Use of biomarkers based on gut microbiota in the manufacture of a product for diagnosing hypertriglyceridemia

Abstract

The application discloses a biomarker which can be used for diagnosing hypertriglyceridemia or predicting the risk of suffering from the disease, and has high specificity and sensitivity, and can be used for accurately diagnosing hypertriglyceridemia or predicting the risk of suffering from the disease, and can also be used as a tool for monitoring the treatment of hypertriglyceridemia patients to detect the response to the treatment. Compared with the currently commonly used diagnosis method, the method for diagnosing hypertriglyceridemia or predicting the risk of suffering from the disease based on the biomarker has the characteristics of convenience and rapidness.

Description

Technical Field

[0001] This invention relates to the field of biotechnology, and in particular to the application of a gut microbiota-based biomarker in the preparation of products for diagnosing hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia. Background Technology

[0002] Dyslipidemia is a common metabolic disease closely related to the development of atherosclerotic cardiovascular disease (ASCVD). Hypertriglyceridemia (HTG), the most common dyslipidemia in my country, warrants attention due to its correlation with residual cardiovascular risk. According to the "Guidelines for the Prevention and Treatment of Dyslipidemia in Chinese Adults (2016 Revised Edition)," a fasting triglyceride (TG) level of <1.7 mmol / L is considered appropriate, while TG ≥2.3 mmol / L is considered elevated. Individuals with serum TG >2.3 mmol / L have an increased risk of ASCVD; when TG >5.6 mmol / L, in addition to the risk of ASCVD, the risk of acute pancreatitis is significantly increased.

[0003] According to a 2010 epidemiological survey in my country, among 97,409 residents aged 18 and above surveyed, the prevalence of hyperlipidemia (HTG), low HDL-C, and high LDL-C was 11.3%, 44.8%, and 2.1%, respectively. Low HDL-C and HTG were the predominant types of dyslipidemia among Chinese adults. Another nationwide epidemiological survey of dyslipidemia showed a prevalence of 36.4%, with HTG and low HDL-C prevalence at 12.7% and 14.3%, respectively. However, the awareness, treatment, and control rates of dyslipidemia were only 31.0%, 19.5%, and 8.9%, respectively. This indicates a high prevalence of HTG in my country and insufficient treatment, requiring attention.

[0004] In recent years, my country has published the "Multidisciplinary Expert Consensus on Clinical Management of Hypertriglyceridemia," which emphasizes the clinical significance of early detection of HTG, strengthening lifestyle changes, and lifelong management.

[0005] The gut microbiota interacts closely with dietary components and profoundly influences human physiology, including lipid metabolism. A 2022 study published in *Nature Medicine* showed that the gut microbiota significantly contributes to changes in blood lipids and identified several bacterial taxa associated with triglyceride (TG) levels. Although some studies have reported the association of certain gut bacteria with hypertriglyceridemia, most are based on small samples. Currently, large-scale studies are lacking regarding whether gut microbiota can serve as biomarkers for hypertriglyceridemia, and which specific gut bacteria can serve as biomarkers for early warning and diagnosis of hypertriglyceridemia. Summary of the Invention

[0006] The purpose of this invention is to provide the application of gut microbiota-based biomarkers in the preparation of products for diagnosing hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia.

[0007] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0008] The first aspect of this invention provides biomarkers based on gut microbiota, said biomarkers comprising at least one of A, wherein A is: Veillonella rogosae, Clostridium sp. AT4, Bifidobacterium longum, Roseburia hominis, Bacteroides ovatus, Clostridium sp. AM22-11AC, Bilophila wadsworthia, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella parvula, Bacteroides caccae, Ruthenibacterium lactatiformans, and Fusobacterium burmannii. The bacteria include *Mortiferum*, *Firmicutes bacterium* AF16-15, *Clostridiaceae bacterium Marseille* Q3526, *Alistipes sp.* AF17-16, *Streptococcus australis*, and *Bacteroides intestinalis*.

[0009] In some embodiments, the biomarkers include any 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 or 18 of A.

[0010] A second aspect of the present invention provides the use of gut microbiota-based biomarkers and / or reagents for detecting biomarkers in the preparation of products for diagnosing hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, wherein the biomarkers are those provided in the first aspect of the present invention.

[0011] In some embodiments, the application includes diagnosing whether a subject has hypertriglyceridemia based on the levels of the biomarker in a sample containing the subject's gut microbiota.

[0012] In some embodiments, the reagents for detecting biomarkers include reagents for detecting the content of the biomarkers in samples containing the gut microbiota of a subject.

[0013] In some implementations, the content of the biomarker includes relative abundance.

[0014] In some embodiments, the sample includes at least one of feces and rectal swabs.

[0015] In some implementations, the relative abundance of the biomarker is obtained using sequencing methods.

[0016] In some embodiments, the sequencing method includes second-generation sequencing or third-generation sequencing.

[0017] In some implementations, the sequencing method includes metagenomic sequencing.

[0018] In some embodiments, the sequencing method is performed using at least one device selected from Solexa synthetic sequencing devices, semiconductor chip sequencing devices, cPAS sequencing devices, 454 sequencing devices, and SOLiD sequencing devices.

[0019] In some embodiments, the sequencing method includes:

[0020] Nucleic acid samples were isolated from the samples containing the subject's gut microbiota.

[0021] Based on the nucleic acid sample, a DNA library was constructed, and the DNA library was sequenced to obtain sequencing results.

[0022] Based on the sequencing results, the sequencing results are compared with a reference gene set to determine the relative abundance of the biomarkers.

[0023] In some embodiments, the reference gene set includes metagenomic sequencing of samples from multiple patients with hypertriglyceridemia and multiple healthy controls to obtain a non-redundant gene set, and then merging the non-redundant gene set with a gut microbiome gene set to obtain the reference gene set.

[0024] A third aspect of the present invention provides a kit for diagnosing hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, the kit containing reagents for detecting the content of biomarkers, the biomarkers being the biomarkers provided in the first aspect of the present invention.

[0025] In some embodiments, the reagents for detecting the content of the biomarker include reagents for detecting the relative abundance of the biomarker.

[0026] In some embodiments, the reagents for detecting the relative abundance of the biomarker include reagents for detecting the relative abundance of the biomarker by sequencing.

[0027] In some embodiments, the reagents for detecting the relative abundance of the biomarker include reagents for constructing sequencing libraries.

[0028] In some embodiments, the reagents for constructing sequencing libraries include reagents for constructing metagenomic sequencing libraries.

[0029] In some embodiments, the reagent for detecting the relative abundance of the biomarker also includes reagents for extracting nucleic acid samples.

[0030] A fourth aspect of the present invention provides a method for constructing a predictive model for diagnosing hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, the method comprising:

[0031] Construct a training set and a test set containing subjects, and sort out the content of biomarkers in the gut microbiota of the subjects in the training set or the test set and whether they have hypertriglyceridemia, to obtain the training dataset or the test dataset respectively.

[0032] The prediction model is constructed by using ensemble learning methods to train the training dataset using machine learning.

[0033] The biomarker is the biomarker provided in the first aspect of this invention.

[0034] In some implementations, the construction method further includes validating the effectiveness of the prediction model using the test dataset.

[0035] In some implementations, the content of the biomarker includes relative abundance.

[0036] In some embodiments, the content of the biomarker is obtained using sequencing methods.

[0037] In some embodiments, the sequencing method includes second-generation sequencing or third-generation sequencing.

[0038] In some implementations, the sequencing method includes metagenomic sequencing.

[0039] In some implementations, the ensemble learning method includes a random forest prediction model.

[0040] A fifth aspect of the present invention provides an apparatus for assisting in the diagnosis of hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, the apparatus comprising a detection unit and an evaluation unit.

[0041] The detection unit is used to perform the following:

[0042] Detect the levels of biomarkers in samples containing the gut microbiota of the subjects;

[0043] The evaluation unit is used to perform the following:

[0044] The content detected by the detection unit is input into the prediction model constructed according to the construction method of the fourth aspect, and the probability of having hypertriglyceridemia is output.

[0045] A sixth aspect of the present invention provides an electronic device, the electronic device comprising one or more processors and a memory for storing executable instructions.

[0046] The one or more processors are configured to invoke executable instructions stored in the memory to implement the functions of the device for assisting in the diagnosis of hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, as described in the fifth aspect.

[0047] A seventh aspect of the present invention provides a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, implement the function of the apparatus of the fifth aspect for assisting in the diagnosis of hypertriglyceridemia and / or predicting the risk of having hypertriglyceridemia.

[0048] The eighth aspect of the present invention provides the use of biomarkers as targets in screening drugs for the treatment or prevention of hypertriglyceridemia, wherein the biomarkers are the same as those provided in the first aspect of the present invention.

[0049] The ninth aspect of the present invention provides a method for diagnosing hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, comprising:

[0050] The levels of the biomarkers described were detected in samples containing the gut microbiota of the subjects.

[0051] The detected levels of the biomarkers are compared with a reference dataset or reference value;

[0052] The biomarker is the biomarker provided in the first aspect of this invention.

[0053] In some implementations, the reference dataset includes the levels of the biomarkers from samples from multiple patients with hypertriglyceridemia and multiple healthy controls.

[0054] In some implementations, the step of comparing the level of the detected biomarker with a reference dataset or reference value further includes executing a predictive model constructed according to the construction method of the fourth aspect to obtain the probability of having hypertriglyceridemia.

[0055] The beneficial effects of this invention are:

[0056] Gut microbiota are the microbial community residing in the human gut, often referred to as the "second genome." The human gut microbiota and the host form an interconnected whole. Gut microbiota can produce metabolites or small molecules that are subsequently absorbed by the host gut, thus influencing host physiology. Gut microbiota can both transform and synthesize lipids and break down dietary lipids, producing secondary metabolites with host-regulated properties, thereby regulating the triglyceride metabolic cycle. This invention analyzes the gut microbiota and gene sequences of patients with hypertriglyceridemia and healthy individuals to screen for biomarkers highly correlated with hypertriglyceridemia. The biomarkers provided by this invention have high specificity and sensitivity, enabling accurate diagnosis of hypertriglyceridemia or prediction of disease risk. These biomarkers can also be used as a tool for monitoring treatment response in patients with hypertriglyceridemia. Compared to currently used diagnostic methods, the method for diagnosing hypertriglyceridemia or predicting disease risk based on this biomarker is convenient and rapid. Attached Figure Description

[0057] Figure 1 This shows the error rate distribution of 10 five-fold cross-validations in the random forest classifier in Example 1.

[0058] Figure 2 The receiver operating characteristic (ROC) curve and area under the curve (AUC) of the training set consisting of patients with hypertriglyceridemia and healthy controls, based on the random forest model (biomarker 12) in Example 1.

[0059] Figure 3 For Example 1, the ROC curve and AUC of the validation set consisting of patients with hypertriglyceridemia and healthy controls are based on the random forest model (biomarker 12).

[0060] Figure 4 Example 1 demonstrates the specific performance of the model in predicting on the validation set. Detailed Implementation

[0061] The present invention will be further described in detail below through specific embodiments. Unless otherwise specified, the raw materials, reagents, or apparatus used in the embodiments can be obtained from conventional commercial sources or by existing technical methods. Unless otherwise specified, the experimental or testing methods are conventional methods in the art.

[0062] To address the shortcomings of hypertriglyceridemia diagnosis, such as the inability to provide early warning or predict the onset and progression of hypertriglyceridemia, this invention proposes the application of gut microbiota-based biomarkers in the diagnosis of hypertriglyceridemia and / or the prediction of the risk of developing hypertriglyceridemia. This can help with disease pathological classification, as well as drug target research, precision medicine, and pathogenesis studies.

[0063] According to a first aspect of the present invention, the present invention provides a biomarker based on gut microbiota, said biomarker comprising at least one of A, said A being: Veillonella rogosae, Clostridium sp. AT4, Bifidobacterium longum, Roseburia hominis, Bacteroides ovatus, Clostridium sp. AM22-11AC, Bilophila wadsworthia, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella parvula, Bacteroides caccae, Ruthenibacterium lactatatiformans, and Fusobacterium burmannii. The bacteria include *Mortiferum*, *Firmicutesbacterium* AF16-15, *Clostridiaceae bacterium Marseille-Q3526*, *Alistipes sp.* AF17-16*, *Streptococcus australis*, and *Bacteroides intestinalis*.

[0064] The gut microbiota is the microbial community residing in the human gut, often referred to as the "second genome." The human gut microbiota and the host form an interconnected whole. Gut microbiota can produce metabolites or small molecules that are subsequently absorbed by the host gut, thus influencing host physiology. Gut microbiota can both transform and synthesize lipids and break down dietary lipids, producing secondary metabolites with host-regulated properties, thereby regulating the triglyceride metabolic cycle. Therefore, this invention analyzes the gut microbiota and gene sequences of patients with hypertriglyceridemia and healthy individuals to screen for biomarkers highly correlated with hypertriglyceridemia. These biomarkers can be used to accurately diagnose hypertriglyceridemia or predict disease risk and can also be used to monitor treatment efficacy.

[0065] In this invention, biomarkers refer to microorganisms belonging to the species, without limiting them to specific strains. A "species" is the most basic classification unit of microorganisms; it is a general term for a large group of strains with highly similar phenotypic characteristics, extremely close phylogenetic relationships, and significant differences from other species within the same genus. Species can be identified using conventional methods in the art at the levels of cellular morphology and habits, cellular component chemistry, protein levels, nucleic acid levels, and mathematical statistical or computational biology levels.

[0066] In some embodiments, the biomarkers include any 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 or 18 of A.

[0067] In some embodiments, A is: Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides warwickii, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, and Lactobacillus rusonicus.

[0068] In some embodiments, the biomarker comprises at least Veillonella rojonetus.

[0069] In some embodiments, the biomarker includes at least Clostridium AT4.

[0070] In some embodiments, the biomarker contains at least Bifidobacterium longum.

[0071] In some embodiments, the biomarker comprises at least *Rosbyrus roxburghii*.

[0072] In some embodiments, the biomarker comprises at least Bacteroides ovalis.

[0073] In some embodiments, the biomarker comprises at least Clostridium AM22-11AC.

[0074] In some embodiments, the biomarker includes at least *Bileophilus warwickii*.

[0075] In some embodiments, the biomarker comprises at least Bacteroides nordini.

[0076] In some embodiments, the biomarker includes at least Haemophilus parainfluenzae.

[0077] In some embodiments, the biomarker comprises at least *Veillonella spp.*

[0078] In some embodiments, the biomarker comprises at least Bacteroides coccidioides.

[0079] In some embodiments, the biomarker includes at least *Russian lactobacillus*.

[0080] In some embodiments, the biomarker is selected from any one of (A) to (OG):

[0081] (A) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella spp. and Russian lactobacillus;

[0082] (B) Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0083] (C) Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovale, Villous cocci and Russian lactobacillus;

[0084] (D) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus;

[0085] (E) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacteroides warfarinii and Russian lactobacillus.

[0086] (F) Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus.

[0087] (G) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella.

[0088] (H) Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus.

[0089] (I) Veillonella roximately, Bacteroides nordini, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0090] (J) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0091] (K) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus.

[0092] (L) Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella spp., Bacteroides fecalith, Bacteroides vortex, and Bacteroides vortex and Bacteroides lactis.

[0093] (M) Bacteroides ovale and Russian lactobacillus;

[0094] (N) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus;

[0095] (O) Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0096] (P) Veillonella roximatei, Bacteroides nordini, and Russian lactobacillus;

[0097] (Q) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovale, Veillonella microphylla, Bacteroides vortex, and Bacteroides vortex and Bacteroides lactis.

[0098] (R) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0099] (S) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus.

[0100] (T) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides fecalith, and Russian lactobacillus.

[0101] (U) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides vortex and Russian lactobacillus;

[0102] (V) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus.

[0103] (W) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus;

[0104] (X) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides warwickii and Russian lactobacillus.

[0105] (Y) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0106] (Z) Bifidobacterium longum, Bacteroides nordini, and Russian lactobacillus;

[0107] (AA) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Veillonella spp. and Russian lactobacillus;

[0108] (AB) Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovale, Villous cocci, Bacteroides warwickii and Russian lactobacillus;

[0109] (AC) Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus.

[0110] (AD) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus.

[0111] (AE) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0112] (AF) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyrates humanis, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus.

[0113] (AG) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus.

[0114] (AH) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus.

[0115] (AI) Bifidobacterium longum, Veillonella spp. and Russian lactobacillus;

[0116] (AJ) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Villeron's cocci, Bacteroides fecalith, Bacteroides warfarinii and Bacteroides rubella-proliferator ...

[0117] (AK) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Veillonella septum and Russian lactobacillus;

[0118] (AL) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vortex and Russian lactobacillus.

[0119] (AM) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides warwickii and Russian lactobacillus;

[0120] (AN) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides warfarinii, and Russian lactobacillus.

[0121] (AO) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0122] (AP) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella septum, Bacillus vortex, and Russian lactobacillus.

[0123] (AQ) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0124] (AR) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus.

[0125] (AS) Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Russian lactobacillus.

[0126] (AT) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella spp., Bacteroides vortex and Russian lactobacillus;

[0127] (AU) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus.

[0128] (AV) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus.

[0129] (AW) Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovale, Veillonella microphylla, Bacillus vortex, and Lactobacillus rusonicus.

[0130] (AX) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus;

[0131] (AY) Veillonella roximatei, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis and Russian lactobacillus;

[0132] (AZ) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella spp., Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus.

[0133] (BA) Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides warwickii and Russian lactobacillus;

[0134] (BB) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus;

[0135] (BC) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus.

[0136] (BD) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vortex, and Bacteroides niger.

[0137] (BE) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Veillonella microphylla, Bacillus vortex and Russian lactobacillus.

[0138] (BF) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bileophilus warwickii and Russian lactobacillus.

[0139] (BG) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacteroides vortex and Bacteroides rubella.

[0140] (BH) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0141] (BI) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovale, Veillonella microphylla, Bacteroides warwickii and Russian lactobacillus;

[0142] (BJ) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus.

[0143] (BK) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides warwickii and Russian lactobacillus;

[0144] (BL) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith and Russian lactobacillus;

[0145] (BM) Bifidobacterium longum, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0146] (BN) Veillonella roximately, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacillus vortex and Russian lactobacillus.

[0147] (BO) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vulgaris and Lactobacillus rusonicus.

[0148] (BP) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus.

[0149] (BQ) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus.

[0150] (BR) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis and Russian lactobacillus;

[0151] (BS) Bacteroides nordii, Clostridium AM22-11AC, Bacteroides warwickii and Russian lactobacillus;

[0152] (BT) Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus;

[0153] (BU) Bacteroides ovalis, Veillonella spp. and Russian lactobacillus;

[0154] (BV) Bacteroides ovale, Bacteroides warwickii and Russian lactobacillus;

[0155] (BW) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus.

[0156] (BX) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus.

[0157] (BY) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex and Russian lactobacillus.

[0158] (BZ) Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Bacteroides niger;

[0159] (CA) Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis and Russian lactobacillus;

[0160] (CB) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacteroides warfarinii and Russian lactobacillus;

[0161] (CC) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides foetida and Russian lactobacillus;

[0162] (CD) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides foetida and Russian lactobacillus;

[0163] (CE) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, Bacillus vortex, and Russian lactobacillus.

[0164] (CF) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Bacteroides lactis;

[0165] (CG) Veillonella roximatei, Bacteroides nordini, Clostridium AT4 and Russian lactobacillus;

[0166] (CH) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella spp. and Russian lactobacillus;

[0167] (CI) Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovale and Russian lactobacillus;

[0168] (CJ) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis and Russian lactobacillus;

[0169] (CK) Veillonella roximately, Bifidobacterium longum, Bacteroides nigrostriatum, Clostridium AM22-11AC, Rosbyella humanis, Bacillus vortex and Russian lactobacillus;

[0170] (CL) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vulgaris, and Lactobacillus rusonicus.

[0171] (CM) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus.

[0172] (CN) Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides warwickii and Bacteroides niger;

[0173] (CO) Veillonella roximately, Bacteroides nordii, Bacillus vortex, and Russian lactobacillus;

[0174] (CP) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vulgaris, and Bacteroides rubella-producing.

[0175] (CQ) Bacteroides niger, Clostridium AM22-11AC, Vibrio vulnificus, Bacteroides vortex and Russian lactobacillus;

[0176] (CR) Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus;

[0177] (CS) Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus.

[0178] (CT) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Bacteroides ovalis and Veillonella septum;

[0179] (CU) Bifidobacterium longum, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus.

[0180] (CV) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides warwickii and Russian lactobacillus;

[0181] (CW) Veillonella roximatei, Clostridium AT4, Bacteroides ovalis and Russian lactobacillus;

[0182] (CX) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacillus vortex and Russian lactobacillus.

[0183] (CY) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides warfarinii and Russian lactobacillus.

[0184] (CZ) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella spp., Bacteroides foetida, and Russian lactobacillus.

[0185] (DA) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Bacteroides fecalith, Bacteroides vortex and Russian lactobacillus;

[0186] (DB) Veillonella roximately, Bacteroides nordini, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacillus vortex and Russian lactobacillus;

[0187] (DC) Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus;

[0188] (DD) Clostridium AM22-11AC, Bacteroides ovalis and Russian lactobacillus;

[0189] (DE) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus;

[0190] (DF) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides warfarinii and Russian lactobacillus.

[0191] (DG) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella septum, Bacillus vortex, and Russian lactobacillus.

[0192] (DH) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bileophilus vortex and Russian lactobacillus.

[0193] (DI) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacillus vortex and Russian lactobacillus;

[0194] (DJ) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0195] (DK) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0196] (DL) Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus.

[0197] (DM) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides fecalith, and Russian lactobacillus.

[0198] (DN) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacteroides warfarinii and Russian lactobacillus;

[0199] (DO) Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis, Villeron cocci, Bacteroides fecalith and Russian lactobacillus;

[0200] (DP) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0201] (DQ) Veillonella roximatei, Bacteroides nordini, Clostridium AM22-11AC, Bacteroides ovalis and Russian lactobacillus;

[0202] (DR) Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella spp. and Russian lactobacillus;

[0203] (DS) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacillus vortex, and Bacillus vortex.

[0204] (DT) Bifidobacterium longum, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0205] (DU) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella spp., Bacteroides foetida, Bacteroides warfarinii and Russian lactobacillus.

[0206] (DV) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vortex, and Bacteroides var. vortex and Bacteroides lactis.

[0207] (DW) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella septum and Russian lactobacillus;

[0208] (DX) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC and Russian lactobacillus;

[0209] (DY) Veillonella roximately, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus;

[0210] (DZ) Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0211] (EA) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis and Russian lactobacillus;

[0212] (EB) Bifidobacterium longum, Bacteroides nordini, Veillonella microphylla and Russian lactobacillus;

[0213] (EC) Bifidobacterium longum, Bacteroides nordini, Bacillus vortex, and Russian lactobacillus;

[0214] (ED) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus.

[0215] (EE) Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella spp., Bileophilus warwickii, and Russian lactobacillus.

[0216] (EF) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacillus vortex and Russian lactobacillus.

[0217] (EG) Veillonella roximately, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella septum, Bacillus vortex, and Russian lactobacillus.

[0218] (EH) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0219] (EI) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides fecalith, Bacteroides vortex and Russian lactobacillus.

[0220] (EJ) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacillus vortex and Russian lactobacillus.

[0221] (EK) Bifidobacterium longum, Clostridium AT4, Veillonella spp. and Russian lactobacillus;

[0222] (EL) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus.

[0223] (EM) Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides foetida and Russian lactobacillus;

[0224] (EN) Veillonella rojoneri, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella septum, Bacteroides fecalith, and Russian lactobacillus;

[0225] (EO) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0226] (EP) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0227] (EQ) Veillonella roximately, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0228] (ER) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vulgaris, and Lactobacillus wrasseiformis.

[0229] (ES) Veillonella rojoneum, Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovale and Russian lactobacillus;

[0230] (ET) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides vortex, and Bacteroides niger.

[0231] (EU) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella spp., Bileophilus warwickii and Russian lactobacillus.

[0232] (EV) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Veillonella spp. and Russian lactobacillus.

[0233] (EW) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus.

[0234] (EX) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacillus vortex, and Russian lactobacillus.

[0235] (EY) Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacillus vortex and Russian lactobacillus.

[0236] (EZ) Bacteroides niger, Clostridium AM22-11AC, Veillonella spp. and Russian lactobacillus;

[0237] (FA) Veillonella roximately, Bacteroides nordini, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacillus cholerae and Russian lactobacillus;

[0238] (FB) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacteroides vulgaris, and Russian lactobacillus.

[0239] (FC) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus.

[0240] (FD) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Veillonella microphylla and Russian lactobacillus.

[0241] (FE) Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, Bacillus vortex, and Bacillus vortex and Russian lactobacillus.

[0242] (FF) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vulgaris, and Bacteroides rubella-producing.

[0243] (FG) Veillonella roximately, Bacteroides nordini, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus;

[0244] (FH) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Bacteroides rubella-proliferator ...

[0245] (FI) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella septum, Bacteroides fecalith, and Russian lactobacillus.

[0246] (FJ) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovale, Bacteroides warwickii and Russian lactobacillus;

[0247] (FK) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0248] (FL) Veillonella roximately, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacillus vortex, and Russian lactobacillus;

[0249] (FM) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus.

[0250] (FN) Bifidobacterium longum, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0251] (FO) Veillonella roximatei, Bacteroides nordii, Clostridium AM22-11AC, Veillonella septum and Russian lactobacillus;

[0252] (FP) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0253] (FQ) Veillonella roximately, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacillus vortex, and Russian lactobacillus;

[0254] (FR) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella spp. and Bacteroides fecalith;

[0255] (FS) Veillonella roximately, Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Bacillus vorinae and Russian lactobacillus;

[0256] (FT) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Veillonella microphylla, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus.

[0257] (FU) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Bacteroides rubella-producing;

[0258] (FV) Bifidobacterium longum, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0259] (FW) Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus;

[0260] (FX) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacillus vortex, and Russian lactobacillus;

[0261] (FY) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Haemophilus parainfluenzae and Russian lactobacillus;

[0262] (FZ) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0263] (GA) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella-proliferator ...

[0264] (GB) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides fecalith, and Russian lactobacillus.

[0265] (GC) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus.

[0266] (GD) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Veillonella microphylla and Russian lactobacillus;

[0267] (GE) Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovale, Villeron cocci, Bacteroides fecalith, Bacteroides warwickii and Bacteroides niger.

[0268] (GF) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella microphylla, Bacillus vortex, and Russian lactobacillus.

[0269] (GG) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0270] (GH) Veillonella rojoneum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0271] (GI) Bacteroides nigrostriatus, Rosbyella humanis, Haemophilus parainfluenzae, and Russian lactobacillus;

[0272] (GJ) Bacteroides niger, Haemophilus parainfluenzae, Veillonella spp. and Russian lactobacillus;

[0273] (GK) Bacteroides niger, Bacteroides ovalis, Bacteroides velutipes, and Bacteroides niger;

[0274] (GL) Bacteroides nigrostriatus, Bacteroides ovatus, Bacteroides warwickii, and Bacteroides rubella lactis;

[0275] (GM) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus.

[0276] (GN) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella.

[0277] (GO) Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Russian lactobacillus;

[0278] (GP) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella-proliferator ...

[0279] (GQ) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis and Russian lactobacillus;

[0280] (GR) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides warfarinii and Russian lactobacillus.

[0281] (GS) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warwickii and Bacteroides lactis;

[0282] (GT) Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus;

[0283] (GU) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus;

[0284] (GV) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vulgaris, and Bacteroides rubella-producing.

[0285] (GW) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides warwickii and Russian lactobacillus;

[0286] (GX) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Bacteroides vortex.

[0287] (GY) Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warwickii and Lactobacillus rubella.

[0288] (GZ) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Clostridium AM22-11AC, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus.

[0289] (HA) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacillus vortex and Russian lactobacillus.

[0290] (HB) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus.

[0291] (HC) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacillus vortex, and Russian lactobacillus.

[0292] (HD) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Russian lactobacillus.

[0293] (HE) Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0294] (HF) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacteroides warfarinii and Russian lactobacillus.

[0295] (HG) Bacteroides niger, Clostridium AM22-11AC, Villeron's cocci, Bacteroides fecalith and Russian lactobacillus;

[0296] (HH) Clostridium AT4, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0297] (HI) Clostridium AT4, Villous cocci, Bacillus vorinae, and Russian lactobacillus;

[0298] (HJ) Bacteroides niger, Clostridium AM22-11AC, Rosbyrates humanis, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0299] (HK) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Bacteroides fecalith;

[0300] (HL) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis and Bacteroides fecalith;

[0301] (HM) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus;

[0302] (HN) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus.

[0303] (HO) Veillonella rojoneum, Clostridium AM22-11AC, Bacteroides ovalis and Russian lactobacillus;

[0304] (HP) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Veillonella microphylla, Bacteroides foetida and Russian lactobacillus;

[0305] (HQ) Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0306] (HR) Bifidobacterium longum, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0307] (HS) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0308] (HT) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Bacteroides fecalith.

[0309] (HU) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0310] (HV) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus.

[0311] (HW) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus;

[0312] (HX) Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0313] (HY) Veillonella roximately, Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC and Russian lactobacillus;

[0314] (HZ) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae and Russian lactobacillus;

[0315] (IA) Bifidobacterium longum, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides warwickii and Russian lactobacillus;

[0316] (IB) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0317] (IC) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0318] (ID) Veillonella rojoneum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides foetida and Russian lactobacillus;

[0319] (IE) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella septum and Russian lactobacillus.

[0320] (IF) Veillonella roximatei, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis and Russian lactobacillus;

[0321] (IG) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Rosbyrates humanis, Veillonella microphylla and Russian lactobacillus;

[0322] (IH) Clostridium AM22-11AC, Rosbyrates humanis, Bacteroides ovalis and Russian lactobacillus;

[0323] (II) Veillonella roximately, Bacteroides nordini, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides vortex and Bacteroides rubella-producing;

[0324] (IJ) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus;

[0325] (IK) Veillonella roximatei, Bacteroides nordini, Clostridium AM22-11AC, Haemophilus parainfluenzae and Russian lactobacillus;

[0326] (IL) Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0327] (IM) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella spp. and Bacteroides fecalith;

[0328] (IN) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0329] (IO) Veillonella rocephalosporin, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microcarpa, Bacillus vorinae and Russian lactobacillus;

[0330] (IP) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Veillonella spp. and Bacteroides fecalith;

[0331] (IQ) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacillus vorinae, and Russian lactobacillus.

[0332] (IR) Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella spp. and Russian lactobacillus;

[0333] (IS) Bacteroides ovalis, Vibrio vulnificus, Bacteroides warwickii and Russian lactobacillus;

[0334] (IT) Veillonella roximately, Bifidobacterium longum, Bacteroides nordini, Clostridium AT4 and Russian lactobacillus;

[0335] (IU) Veillonella roximately, Bifidobacterium longum, Bacteroides nordini, Bacteroides ovalis and Russian lactobacillus;

[0336] (IV) Veillonella roximately, Bifidobacterium longum, Bacteroides nordini, Bacillus vorinae, and Russian lactobacillus;

[0337] (IW) Veillonella roximatei, Bifidobacterium longum, Clostridium AT4, Bacteroides ovalis and Russian lactobacillus;

[0338] (IX) Veillonella roximately, Bifidobacterium longum, Clostridium AT4, Bacillus vortex and Russian lactobacillus;

[0339] (IY) Veillonella roximatei, Bacteroides nordini, Clostridium AT4, Bacteroides ovalis and Russian lactobacillus;

[0340] (IZ) Veillonella roximately, Bacteroides nordini, Clostridium AT4, Bacillus vortex and Russian lactobacillus;

[0341] (JA) Veillonella roximately, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus;

[0342] (JB) Veillonella roximatei, Bacteroides nordii, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0343] (JC) Veillonella roximatei, Bacteroides nordii, Bacteroides ovalis, Bacteroides warfarinii, and Russian lactobacillus;

[0344] (JD) Veillonella roximately, Bacteroides nordii, Veillonella microphylla, Bacillus vorinae, and Russian lactobacillus;

[0345] (JE) Veillonella roximatei, Clostridium AT4, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0346] (JF) Veillonella roximately, Clostridium AT4, Bacteroides ovalis, Bacteroides warfarinii, and Russian lactobacillus;

[0347] (JG) Bifidobacterium longum, Bacteroides nordini, Clostridium AT4, Veillonella microphylla and Russian lactobacillus;

[0348] (JH) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Bacteroides ovalis and Russian lactobacillus;

[0349] (JI) Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides fecalith, and Russian lactobacillus;

[0350] (JJ) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0351] (JK) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0352] (JL) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Bacteroides warfarinii, and Russian lactobacillus;

[0353] (JM) Bifidobacterium longum, Bacteroides nordii, Veillonella spp., Bileophilus vortex and Russian lactobacillus;

[0354] (JN) Bacteroides niger, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus;

[0355] (JO) Bacteroides niger, Rosbyrys human, Bacteroides ovalis, Bacteroides warwickii and Russian lactobacillus;

[0356] (JP) Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0357] (JQ) Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0358] (JR) Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides warwickii, and Russian lactobacillus;

[0359] (JS) Bacteroides nigrostriatum, Bacteroides ovatus, Villous cocci, Bacteroides warwickii and Russian lactobacillus;

[0360] (JT) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Bacteroides ovalis and Russian lactobacillus;

[0361] (JU) Veillonella roximatei, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Veillonella septum and Russian lactobacillus;

[0362] (JV) Veillonella roximately, Bifidobacterium longum, Bacteroides nordini, Clostridium AT4, Bacillus vortex and Russian lactobacillus;

[0363] (JW) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Rosbyella humanis, Bacteroides ovalis and Russian lactobacillus;

[0364] (JX) Veillonella roximatei, Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacillus vortex and Russian lactobacillus;

[0365] (JY) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0366] (JZ) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Bacteroides vortex, and Russian lactobacillus;

[0367] (KA) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Veillonella microphylla, Bileophilus vortex and Russian lactobacillus;

[0368] (KB) Veillonella roximately, Bifidobacterium longum, Clostridium AT4, Bacteroides ovalis, Bacillus vorinae, and Russian lactobacillus;

[0369] (KC) Veillonella roximatei, Bacteroides nordii, Clostridium AT4, Bacteroides ovalis, Bacteroides vortex, and Russian lactobacillus;

[0370] (KD) Veillonella roximately, Bacteroides nordii, Clostridium AT4, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus;

[0371] (KE) Veillonella roximatei, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus;

[0372] (KF) Veillonella roximately, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella septum, Bacillus vortex, and Russian lactobacillus;

[0373] (KG) Veillonella roximatei, Bacteroides nordii, Bacteroides ovalis, Veillonella microphylla, Bacteroides warfarinii and Russian lactobacillus;

[0374] (KH) Veillonella roximately, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides warfarinii and Russian lactobacillus;

[0375] (KI) Veillonella roximately, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides fecalith, Bacteroides vortex and Russian lactobacillus;

[0376] (KJ) Veillonella roximatei, Clostridium AT4, Bacteroides ovalis, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus;

[0377] (KK) Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Bacteroides ovale, Veillonella microphylla and Russian lactobacillus;

[0378] (KL) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Bacteroides ovalis, Bacteroides warfarinii and Russian lactobacillus;

[0379] (KM) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Vibrio vulnificus, Bacillus vorinae, and Russian lactobacillus;

[0380] (KN) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, and Russian lactobacillus;

[0381] (KO) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Veillonella microphylla, Bacillus vorinae, and Russian lactobacillus;

[0382] (KP) Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0383] (KQ) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus;

[0384] (KR) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Veillonella microphylla, Bacteroides warwickii and Russian lactobacillus;

[0385] (KS) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warwickii and Bacteroides lactis;

[0386] (KT) Bifidobacterium longum, Clostridium AT4, Bacteroides ovalis, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus;

[0387] (KU) Bacteroides niger, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0388] (KV) Bacteroides niger, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0389] (KW) Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus;

[0390] (KX) Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovale, Veillonella microphylla, Bacteroides vortex, and Russian lactobacillus;

[0391] (KY) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Bacteroides ovalis, Veillonella microphylla, and Russian lactobacillus.

[0392] (KZ) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0393] (LA) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Bacteroides ovale, Bacteroides vortex, and Russian lactobacillus;

[0394] (LB) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus;

[0395] (LC) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus;

[0396] (LD) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Bacteroides fecalith, Bacteroides vortex and Lactobacillus russini;

[0397] (LE) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus;

[0398] (LF) Veillonella roximately, Bifidobacterium longum, Bacteroides nordini, Rosbyella humanis, Haemophilus parainfluenzae, Bacillus vortex, and Russian lactobacillus;

[0399] (LG) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus;

[0400] (LH) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides vortex, and Bacteroides niger and Lactobacillus russini;

[0401] (LI) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella septum, Bacillus vortex, and Russian lactobacillus;

[0402] (LJ) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus;

[0403] (LK) Veillonella roximately, Bifidobacterium longum, Bacteroides nigrostriatum, Bacteroides ovalis, Veillonella microphylla, Bacillus vorinae, and Russian lactobacillus;

[0404] (LL) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vulgaris, and Bacteroides rubella-producing;

[0405] (LM) Veillonella roximately, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus;

[0406] (LN) Veillonella roximately, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0407] (LO) Veillonella roximately, Bacteroides nordii, Clostridium AT4, Bacteroides ovalis, Veillonella microphylla, Bacteroides warfarinii and Russian lactobacillus;

[0408] (LP) Veillonella roximately, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus;

[0409] (LQ) Veillonella roximately, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0410] (LR) Veillonella roximately, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides vortex, and Bacteroides rubella-producing;

[0411] (LS) Veillonella roximately, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella-proliferator ...

[0412] (LT) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0413] (LU) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Veillonella microphylla, Bacillus vortex, and Russian lactobacillus;

[0414] (LV) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus;

[0415] (LW) Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Bacteroides ovale, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus;

[0416] (LX) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus;

[0417] (LY) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0418] (LZ) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus;

[0419] (MA) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Russian lactobacillus.

[0420] (MB) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warwickii and Bacteroides lactis;

[0421] (MC) Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus;

[0422] (MD) Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella spp., Bacteroides fecalith, Bacteroides vortexi, and Russian lactobacillus;

[0423] (ME) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus;

[0424] (MF) Bifidobacterium longum, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus;

[0425] (MG) Bacteroides niger, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus;

[0426] (MH) Bacteroides niger, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovale, Veillonella microphylla, Bacteroides vortex, and Bacteroides vortex and Bacteroides lactis;

[0427] (MI) Bacteroides niger, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus;

[0428] (MJ) Bacteroides niger, Rosbyrys human, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vortex, and Bacteroides niger.

[0429] (MK) Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vortex, and Bacteroides niger.

[0430] (ML) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus;

[0431] (MM) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus.

[0432] (MN) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides vortex, and Bacteroides niger and Russian lactobacillus.

[0433] (MO) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Haemophilus parainfluenzae, Veillonella septum, Bacillus vortex, and Russian lactobacillus.

[0434] (MP) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Bacteroides ovalis, Veillonella microphylla, Bileophilus warwickii and Russian lactobacillus;

[0435] (MQ) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella-proliferator ...

[0436] (MR) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Veillonella microphylla, Bacteroides fecalith, Bacillus vorinae, and Lactobacillus rusonicus.

[0437] (MS) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus;

[0438] (MT) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus;

[0439] (MU) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides vortex, and Bacteroides vortex and Russian lactobacillus;

[0440] (MV) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bileophilus vortex and Russian lactobacillus;

[0441] (MW) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0442] (MX) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacteroides rubella-proliferator ...

[0443] (MY) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vortex, and Bacteroides vortex.

[0444] (MZ) Veillonella roximately, Bifidobacterium longum, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus;

[0445] (NA) Veillonella roximately, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus;

[0446] (NB) Veillonella roximately, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides vortex, and Bacteroides vortexi and Bacteroides rubella.

[0447] (NC) Veillonella roximately, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides vortex, and Bacteroides vortexi and Bacteroides lactis;

[0448] (ND) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Lactobacillus rusonicus.

[0449] (NE) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, Bacillus vortex and Russian lactobacillus;

[0450] (NF) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacillus vortex and Russian lactobacillus.

[0451] (NG) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus;

[0452] (NH) Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus;

[0453] (NI) Bifidobacterium longum, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus.

[0454] (NJ) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bileophilus vortex and Russian lactobacillus.

[0455] (NK) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides fecalith, and Bacillus vortex.

[0456] (NL) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella-proliferator ...

[0457] (NM) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacillus vorinae, and Russian lactobacillus.

[0458] (NN) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus.

[0459] (NO) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacillus vortex and Russian lactobacillus.

[0460] (NP) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vortex, and Bacteroides vortex.

[0461] (NQ) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, Bacillus vortex, and Bacteroides rubella-proliferator ...

[0462] (NR) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella-proliferator ...

[0463] (NS) Veillonella roximately, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella-proliferator ...

[0464] (NT) Veillonella roximately, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vulgaris, and Bacteroides rubella-producing;

[0465] (NU) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vortex, and Bacteroides vortex and Bacteroides lactis.

[0466] (NV) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalithae, and Russian lactobacillus.

[0467] (NW) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vulgaris, and Bacteroides rubella-producing.

[0468] (NX) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacillus vortex, and Bacteroides rubella-proliferator ...

[0469] (NY) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vortex, and Bacteroides vortex and Lactobacillus russini.

[0470] (NZ) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides warwickii, Bacteroides niger and Haemophilus parainfluenzae;

[0471] (OA) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides warwickii, Bacteroides nordii, Haemophilus parainfluenzae, and Veillonella septum.

[0472] (OB) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides vortex, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella septum and Bacteroides fecalith.

[0473] (OC) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides warwickii, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, and Lactobacillus rusonicus.

[0474] (OD) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides vortex, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, Lactobacillus rubella and Clostridium perfringens.

[0475] (OE) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides vortexi, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, Lactobacillus lactis, Clostridium perfringens, Firmicutes AF16-15 and Clostridium Marseille-Q3526;

[0476] (OF) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides warwickii, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, Lactobacillus lactis, Clostridium perfringens, Firmicutes AF16-15, Clostridium Marseille-Q3526 and Cladosporium AF17-16;

[0477] (OG) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides warwickii, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, Lactobacillus lactis, Clostridium perfringens, Firmicutes AF16-15, Clostridium Marseille-Q3526, Alternaria AF17-16, and Streptococcus southernus.

[0478] According to a second aspect of the present invention, the present invention provides the use of gut microbiota-based biomarkers and / or reagents for detecting biomarkers in the preparation of products for diagnosing hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, said biomarkers being the biomarkers provided in the first aspect of the present invention.

[0479] In some implementations, the application includes diagnosing whether a subject has hypertriglyceridemia or predicting the risk of developing hypertriglyceridemia based on the levels of the biomarker in a sample containing the subject's gut microbiota.

[0480] In some embodiments, the reagents for detecting biomarkers include reagents for detecting the content of the biomarkers in samples containing the gut microbiota of a subject.

[0481] In some embodiments, the content of the biomarker includes relative abundance, and the reagent for detecting the biomarker includes a reagent for detecting the relative abundance of the biomarker in a sample containing the gut microbiota of a subject.

[0482] In some embodiments, the sample includes at least one of feces and rectal swabs. Feces are metabolic products of the human body, containing not only metabolic byproducts but also gut microbiota closely related to changes in metabolism and immunity. Studies of feces have revealed significant differences in the composition of gut microbiota between patients with hypertriglyceridemia and healthy individuals, allowing for accurate risk assessment and early diagnosis of hypertriglyceridemia. Fecal analysis ensures accuracy, safety, affordability, and patient compliance. Furthermore, fecal samples are transportable, enabling more flexible testing.

[0483] In some embodiments, the relative abundance of the biomarker is obtained using sequencing methods. The reagents for detecting the biomarker include those for detecting the relative abundance of the biomarker in a sample containing the gut microbiota of a subject by sequencing.

[0484] In some embodiments, the sequencing method includes second-generation sequencing or third-generation sequencing. Preferably, the sequencing method includes metagenomic sequencing.

[0485] In some embodiments, the sequencing method is performed using at least one device selected from Solexa sequencing synthesizers, semiconductor chip sequencing devices, cPAS sequencing devices, 454 sequencing devices, and SOLiD sequencing devices. This allows the high-throughput, deep sequencing capabilities of these devices to be utilized, thereby improving the accuracy and precision of subsequent sequencing data analysis, particularly in statistical testing.

[0486] In this invention, the Solexa synthesis sequencing device refers to a sequencing device based on Solexa synthesis high-throughput sequencing technology (such as the Illumina HiSeq 2000 or HiSeq 2500 sequencers), which is a sequencing technology based on sequencing-by-synthesis (SBS). Bridged PCR reactions are performed on a small flow cell using a single-molecule array. Reversible blocking technology ensures that only one base is synthesized at a time, and the excitation light is captured by a corresponding laser to read the base information. In this invention, the semiconductor chip sequencing device refers to a sequencing device based on semiconductor chip sequencing technology (such as the Thermo Fisher Scientific Ion S5 or Ion PGM sequencers). It uses emulsion PCR to amplify single DNA molecules linked to magnetic beads. The magnetic beads are then attached to a semiconductor chip containing an independent pH-sensor transistor. When the DNA molecules on the magnetic beads are synthesized and sequenced, the pH changes, and the transistor obtains the DNA sequence information based on the pH change. In this invention, the cPAS sequencing device refers to a sequencer based on combined probe-anchor synthesis (such as the MGISEQ-200, MGISEQ-500, MGISEQ-2000, or MGISEQ-T7 sequencer from BGI Genomics). This device amplifies a single-stranded DNA circular molecule into DNA nanoballs (DNBs) through rolling circle replication, and then loads the DNBs onto a chip. During DNB synthesis and sequencing, the fluorescence released by the bound nucleotides is collected, thereby reading the DNA sequence information. The 454 sequencing device in this invention refers to a device based on pyrosequencing technology (such as the Roche 454GS FLX genome sequencer). This technology combines immobilized primer microspheres with single-stranded DNA to construct a DNA template library, and uses microemulsion PCR to generate amplification products. After multiple cycles, each microsphere surface is bound with a large number of identical DNA fragments. The microspheres are enriched and transferred to a microplate with a regular microwell array, with each microwell holding only one microsphere. One side of the microplate is used for sequencing reactions, while the other side is in contact with the CCD optical detection system. Sequencing also employs sequencing-by-synthesis. When a nucleoside triphosphate binds to the DNA strand, it releases pyrophosphate. This pyrophosphate then triggers a cascade reaction involving luciferase and ATP thioyltransferase, releasing a light signal. This optical signal is used to detect the DNA sequence. In this invention, the SOLiD sequencing device refers to a device based on SOLiD ligation sequencing technology (such as ABI's SOLiD sequencer), which uses a ligation reaction for sequencing-by-synthesis.Universal primers are hybridized to a DNA library template attached to microspheres, followed by a series of ligation reactions. Each ligation reaction occurs between the extended DNA strand and a specific probe in a pool of fluorescently labeled single-stranded octanucleotide probes. The bases of the octanucleotide probes have a clear correspondence with specific fluorescent colors. After a series of complex cycles of ligation, enzyme digestion, and next primer binding, a fluorescence image is acquired, allowing the DNA sequence information to be read based on the correspondence between bases and fluorescence.

[0487] In some embodiments, the sequencing method includes:

[0488] Nucleic acid samples were isolated from the samples containing the subject's gut microbiota.

[0489] Based on the nucleic acid sample, a DNA library is constructed, and the DNA library is sequenced to obtain sequencing results. For example, a sequencing library is constructed using the nucleic acid sample, and bidirectional metagenomic sequencing is performed on the Illumina HiSeq2000 sequencing platform. The sequencing data is filtered to remove adapter contamination sequences, low-quality sequences, and host genome contamination sequences to obtain high-quality sequencing fragments.

[0490] Based on the sequencing results, the sequencing results are compared with a reference gene set to determine the relative abundance of the biomarkers.

[0491] In some embodiments, the reference gene set includes metagenomic sequencing of samples from multiple patients with hypertriglyceridemia and multiple healthy controls to obtain a non-redundant gene set, and then merging the non-redundant gene set with a gut microbiome gene set to obtain the reference gene set. The non-redundant gene set, as commonly understood by those skilled in the art, is simply the set of genes remaining after removing redundant genes. Redundant genes typically refer to multiple copies of a gene appearing on a chromosome. The reference gene set in this invention can be an existing gene set, such as a publicly available gut microbiome reference gene set; alternatively, it can be obtained by metagenomic sequencing of samples from multiple patients with hypertriglyceridemia and multiple healthy controls to obtain a non-redundant gene set, and then merging the non-redundant gene set with a gut microbiome gene set to obtain the reference gene set. The reference gene set obtained in this way provides more comprehensive information and more reliable detection results.

[0492] In some implementations, the relative abundance of the biomarkers is obtained by inputting the sequencing results into metagenomic species annotation software. There are no particular limitations on the metagenomic species annotation software used in this invention; Karen, Kaiju, Metaplhan, etc., can all be used to confirm the relative abundance of the biomarkers. For example, the relative abundance of species can be calculated by inputting high-quality sequencing reads obtained from the Illumina HiSeq 2000 sequencing platform into the software Metaphlan4 (https: / / huttenhower.sph.harvard.edu / metaphlan / ). The method described in the literature Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn4, Nature Biotechnology 41, 1633–1644 (2023) can be followed. The abundance calculation steps are as follows: 1) Align the high-quality sequencing fragments to the reference marker gene; 2) Count the number of inserted fragments based on the alignment results; 3) Standardize the number of inserted fragments to the length of the marker gene (standardize according to the average gene length and round down to obtain the abundance of the corresponding species) to obtain the corresponding abundance.

[0493] In some embodiments, the product includes diagnostic kits, auxiliary diagnostic devices, electronic devices, etc.

[0494] A third aspect of the present invention provides a kit for diagnosing hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, the kit containing reagents for detecting the content of biomarkers, the biomarkers being the biomarkers provided in the first aspect of the present invention.

[0495] This kit can be used to determine the levels of these biomarkers in the gut microbiota of subjects. Based on the obtained levels, it is possible to diagnose whether a subject has hypertriglyceridemia and / or predict or forecast the risk of developing hypertriglyceridemia, as well as the efficiency of monitoring the treatment effect in patients with hypertriglyceridemia.

[0496] In some embodiments, the reagents for detecting the content of the biomarker include reagents for detecting the relative abundance of the biomarker.

[0497] In some embodiments, the reagents for detecting the relative abundance of the biomarker include reagents for detecting the relative abundance of the biomarker by sequencing. In some embodiments, the reagents for detecting the relative abundance of the biomarker include reagents for constructing a sequencing library. In some embodiments, the reagents for constructing a sequencing library include reagents for constructing a metagenomic sequencing library.

[0498] In some embodiments, the reagent for detecting the relative abundance of the biomarker also includes reagents for extracting nucleic acid samples.

[0499] A fourth aspect of the present invention provides a method for constructing a predictive model for diagnosing hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, the method comprising:

[0500] Construct a training set and a test set containing subjects, and sort out the content of biomarkers in the gut microbiota of the subjects in the training set or the test set and whether they have hypertriglyceridemia, to obtain the training dataset or the test dataset respectively.

[0501] The prediction model is constructed by using ensemble learning methods to train the training dataset using machine learning.

[0502] The biomarker is the biomarker provided in the first aspect of this invention.

[0503] In this invention, the training set and validation set have meanings known in the art. In this invention, the training set refers to a dataset containing the levels of various biomarkers in test samples from subjects with and without hypertriglyceridemia, representing a certain number of samples. The validation set is an independent dataset used to test the performance of the training set. Subjects without hypertriglyceridemia are those in good mental condition and can be humans or animal models.

[0504] In some implementations, the construction method further includes validating the effectiveness of the prediction model using the test dataset.

[0505] In some implementations, the content of the biomarker includes relative abundance.

[0506] In some embodiments, the content of the biomarker is obtained using sequencing methods.

[0507] In some embodiments, the sequencing method includes second-generation sequencing or third-generation sequencing.

[0508] In some implementations, the sequencing method includes metagenomic sequencing.

[0509] In some implementations, the ensemble learning method includes a random forest prediction model.

[0510] A fifth aspect of the present invention provides an apparatus for assisting in the diagnosis of hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, the apparatus comprising a detection unit and an evaluation unit.

[0511] The detection unit is used to perform the following:

[0512] Detect the levels of biomarkers in samples containing the gut microbiota of the subjects;

[0513] The evaluation unit is used to perform the following:

[0514] The content detected by the detection unit is input into the prediction model constructed according to the construction method of the fourth aspect, and the probability of having hypertriglyceridemia is output.

[0515] A sixth aspect of the present invention provides an electronic device, the electronic device comprising one or more processors and a memory for storing executable instructions.

[0516] The one or more processors are configured to invoke executable instructions stored in the memory to implement the functions of the device for assisting in the diagnosis of hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, as described in the fifth aspect.

[0517] A seventh aspect of the present invention provides a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, implement the function of the apparatus of the fifth aspect for assisting in the diagnosis of hypertriglyceridemia and / or predicting the risk of having hypertriglyceridemia.

[0518] The eighth aspect of the present invention provides the use of biomarkers as targets in screening drugs for the treatment or prevention of hypertriglyceridemia, wherein the biomarkers are the same as those provided in the first aspect of the present invention.

[0519] The suitability of a test drug for treating or preventing hypertriglyceridemia is determined by detecting whether the levels of the biomarker can return to those of healthy subjects after administration of the test drug. The levels can be indicated by relative abundance, which can be detected by sequencing.

[0520] The ninth aspect of the present invention provides a method for diagnosing hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, comprising:

[0521] The levels of the biomarkers described were detected in samples containing the gut microbiota of the subjects.

[0522] The detected levels of the biomarkers are compared with a reference dataset or reference value;

[0523] The biomarker is the biomarker provided in the first aspect of this invention.

[0524] In some implementations, the reference dataset includes the levels of the biomarkers from samples from multiple patients with hypertriglyceridemia and multiple healthy controls. The reference dataset refers to the levels of each biomarker obtained by manipulating samples from individuals diagnosed with the disease and healthy individuals, used as a reference for the level of each biomarker.

[0525] In some embodiments, the reference value refers to a reference value or normal value for healthy controls. Those skilled in the art know that when the sample size is sufficiently large, the range of normal (absolute) values ​​for each biomarker in the sample can be obtained using detection and calculation methods known in the art. When biomarker levels are detected using assay methods, the absolute values ​​of biomarker levels in the sample can be directly compared to reference values ​​to assess disease risk and to diagnose or provide early diagnosis of hypertriglyceridemia.

[0526] In some implementations, the step of comparing the level of the detected biomarker with a reference dataset or reference value further includes executing a predictive model constructed according to the construction method of the fourth aspect to obtain the probability of having hypertriglyceridemia.

[0527] The beneficial effects of this application will be explained in more detail below with reference to specific embodiments.

[0528] Example 1

[0529] 1.1 Subject Recruitment

[0530] This study recruits adults aged 18 and above from within China who are capable of signing informed consent and are willing to participate. Serum triglyceride levels will be measured using a lipid profile assay. Participants with levels above 2.3 mmol / L will be included in the hypertriglyceridemia group, while those with levels within the normal range (1.7 mmol / L) will be included in the non-hypertriglyceridemia group (i.e., the healthy group). Participants with at least one of the following conditions will be excluded at enrollment:

[0531] 1. Recent (within the past 3 months) antibiotic treatment

[0532] 2. You have recently (within the past 3 months) received medication that affects high triglyceride levels (such as lipid-lowering drugs).

[0533] 3. Presence of intestinal diseases (such as inflammatory bowel disease, irritable bowel syndrome, etc.) or other diseases that affect the gut microbiota.

[0534] In addition, all participants underwent standardized questionnaires to collect relevant information on their lifestyle, dietary habits, and medical history in order to control for potential confounding factors and ensure the certainty and reliability of the research results.

[0535] 1.2 Sample Collection

[0536] Following the method described in the literature "A metagenome-wide association study of gut microbiota in type 2 diabetes" (Qin J et al. Nature. 2012, 490, 55-60), fecal samples were collected, transported frozen, and rapidly transferred to -80°C for storage before DNA extraction. Fecal samples from subjects with and without hypertriglyceridemia were obtained from China. A total of 2753 samples were collected, including 2336 healthy samples and 417 samples from subjects with hypertriglyceridemia.

[0537] 1.2 Metagenomic Sequencing and Assembly

[0538] Sequencing libraries were constructed using the extracted DNA samples, and bidirectional (paired-end) metagenomic sequencing (350 bp insert, 100 bp read) was performed on the Illumina HiSeq2000 sequencing platform. The sequencing data was quality-controlled to remove adapter contamination sequences, low-quality sequences, and host genome contamination sequences, resulting in high-quality sequencing reads.

[0539] 1.3 Genome alignment and abundance calculation

[0540] The high-quality sequencing reads from "1.2 Metagenomic Sequencing and Assembly" above can be input into the software MetaPhlAn 4 (https: / / huttenhower.sph.harvard.edu / metaphlan / ) to calculate the relative abundance of species. The method described in the literature "Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4, Nature Biotechnology 41, 1633–1644 (2023)" is as follows: 1) Align the high-quality sequencing reads to the reference marker gene; 2) Count the number of inserted reads based on the alignment results; 3) Standardize the number of inserted reads to the length of the marker gene (standardize to the average gene length and round down to obtain the abundance of the corresponding species) to obtain the corresponding abundance.

[0541] 1.4 Screening for potential biomarkers for the development and progression of hypertriglyceridemia using random forest (ROC / AUC)

[0542] To further screen potential gut microbiota-based biomarkers, a training set of biomarkers was constructed from subjects with and without hypertriglyceridemia. This training set was then used as a benchmark to evaluate the biomarker levels in the samples to be tested. The training set refers to the dataset containing the levels of each biomarker in the samples from subjects with and without hypertriglyceridemia, representing a certain number of samples. The validation set is an independent dataset used to test the performance of the training set.

[0543] Specifically, the steps include the following:

[0544] From 2753 samples (417 patients with hypertriglyceridemia and 2336 healthy individuals), 320 patients with hypertriglyceridemia and 1876 healthy individuals were randomly selected as the training set, and the remaining samples were used as the validation set (97 patients with hypertriglyceridemia and 460 healthy individuals).

[0545] 1.4.1 Biomarkers obtained by screening using training set data

[0546] First, the relative abundance of species in each sample in the training set was calculated according to the method described in 1.3. Then, the relative abundance of species in the training set was balanced using the SMOTE (Synthetic Minority Over-sampling Technique) algorithm and input into a Random Forest (RF) classifier (caret6.0-94 package in R 4.3.0), with disease status as the label input for supervised learning model training. The classifier underwent 10 rounds of 5-fold cross-validation. The relative abundance of species selected by the RF model was used to calculate the risk of hypertriglyceridemia for each individual, ROC curves were plotted, and AUC was calculated as a parameter to evaluate the discriminant model's effectiveness. The combination with the fewest biomarker combinations (<30) and the best discriminant effectiveness was selected as the desired combination. The importance index (SHAP importance) of each species was output in the model; a higher importance index indicates that the species is more important for distinguishing between hypertriglyceridemia and non-hypertriglyceridemia.

[0547] The resulting RF classifier initially included 18 bacteria. The linear association between these 18 bacteria and hypertriglyceridemia, as well as their contribution to the model, are shown in Table 1 below.

[0548] Table 1. Linear association between bacteria and hypertriglyceridemia and their contribution to the model.

[0549]

[0550]

[0551] 1.4.2 Validating the selected biomarkers using validation set data

[0552] To verify the predictive efficacy of 18 bacteria as biomarkers on their own.

[0553] The specific steps for validating biomarkers are as follows:

[0554] The predictive power of biomarkers was validated using a validation set (97 patients with hypertriglyceridemia and 460 healthy individuals). A disease probability ≥0.5 predicted an individual's risk of developing hypertriglyceridemia or indicated that the individual already had hypertriglyceridemia. First, the relative abundance of each biomarker in each sample of the validation set was calculated according to the method described in 1.3. Then, a random forest model was used to validate the validation set data.

[0555] Specifically, in R version 4.3.0, the "caret 6.0-94 package" was used for random forest model classification and regression. The inputs included training set data (i.e., the relative abundance of selected biomarkers in the training samples), sample disease status (the disease status of the training samples was a vector, '1' representing hypertriglyceridemia and '0' representing healthy controls), and a validation set (the relative abundance of selected biomarkers in the subjects within the validation set). Then, the random forest function in R was used to build classification and prediction functions to predict the validation set data, and the output was the prediction result (probability of disease). The threshold was 0.5; if the probability of disease was ≥0.5, it was considered that there was a risk of hypertriglyceridemia or that the individual had hypertriglyceridemia. Some results are shown in Table 2 below.

[0556] Table 2. AUC values ​​of any single bacterium as a biomarker

[0557] biomarkers accuracy auc Veillonella rogosae 0.7820 0.8450 Bifidobacterium longum 0.8018 0.8652 Bacteroides nordii 0.7964 0.8841 Clostridium sp.AT4 0.8144 0.8690 Clostridium sp. AM22 11AC 0.7910 0.8552 Roseburia hominis 0.7964 0.8335 Haemophilus parainfluenzae 0.8162 0.8722 Bacteroides ovatus 0.7838 0.8752 Veillonella parvula 0.8144 0.8705 Bacteroides caccae 0.7820 0.8386 Streptococcus infantis 0.7964 0.8509 Ruthenibacterium lactatiformans 0.7874 0.8813

[0558] Based on the SHAP importance values, 18 biomarkers were obtained by sequentially combining them. The predictive performance of these 18 biomarkers was then validated using validation set data. The results are shown in Table 3 below.

[0559] Table 3 shows the prediction performance of biomarkers obtained by sequential stacking and combination on the training and validation sets.

[0560]

[0561]

[0562] Note: In Tables 2 and 3 through 13 of this invention, s1 is Veillonella rogosae, s2 is Clostridium sp.AT4, s3 is Bifidobacterium longum, s4 is Roseburia hominis, s5 is Bacteroides_ovatus, s6 is Clostridium sp.AM22 11AC, s7 is Bilophila wadsworthia, s8 is Bacteroides_nordii, s9 is Haemophilus_parainfluenzae, s10 is Veillonella parvula, s11 is Bacteroides_caccae, s12 is Ruthenibacterium lactatiformans, s13 is Fusobacterium mortiferum, s14 is Firmicutes_bacterium AF16 15, and s15 is Clostridiaceae bacterium Marseille. Q3526, s16 is Alistipes_sp AF17 16, s17 is Streptococcus_australis, s18 is Bacteroides_intestinalis.

[0563] Figure 1The error rate distribution of 10 five-fold cross-validations in the random forest classifier is shown. The model is trained using the relative abundance of species that meet the target criteria obtained from the training set samples processed by the MWAS pipeline. The thick black solid curve represents the average of 10 trials (the thin black curve represents the average of 10 trials). Combining Tables 1 and 2, the model trained based on SHAP importance values ​​and biomarker combinations demonstrates its effectiveness in validating the set. It is evident that the biomarkers obtained from the 18 bacteria screened in this invention, combined according to their SHAP importance values, can be used to diagnose hypertriglyceridemia. Furthermore, the biomarker composed of Veillonella rogosae, Clostridium sp. AT4, Bifidobacterium longum, Roseburia hominis, Bacteroides ovatus, Clostridium sp. AM22 11AC, Bilophila wadsworthia, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella parvula, Bacteroides caccae, and Ruthenibacterium lactatiformans (hereinafter referred to as biomarker 12) exhibits the highest predictive power AUC value of 0.9306.

[0564] Figure 2 The ROC curves and AUC of the training set consisting of patients with hypertriglyceridemia and healthy controls based on the random forest model (biomarker 12) are shown. Specificity represents the probability of correctly identifying the disease-free group, and sensitivity represents the probability of correctly identifying the disease-free group. The discriminative power for the training set samples is: AUC = 100%, 95% confidence interval CI = 100–100%. The results indicate that the microbial ensemble obtained by this model serves as a potential biomarker for distinguishing between hypertriglyceridemia and non-hypertriglyceridemia.

[0565] Figure 3 The ROC curve and AUC of the validation set consisting of patients with hypertriglyceridemia and healthy controls based on the random forest model (biomarker 12) are shown. The model's discriminant AUC is 93.1% (95% CI = 90.6%–95.0%).

[0566] Figure 4This demonstrates the specific performance of the model (Biomarker 12) on the validation set. The figure shows the confusion matrix of the random forest prediction model for high triglycerides classified on our independent validation machine. In a population of 97 individuals with high triglycerides, it predicted 81 patients, a positive predictive value of 81 / 97 = 83.51%. In a population of 460 healthy individuals, it accurately predicted 410 healthy individuals, a negative predictive value of 89.13%.

[0567] Example 2

[0568] To further illustrate that any combination of bacteria screened in this invention can be used to predict the risk of hypertriglyceridemia or to verify the presence of hypertriglyceridemia in subjects, in this embodiment, 2, 3, 4, 5, 6, 7, 8, 9, 10, or 11 of the following bacteria were randomly selected from Roseburia hominis, Bacteroides caccae, Veillonella rogosae, Bilophila wadsworthia, Clostridium sp. AM22-11AC, Bifidobacterium longum, Clostridium sp. AT4, Veillonella parvula, Haemophilus parainfluenzae, Bacteroides ovatus, Ruthenibacterium lactatatiformans, and Bacteroides nordii for predictive efficacy verification. The verification method is the same as that in 1.4.2 of Example 1.

[0569] Biomarkers were obtained by selecting any two bacteria from Roseburia hominis, Bacteroides caccae, Veillonella rogosae, Bilophilawadsworthia, Clostridium sp. AM22-11AC, Bifidobacterium longum, Clostridium sp. AT4, Veillonella parvula, Haemophilus parainfluenzae, Bacteroides ovatus, Ruthenibacterium lactatiformans, and Bacteroides nordii, resulting in a total of 66 combinations. Table 4 shows the predictive power AUC values ​​of the biomarkers, ranging from 0.8241 to 0.9046, indicating that biomarkers obtained from any two bacterial combinations can diagnose hypertriglyceridemia. Among these, 60 biomarkers had an AUC value greater than 0.85.

[0570] Table 4. AUC values ​​of biomarkers obtained from any two bacterial combinations.

[0571] serial number biomarkers accuracy auc serial number biomarkers accuracy auc 1 s1, s3 0.7946 0.8640 34 s2, s5 0.8252 0.8770 2 s1, s8 0.8000 0.8701 35 s2, s10 0.8216 0.8824 3 s1, s2 0.8288 0.8640 36 s2, s11 0.8054 0.8614 4 s1, s6 0.8054 0.8564 37 s2, s7 0.8180 0.8763 5 s1, s4 0.7802 0.8457 38 s2, s12 0.8162 0.8770 6 s1, s9 0.8054 0.8664 39 s6, s4 0.8180 0.8624 7 s1, s5 0.8162 0.8714 40 s6, s9 0.8036 0.8614 8 s1, s10 0.8126 0.8622 41 s6, s5 0.8144 0.8815 9 s1, s11 0.7856 0.8405 42 s6, s10 0.8144 0.8795 10 s1, s7 0.8000 0.8704 43 s6, s11 0.8036 0.8680 11 s1, s12 0.8108 0.8840 44 s6, s7 0.8018 0.8569 12 s3, s8 0.8072 0.8812 45 s6, s12 0.8144 0.8870 13 s3, s2 0.8072 0.8782 46 s4, s9 0.8234 0.8702 14 s3, s6 0.8018 0.8652 47 s4, s5 0.8234 0.8639 15 s3, s4 0.7964 0.8265 48 s4, s10 0.8108 0.8509 16 s3, s9 0.8216 0.8583 49 s4, s11 0.7928 0.8357 17 s3, s5 0.8036 0.8721 50 s4, s7 0.8108 0.8408 18 s3, s10 0.7982 0.8556 51 s4, s12 0.8036 0.8745 19 s3, s11 0.8054 0.8656 52 S9, S5 0.8072 0.8784 20 s3, s7 0.8234 0.8645 53 s9, s10 0.8198 0.8755 21 s3, s12 0.8126 0.8838 54 s9, s11 0.8162 0.8675 22 s8, s2 0.8054 0.8635 55 S9, S7 0.8432 0.8747 23 s8, s6 0.8108 0.8867 56 s9, s12 0.8126 0.8783 24 s8, s4 0.8252 0.8779 57 s5, s10 0.8036 0.8868 25 s8, s9 0.8216 0.8803 58 s5, s11 0.7964 0.8753 26 s8, s5 0.8216 0.8925 59 s5, s7 0.7982 0.8777 27 s8, s10 0.8198 0.8878 60 s5, s12 0.8126 0.9046 28 s8, s11 0.8090 0.8810 61 s10, s11 0.7748 0.8581 29 s8, s7 0.7928 0.8796 62 S10, S7 0.8180 0.8679 30 s8, s12 0.8126 0.8928 63 s10, s12 0.8288 0.8958 31 s2, s6 0.8126 0.8616 64 s11, s7 0.7964 0.8569 32 s2, s4 0.8072 0.8241 65 s11, s12 0.8036 0.8617 33 s2, s9 0.8252 0.8718 66 s7, s12 0.8162 0.8903

[0572] Biomarkers were obtained by selecting any three bacteria from Roseburia hominis, Bacteroides caccae, Veillonella rogosae, Bilophilawadsworthia, Clostridium sp. AM22-11AC, Bifidobacterium longum, Clostridium sp. AT4, Veillonella parvula, Haemophilus parainfluenzae, Bacteroides ovatus, Ruthenibacterium lactatiformans, and Bacteroides nordii, resulting in a total of 220 combinations. Table 5 shows the predictive power AUC values ​​of the biomarkers, ranging from 0.8320 to 0.9165, indicating that biomarkers obtained from any three bacterial combinations can diagnose hypertriglyceridemia. Among them, 202 biomarkers had an AUC value greater than 0.85.

[0573] Table 5. AUC values ​​of biomarkers obtained from any three bacterial combinations.

[0574]

[0575]

[0576]

[0577] Biomarkers were obtained by selecting any four bacteria from Roseburia hominis, Bacteroides caccae, Veillonella rogosae, Bilophilawadsworthia, Clostridium sp. AM22-11AC, Bifidobacterium longum, Clostridium sp. AT4, Veillonella parvula, Haemophilus parainfluenzae, Bacteroides ovatus, Ruthenibacterium lactatiformans, and Bacteroides nordii, resulting in a total of 495 combinations. Table 6 shows the predictive power AUC values ​​of the biomarkers, ranging from 0.8362 to 0.9172, indicating that biomarkers obtained from any four bacterial combinations can diagnose hypertriglyceridemia. Among them, 477 biomarkers had an AUC value greater than 0.85, and 23 biomarkers had an AUC value greater than 0.9.

[0578] Table 6 shows the AUC values ​​of biomarkers obtained from any four bacterial combinations.

[0579]

[0580]

[0581]

[0582]

[0583]

[0584]

[0585]

[0586] Biomarkers were obtained by randomly selecting five combinations from Roseburia hominis, Bacteroides caccae, Veillonella rogosae, Bilophilawadsworthia, Clostridium sp. AM22-11AC, Bifidobacterium longum, Clostridium sp. AT4, Veillonella parvula, Haemophilus parainfluenzae, Bacteroides ovatus, Ruthenibacterium lactatiformans, and Bacteroides nordii, totaling 792 combinations. Table 7 shows the predictive power AUC values ​​of the biomarkers, ranging from 0.8392 to 0.9157, indicating that biomarkers obtained from randomly selecting five bacterial combinations can diagnose hypertriglyceridemia. Among them, 782 biomarkers had an AUC value greater than 0.85, and 49 biomarkers had an AUC value greater than 0.9.

[0587] Table 7. AUC values ​​of biomarkers obtained from any five bacterial combinations.

[0588]

[0589]

[0590]

[0591]

[0592]

[0593]

[0594]

[0595]

[0596]

[0597]

[0598] Biomarkers were obtained by selecting any six bacteria from the following bacterial strains: *Roseburia hominis*, *Bacteroides caccae*, *Veillonella rogosae*, *Bilophilawadsworthia*, *Clostridium sp. AM22-11AC*, *Bifidobacterium longum*, *Clostridium sp. AT4*, *Veillonella parvula*, *Haemophilus parainfluenzae*, *Bacteroides ovatus*, *Ruthenibacterium lactatiformans*, and *Bacteroides nordii*. A total of 924 combinations were obtained. Table 8 shows the predictive power AUC values ​​of the biomarkers, ranging from 0.8464 to 0.9168, indicating that biomarkers obtained from any six bacterial combinations can diagnose hypertriglyceridemia. Among these, 919 biomarkers had an AUC value greater than 0.85, and 79 biomarkers had an AUC value greater than 0.9.

[0599] Table 8. AUC values ​​of biomarkers obtained from any six bacterial combinations.

[0600]

[0601]

[0602]

[0603]

[0604]

[0605]

[0606]

[0607]

[0608]

[0609]

[0610]

[0611]

[0612]

[0613]

[0614]

[0615]

[0616]

[0617]

[0618]

[0619]

[0620]

[0621]

[0622] Biomarkers were obtained by selecting any seven combinations from Roseburia hominis, Bacteroides caccae, Veillonella rogosae, Bilophilawadsworthia, Clostridium sp. AM22-11AC, Bifidobacterium longum, Clostridium sp. AT4, Veillonella parvula, Haemophilus parainfluenzae, Bacteroides ovatus, Ruthenibacterium lactatiformans, and Bacteroides nordii, totaling 792 combinations. Table 9 shows the predictive power AUC values ​​of the biomarkers, ranging from 0.8514 to 0.9168, indicating that the biomarkers obtained from randomly selecting seven bacterial combinations can diagnose hypertriglyceridemia. Among them, 99 biomarkers had an AUC value greater than 0.9.

[0623] Table 9. AUC values ​​of biomarkers obtained from any seven bacterial combinations.

[0624]

[0625]

[0626]

[0627]

[0628]

[0629]

[0630]

[0631]

[0632]

[0633]

[0634]

[0635]

[0636]

[0637]

[0638]

[0639]

[0640]

[0641]

[0642]

[0643] Biomarkers were obtained by selecting any eight combinations from Roseburia hominis, Bacteroides caccae, Veillonella rogosae, Bilophilawadsworthia, Clostridium sp. AM22-11AC, Bifidobacterium longum, Clostridium sp. AT4, Veillonella parvula, Haemophilus parainfluenzae, Bacteroides ovatus, Ruthenibacterium lactatiformans, and Bacteroides nordii, resulting in a total of 495 combinations. Table 10 shows the predictive power AUC values ​​of the biomarkers, ranging from 0.8614 to 0.9145, indicating that the biomarkers obtained from randomly selecting eight bacterial combinations can diagnose hypertriglyceridemia. Among them, 73 biomarkers had an AUC value greater than 0.9.

[0644] Table 10 shows the AUC values ​​of biomarkers obtained from any eight bacterial combinations.

[0645]

[0646]

[0647]

[0648]

[0649]

[0650]

[0651]

[0652]

[0653]

[0654]

[0655]

[0656]

[0657] Biomarkers were obtained by randomly selecting nine combinations from Roseburia hominis, Bacteroides caccae, Veillonella rogosae, Bilophilawadsworthia, Clostridium sp. AM22-11AC, Bifidobacterium longum, Clostridium sp. AT4, Veillonella parvula, Haemophilus parainfluenzae, Bacteroides ovatus, Ruthenibacterium lactatiformans, and Bacteroides nordii, resulting in a total of 220 combinations. Table 11 shows the predictive power AUC values ​​of the biomarkers, ranging from 0.8685 to 0.9128, indicating that biomarkers obtained from randomly selecting nine bacterial combinations can diagnose hypertriglyceridemia. Among them, 46 biomarkers had an AUC value greater than 0.9.

[0658] Table 11. AUC values ​​of biomarkers obtained from any nine bacterial combinations.

[0659]

[0660]

[0661]

[0662]

[0663]

[0664]

[0665] Biomarkers were obtained by randomly selecting ten combinations from Roseburia hominis, Bacteroides caccae, Veillonella rogosae, Bilophilawadsworthia, Clostridium sp. AM22-11AC, Bifidobacterium longum, Clostridium sp. AT4, Veillonella parvula, Haemophilus parainfluenzae, Bacteroides ovatus, Ruthenibacterium lactatiformans, and Bacteroides nordii, resulting in a total of 66 combinations. Table 12 shows the predictive power AUC values ​​of the biomarkers, ranging from 0.8727 to 0.9145, indicating that the biomarkers obtained from randomly selecting ten bacterial combinations can diagnose hypertriglyceridemia. Among them, 13 biomarkers had AUC values ​​greater than 0.9.

[0666] Table 12 AUC values ​​of biomarkers obtained from any ten bacterial combinations.

[0667]

[0668]

[0669]

[0670] Eleven combinations of bacteria were randomly selected from Roseburia hominis, Bacteroides caccae, Veillonella rogosae, Bilophilawadsworthia, Clostridium sp. AM22-11AC, Bifidobacterium longum, Clostridium sp. AT4, Veillonella parvula, Haemophilus parainfluenzae, Bacteroides ovatus, Ruthenibacterium lactatiformans, and Bacteroides nordii to obtain biomarkers, for a total of 12 combinations. Table 13 shows the predictive power AUC values ​​of the biomarkers, ranging from 0.8860 to 0.9067, indicating that the biomarkers obtained from the randomly selected eleven bacterial combinations can diagnose hypertriglyceridemia.

[0671] Table 13 AUC values ​​of biomarkers obtained from any eleven bacterial combinations.

[0672] serial number biomarkers accuracy auc 1 s1, s3, s8, s2, s6, s4, s9, s5, s10, s11, s7 0.8468 0.9067 2 s1, s3, s8, s2, s6, s4, s9, s5, s10, s11, s12 0.8559 0.8930 3 s1, s3, s8, s2, s6, s4, s9, s5, s10, s7, s12 0.8486 0.8889 4 s1, s3, s8, s2, s6, s4, s9, s5, s11, s7, s12 0.8613 0.8898 5 s1, s3, s8, s2, s6, s4, s9, s10, s11, s7, s12 0.8432 0.8878 6 s1, s3, s8, s2, s6, s4, s5, s10, s11, s7, s12 0.8523 0.8984 7 s1, s3, s8, s2, s6, s9, s5, s10, s11, s7, s12 0.8541 0.9019 8 s1, s3, s8, s2, s4, s9, s5, s10, s11, s7, s12 0.8577 0.8985 9 s1, s3, s8, s6, s4, s9, s5, s10, s11, s7, s12 0.8559 0.8996 10 s1,s3,s2,s6,s4,s9,s5,s10,s11,s7,s12 0.8595 0.8987 11 s1,s8,s2,s6,s4,s9,s5,s10,s11,s7,s12 0.8649 0.8922 12 s3,s8,s2,s6,s4,s9,s5,s10,s11,s7,s12 0.8505 0.8949

[0673] The results in Examples 1 and 2 show that the biomarkers disclosed in this invention have high accuracy and specificity, and have good prospects for development into diagnostic methods, thereby providing a basis for risk assessment, diagnosis, early diagnosis of hypertriglyceridemia, and the search for potential drug targets.

[0674] The above embodiments are preferred embodiments of the present invention, but the embodiments of the present invention are not limited to the above embodiments. Any changes, modifications, substitutions, combinations, or simplifications made without departing from the spirit and principle of the present invention shall be considered equivalent substitutions and shall be included within the protection scope of the present invention.

Claims

1. A biomarker, wherein the biomarker comprises at least one of A, wherein A is: Veillonella rogosae, Clostridium sp. AT4, Bifidobacterium longum, Roseburia hominis, Bacteroides ovatus, Clostridium sp. AM22-11AC, Bilophila wadsworthia, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella parvula, Bacteroides caccae, Ruthenibacterium lactatiformans, Fusobacterium mortiferum, Firmicutes AF16-15. Bacterium bacterium AF16-15), Clostridium Marseille-Q3526, Alistipes sp. AF17-16, Streptococcus australis, and Bacteroides intestinalis.

2. The biomarker according to claim 1, characterized in that, The biomarkers include any 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 or 18 of A; Preferably, the biomarker is selected from any one of (A) to (OG): (A) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella spp. and Russian lactobacillus; (B) Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (C) Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovale, Villous cocci and Russian lactobacillus; (D) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus; (E) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacteroides warfarinii and Russian lactobacillus. (F) Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus. (G) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella. (H) Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus. (I) Veillonella roximately, Bacteroides nordini, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (J) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (K) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus. (L) Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella spp., Bacteroides fecalith, Bacteroides vortex, and Bacteroides vortex and Bacteroides lactis. (M) Bacteroides ovale and Russian lactobacillus; (N) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus; (O) Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (P) Veillonella roximatei, Bacteroides nordini, and Russian lactobacillus; (Q) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovale, Veillonella microphylla, Bacteroides vortex, and Bacteroides vortex and Bacteroides lactis. (R) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (S) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus. (T) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides fecalith, and Russian lactobacillus. (U) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides vortex and Russian lactobacillus; (V) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus. (W) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus; (X) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides warwickii and Russian lactobacillus. (Y) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (Z) Bifidobacterium longum, Bacteroides nordini, and Russian lactobacillus; (AA) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Veillonella spp. and Russian lactobacillus; (AB) Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovale, Villous cocci, Bacteroides warwickii and Russian lactobacillus; (AC) Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus. (AD) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus. (AE) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (AF) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyrates humanis, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus. (AG) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus. (AH) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus. (AI) Bifidobacterium longum, Veillonella spp. and Russian lactobacillus; (AJ) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Villeron's cocci, Bacteroides fecalith, Bacteroides warfarinii and Bacteroides rubella-proliferator ... (AK) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Veillonella septum and Russian lactobacillus; (AL) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vortex and Russian lactobacillus. (AM) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides warwickii and Russian lactobacillus; (AN) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides warfarinii, and Russian lactobacillus. (AO) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (AP) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella septum, Bacillus vortex, and Russian lactobacillus. (AQ) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (AR) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus. (AS) Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Russian lactobacillus. (AT) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella spp., Bacteroides vortex and Russian lactobacillus; (AU) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus. (AV) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus. (AW) Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovale, Veillonella microphylla, Bacillus vortex, and Lactobacillus rusonicus. (AX) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus; (AY) Veillonella roximatei, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis and Russian lactobacillus; (AZ) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella spp., Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus. (BA) Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides warwickii and Russian lactobacillus; (BB) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus; (BC) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus. (BD) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vortex, and Bacteroides niger. (BE) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Veillonella microphylla, Bacillus vortex and Russian lactobacillus. (BF) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bileophilus warwickii and Russian lactobacillus. (BG) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacteroides vortex and Bacteroides rubella. (BH) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (BI) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovale, Veillonella microphylla, Bacteroides warwickii and Russian lactobacillus; (BJ) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus. (BK) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides warwickii and Russian lactobacillus; (BL) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith and Russian lactobacillus; (BM) Bifidobacterium longum, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (BN) Veillonella roximately, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacillus vortex and Russian lactobacillus. (BO) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vulgaris and Lactobacillus rusonicus. (BP) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus. (BQ) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus. (BR) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis and Russian lactobacillus; (BS) Bacteroides nordii, Clostridium AM22-11AC, Bacteroides warwickii and Russian lactobacillus; (BT) Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus; (BU) Bacteroides ovalis, Veillonella spp. and Russian lactobacillus; (BV) Bacteroides ovale, Bacteroides warwickii and Russian lactobacillus; (BW) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus. (BX) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus. (BY) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex and Russian lactobacillus. (BZ) Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Bacteroides niger; (CA) Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis and Russian lactobacillus; (CB) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacteroides warfarinii and Russian lactobacillus; (CC) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides foetida and Russian lactobacillus; (CD) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides foetida and Russian lactobacillus; (CE) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, Bacillus vortex, and Russian lactobacillus. (CF) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Bacteroides lactis; (CG) Veillonella roximatei, Bacteroides nordini, Clostridium AT4 and Russian lactobacillus; (CH) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella spp. and Russian lactobacillus; (CI) Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovale and Russian lactobacillus; (CJ) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis and Russian lactobacillus; (CK) Veillonella roximately, Bifidobacterium longum, Bacteroides nigrostriatum, Clostridium AM22-11AC, Rosbyella humanis, Bacillus vortex and Russian lactobacillus; (CL) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vulgaris, and Lactobacillus rusonicus. (CM) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus. (CN) Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides warwickii and Bacteroides niger; (CO) Veillonella roximately, Bacteroides nordii, Bacillus vortex, and Russian lactobacillus; (CP) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vulgaris, and Bacteroides rubella-producing. (CQ) Bacteroides niger, Clostridium AM22-11AC, Vibrio vulnificus, Bacteroides vortex and Russian lactobacillus; (CR) Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus; (CS) Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus. (CT) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Bacteroides ovalis and Veillonella septum; (CU) Bifidobacterium longum, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus. (CV) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides warwickii and Russian lactobacillus; (CW) Veillonella roximatei, Clostridium AT4, Bacteroides ovalis and Russian lactobacillus; (CX) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacillus vortex and Russian lactobacillus. (CY) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides warfarinii and Russian lactobacillus. (CZ) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella spp., Bacteroides foetida, and Russian lactobacillus. (DA) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Bacteroides fecalith, Bacteroides vortex and Russian lactobacillus; (DB) Veillonella roximately, Bacteroides nordini, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacillus vortex and Russian lactobacillus; (DC) Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus; (DD) Clostridium AM22-11AC, Bacteroides ovalis and Russian lactobacillus; (DE) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus; (DF) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides warfarinii and Russian lactobacillus. (DG) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella septum, Bacillus vortex, and Russian lactobacillus. (DH) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bileophilus vortex and Russian lactobacillus. (DI) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacillus vortex and Russian lactobacillus; (DJ) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (DK) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (DL) Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus. (DM) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides fecalith, and Russian lactobacillus. (DN) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacteroides warfarinii and Russian lactobacillus; (DO) Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis, Villeron cocci, Bacteroides fecalith and Russian lactobacillus; (DP) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (DQ) Veillonella roximatei, Bacteroides nordini, Clostridium AM22-11AC, Bacteroides ovalis and Russian lactobacillus; (DR) Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella spp. and Russian lactobacillus; (DS) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacillus vortex, and Bacillus vortex. (DT) Bifidobacterium longum, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (DU) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella spp., Bacteroides foetida, Bacteroides warfarinii and Russian lactobacillus. (DV) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vortex, and Bacteroides var. vortex and Bacteroides lactis. (DW) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella septum and Russian lactobacillus; (DX) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC and Russian lactobacillus; (DY) Veillonella roximately, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus; (DZ) Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (EA) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis and Russian lactobacillus; (EB) Bifidobacterium longum, Bacteroides nordini, Veillonella microphylla and Russian lactobacillus; (EC) Bifidobacterium longum, Bacteroides nordini, Bacillus vortex, and Russian lactobacillus; (ED) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus. (EE) Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella spp., Bileophilus warwickii, and Russian lactobacillus. (EF) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacillus vortex and Russian lactobacillus. (EG) Veillonella roximately, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella septum, Bacillus vortex, and Russian lactobacillus. (EH) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (EI) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides fecalith, Bacteroides vortex and Russian lactobacillus. (EJ) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacillus vortex and Russian lactobacillus. (EK) Bifidobacterium longum, Clostridium AT4, Veillonella spp. and Russian lactobacillus; (EL) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus. (EM) Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides foetida and Russian lactobacillus; (EN) Veillonella rojoneri, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella septum, Bacteroides fecalith, and Russian lactobacillus; (EO) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (EP) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (EQ) Veillonella roximately, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (ER) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vulgaris, and Lactobacillus wrasseiformis. (ES) Veillonella rojoneum, Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovale and Russian lactobacillus; (ET) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides vortex, and Bacteroides niger. (EU) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella spp., Bileophilus warwickii and Russian lactobacillus. (EV) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Veillonella spp. and Russian lactobacillus. (EW) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus. (EX) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacillus vortex, and Russian lactobacillus. (EY) Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacillus vortex and Russian lactobacillus. (EZ) Bacteroides niger, Clostridium AM22-11AC, Veillonella spp. and Russian lactobacillus; (FA) Veillonella roximately, Bacteroides nordini, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacillus cholerae and Russian lactobacillus; (FB) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacteroides vulgaris, and Russian lactobacillus. (FC) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus. (FD) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Veillonella microphylla and Russian lactobacillus. (FE) Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, Bacillus vortex, and Bacillus vortex and Russian lactobacillus. (FF) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vulgaris, and Bacteroides rubella-producing. (FG) Veillonella roximately, Bacteroides nordini, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus; (FH) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Bacteroides rubella-proliferator ... (FI) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Veillonella septum, Bacteroides fecalith, and Russian lactobacillus. (FJ) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovale, Bacteroides warwickii and Russian lactobacillus; (FK) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (FL) Veillonella roximately, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacillus vortex, and Russian lactobacillus; (FM) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus. (FN) Bifidobacterium longum, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (FO) Veillonella roximatei, Bacteroides nordii, Clostridium AM22-11AC, Veillonella septum and Russian lactobacillus; (FP) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (FQ) Veillonella roximately, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacillus vortex, and Russian lactobacillus; (FR) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella spp. and Bacteroides fecalith; (FS) Veillonella roximately, Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Bacillus vorinae and Russian lactobacillus; (FT) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Veillonella microphylla, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus. (FU) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Bacteroides rubella-producing; (FV) Bifidobacterium longum, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (FW) Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus; (FX) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacillus vortex, and Russian lactobacillus; (FY) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Haemophilus parainfluenzae and Russian lactobacillus; (FZ) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (GA) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella-proliferator ... (GB) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides fecalith, and Russian lactobacillus. (GC) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus. (GD) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Veillonella microphylla and Russian lactobacillus; (GE) Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovale, Villeron cocci, Bacteroides fecalith, Bacteroides warwickii and Bacteroides niger. (GF) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella microphylla, Bacillus vortex, and Russian lactobacillus. (GG) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (GH) Veillonella rojoneum, Bacteroides nordii, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (GI) Bacteroides nigrostriatus, Rosbyella humanis, Haemophilus parainfluenzae, and Russian lactobacillus; (GJ) Bacteroides niger, Haemophilus parainfluenzae, Veillonella spp. and Russian lactobacillus; (GK) Bacteroides niger, Bacteroides ovalis, Bacteroides velutipes, and Bacteroides niger; (GL) Bacteroides nigrostriatus, Bacteroides ovatus, Bacteroides warwickii, and Bacteroides rubella lactis; (GM) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus. (GN) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella. (GO) Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Russian lactobacillus; (GP) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella-proliferator ... (GQ) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis and Russian lactobacillus; (GR) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides warfarinii and Russian lactobacillus. (GS) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warwickii and Bacteroides lactis; (GT) Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus; (GU) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus; (GV) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vulgaris, and Bacteroides rubella-producing. (GW) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides warwickii and Russian lactobacillus; (GX) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Bacteroides vortex. (GY) Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warwickii and Lactobacillus rubella. (GZ) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Clostridium AM22-11AC, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus. (HA) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacillus vortex and Russian lactobacillus. (HB) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus. (HC) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacillus vortex, and Russian lactobacillus. (HD) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Russian lactobacillus. (HE) Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (HF) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacteroides warfarinii and Russian lactobacillus. (HG) Bacteroides niger, Clostridium AM22-11AC, Villeron's cocci, Bacteroides fecalith and Russian lactobacillus; (HH) Clostridium AT4, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (HI) Clostridium AT4, Villous cocci, Bacillus vorinae, and Russian lactobacillus; (HJ) Bacteroides niger, Clostridium AM22-11AC, Rosbyrates humanis, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (HK) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Bacteroides fecalith; (HL) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Bacteroides ovalis and Bacteroides fecalith; (HM) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus; (HN) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus. (HO) Veillonella rojoneum, Clostridium AM22-11AC, Bacteroides ovalis and Russian lactobacillus; (HP) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Veillonella microphylla, Bacteroides foetida and Russian lactobacillus; (HQ) Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (HR) Bifidobacterium longum, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (HS) Bacteroides niger, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (HT) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Bacteroides fecalith. (HU) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (HV) Veillonella roximately, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus. (HW) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus; (HX) Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (HY) Veillonella roximately, Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC and Russian lactobacillus; (HZ) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae and Russian lactobacillus; (IA) Bifidobacterium longum, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides warwickii and Russian lactobacillus; (IB) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (IC) Bacteroides niger, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (ID) Veillonella rojoneum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides foetida and Russian lactobacillus; (IE) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella septum and Russian lactobacillus. (IF) Veillonella roximatei, Clostridium AM22-11AC, Rosbyella humanis, Bacteroides ovalis and Russian lactobacillus; (IG) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Rosbyrates humanis, Veillonella microphylla and Russian lactobacillus; (IH) Clostridium AM22-11AC, Rosbyrates humanis, Bacteroides ovalis and Russian lactobacillus; (II) Veillonella roximately, Bacteroides nordini, Clostridium AM22-11AC, Bacteroides ovalis, Bacteroides vortex and Bacteroides rubella-producing; (IJ) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus; (IK) Veillonella roximatei, Bacteroides nordini, Clostridium AM22-11AC, Haemophilus parainfluenzae and Russian lactobacillus; (IL) Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (IM) Bifidobacterium longum, Bacteroides nordii, Clostridium AM22-11AC, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella spp. and Bacteroides fecalith; (IN) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (IO) Veillonella roximately, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus; (IP) Bifidobacterium longum, Bacteroides nordini, Clostridium AM22-11AC, Rosbyrates humanis, Haemophilus parainfluenzae, Veillonella spp. and Bacteroides fecalith; (IQ) Veillonella roximately, Bifidobacterium longum, Clostridium AM22-11AC, Bacteroides ovalis, Veillonella microphylla, Bacillus vorinae, and Russian lactobacillus. (IR) Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella spp. and Russian lactobacillus; (IS) Bacteroides ovalis, Vibrio vulnificus, Bacteroides warwickii and Russian lactobacillus; (IT) Veillonella roximately, Bifidobacterium longum, Bacteroides nordini, Clostridium AT4 and Russian lactobacillus; (IU) Veillonella roximately, Bifidobacterium longum, Bacteroides nordini, Bacteroides ovalis and Russian lactobacillus; (IV) Veillonella roximately, Bifidobacterium longum, Bacteroides nordini, Bacillus vorinae, and Russian lactobacillus; (IW) Veillonella roximatei, Bifidobacterium longum, Clostridium AT4, Bacteroides ovalis and Russian lactobacillus; (IX) Veillonella roximately, Bifidobacterium longum, Clostridium AT4, Bacillus vortex and Russian lactobacillus; (IY) Veillonella roximatei, Bacteroides nordini, Clostridium AT4, Bacteroides ovalis and Russian lactobacillus; (IZ) Veillonella roximately, Bacteroides nordini, Clostridium AT4, Bacillus vortex and Russian lactobacillus; (JA) Veillonella roximately, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus; (JB) Veillonella roximatei, Bacteroides nordii, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (JC) Veillonella roximatei, Bacteroides nordii, Bacteroides ovalis, Bacteroides warfarinii, and Russian lactobacillus; (JD) Veillonella roximately, Bacteroides nordii, Veillonella microphylla, Bacillus vorinae, and Russian lactobacillus; (JE) Veillonella roximatei, Clostridium AT4, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (JF) Veillonella roximately, Clostridium AT4, Bacteroides ovalis, Bacteroides warfarinii, and Russian lactobacillus; (JG) Bifidobacterium longum, Bacteroides nordini, Clostridium AT4, Veillonella microphylla and Russian lactobacillus; (JH) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Bacteroides ovalis and Russian lactobacillus; (JI) Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides fecalith, and Russian lactobacillus; (JJ) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (JK) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (JL) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Bacteroides warfarinii, and Russian lactobacillus; (JM) Bifidobacterium longum, Bacteroides nordii, Veillonella spp., Bileophilus vortex and Russian lactobacillus; (JN) Bacteroides niger, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus; (JO) Bacteroides niger, Rosbyrys human, Bacteroides ovalis, Bacteroides warwickii and Russian lactobacillus; (JP) Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (JQ) Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (JR) Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides warwickii, and Russian lactobacillus; (JS) Bacteroides nigrostriatum, Bacteroides ovatus, Villous cocci, Bacteroides warwickii and Russian lactobacillus; (JT) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Bacteroides ovalis and Russian lactobacillus; (JU) Veillonella roximatei, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Veillonella septum and Russian lactobacillus; (JV) Veillonella roximately, Bifidobacterium longum, Bacteroides nordini, Clostridium AT4, Bacillus vortex and Russian lactobacillus; (JW) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Rosbyella humanis, Bacteroides ovalis and Russian lactobacillus; (JX) Veillonella roximatei, Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacillus vortex and Russian lactobacillus; (JY) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (JZ) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Bacteroides vortex, and Russian lactobacillus; (KA) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Veillonella microphylla, Bileophilus vortex and Russian lactobacillus; (KB) Veillonella roximately, Bifidobacterium longum, Clostridium AT4, Bacteroides ovalis, Bacillus vorinae, and Russian lactobacillus; (KC) Veillonella roximatei, Bacteroides nordii, Clostridium AT4, Bacteroides ovalis, Bacteroides vortex, and Russian lactobacillus; (KD) Veillonella roximately, Bacteroides nordii, Clostridium AT4, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus; (KE) Veillonella roximatei, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus; (KF) Veillonella roximately, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella septum, Bacillus vortex, and Russian lactobacillus; (KG) Veillonella roximatei, Bacteroides nordii, Bacteroides ovalis, Veillonella microphylla, Bacteroides warfarinii and Russian lactobacillus; (KH) Veillonella roximately, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides warfarinii and Russian lactobacillus; (KI) Veillonella roximately, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides fecalith, Bacteroides vortex and Russian lactobacillus; (KJ) Veillonella roximatei, Clostridium AT4, Bacteroides ovalis, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus; (KK) Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Bacteroides ovale, Veillonella microphylla and Russian lactobacillus; (KL) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Bacteroides ovalis, Bacteroides warfarinii and Russian lactobacillus; (KM) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Vibrio vulnificus, Bacillus vorinae, and Russian lactobacillus; (KN) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, and Russian lactobacillus; (KO) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Veillonella microphylla, Bacillus vorinae, and Russian lactobacillus; (KP) Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (KQ) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus; (KR) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Veillonella microphylla, Bacteroides warwickii and Russian lactobacillus; (KS) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warwickii and Bacteroides lactis; (KT) Bifidobacterium longum, Clostridium AT4, Bacteroides ovalis, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus; (KU) Bacteroides niger, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (KV) Bacteroides niger, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (KW) Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus; (KX) Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovale, Veillonella microphylla, Bacteroides vortex, and Russian lactobacillus; (KY) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Bacteroides ovalis, Veillonella microphylla, and Russian lactobacillus. (KZ) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (LA) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Bacteroides ovale, Bacteroides vortex, and Russian lactobacillus; (LB) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus; (LC) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus; (LD) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Bacteroides fecalith, Bacteroides vortex and Lactobacillus russini; (LE) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis and Russian lactobacillus; (LF) Veillonella roximately, Bifidobacterium longum, Bacteroides nordini, Rosbyella humanis, Haemophilus parainfluenzae, Bacillus vortex, and Russian lactobacillus; (LG) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus; (LH) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides vortex, and Bacteroides niger and Lactobacillus russini; (LI) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella septum, Bacillus vortex, and Russian lactobacillus; (LJ) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus; (LK) Veillonella roximately, Bifidobacterium longum, Bacteroides nigrostriatum, Bacteroides ovalis, Veillonella microphylla, Bacillus vorinae, and Russian lactobacillus; (LL) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vulgaris, and Bacteroides rubella-producing; (LM) Veillonella roximately, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus; (LN) Veillonella roximately, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (LO) Veillonella roximately, Bacteroides nordii, Clostridium AT4, Bacteroides ovalis, Veillonella microphylla, Bacteroides warfarinii and Russian lactobacillus; (LP) Veillonella roximately, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus; (LQ) Veillonella roximately, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (LR) Veillonella roximately, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides vortex, and Bacteroides rubella-producing; (LS) Veillonella roximately, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella-proliferator ... (LT) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (LU) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Veillonella microphylla, Bacillus vortex, and Russian lactobacillus; (LV) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus; (LW) Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Bacteroides ovale, Veillonella microphylla, Bacillus vorinae and Russian lactobacillus; (LX) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla and Russian lactobacillus; (LY) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (LZ) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus; (MA) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Russian lactobacillus. (MB) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus; (MC) Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus; (MD) Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella spp., Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus; (ME) Bifidobacterium longum, Bacteroides nordii, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus; (MF) Bifidobacterium longum, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus; (MG) Bacteroides niger, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus; (MH) Bacteroides niger, Rosbyrys human, Haemophilus parainfluenzae, Bacteroides ovale, Veillonella microphylla, Bacteroides vortex, and Bacteroides vortex and Bacteroides niger. (MI) Bacteroides niger, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus; (MJ) Bacteroides niger, Rosbyrys human, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vortex, and Bacteroides niger. (MK) Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vortex, and Bacteroides niger. (ML) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus; (MM) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus. (MN) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides vortex, and Bacteroides niger and Russian lactobacillus. (MO) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Haemophilus parainfluenzae, Veillonella septum, Bacillus vortex, and Russian lactobacillus. (MP) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Bacteroides ovalis, Veillonella microphylla, Bileophilus warwickii and Russian lactobacillus; (MQ) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella-proliferator ... (MR) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Veillonella microphylla, Bacteroides fecalith, Bacillus vorinae, and Lactobacillus rusonicus. (MS) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum and Russian lactobacillus; (MT) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, and Russian lactobacillus; (MU) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides vortex, and Bacteroides vortex and Russian lactobacillus; (MV) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bileophilus vortex and Russian lactobacillus; (MW) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (MX) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacteroides rubella-proliferator ... (MY) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vortex, and Bacteroides vortex. (MZ) Veillonella roximately, Bifidobacterium longum, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus; (NA) Veillonella roximately, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus; (NB) Veillonella roximately, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides vortex, and Bacteroides vortexi and Bacteroides rubella. (NC) Veillonella roximately, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides vortex, and Bacteroides vortexi and Bacteroides lactis; (ND) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Lactobacillus rusonicus. (NE) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, Bacillus vortex and Russian lactobacillus; (NF) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacillus vortex and Russian lactobacillus. (NG) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides warfarinii and Russian lactobacillus; (NH) Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus; (NI) Bifidobacterium longum, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides warwickii and Russian lactobacillus. (NJ) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Clostridium AT4, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bileophilus vortex and Russian lactobacillus. (NK) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides fecalith, and Bacillus vortex. (NL) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella-proliferator ... (NM) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacillus vorinae, and Russian lactobacillus. (NN) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, and Russian lactobacillus. (NO) Veillonella roximately, Bifidobacterium longum, Bacteroides niger, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacillus vortex, and Bacillus vortex and Russian lactobacillus. (NP) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Bacteroides fecalith, Bacteroides vortex, and Bacteroides vortex. (NQ) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, Bacillus vortex, and Bacteroides rubella-proliferator ... (NR) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella-proliferator ... (NS) Veillonella roximately, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella septum, Bacteroides fecalith, Bacteroides vortex, and Bacteroides rubella-proliferator ... (NT) Veillonella roximately, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vulgaris, and Bacteroides rubella-producing; (NU) Bifidobacterium longum, Bacteroides nordii, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vortex, and Bacteroides vortex and Bacteroides lactis. (NV) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalithae, and Russian lactobacillus. (NW) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Rosbyella humanis, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vulgaris, and Bacteroides rubella-producing. (NX) Veillonella roximately, Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacillus vortex, and Bacteroides rubella-proliferator ... (NY) Bifidobacterium longum, Bacteroides nordii, Clostridium AT4, Rosbyella humanis, Haemophilus parainfluenzae, Bacteroides ovalis, Veillonella microphylla, Bacteroides fecalith, Bacteroides vortex, and Bacteroides vortex and Lactobacillus russini. (NZ) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides warwickii, Bacteroides niger and Haemophilus parainfluenzae; (OA) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides warwickii, Bacteroides nordii, Haemophilus parainfluenzae, and Veillonella septum. (OB) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides vortex, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella septum and Bacteroides fecalith. (OC) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides warwickii, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, and Lactobacillus rusonicus. (OD) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides vortex, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, Lactobacillus rubella and Clostridium perfringens. (OE) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides vortexi, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, Lactobacillus lactis, Clostridium perfringens, Firmicutes AF16-15 and Clostridium Marseille-Q3526; (OF) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides warwickii, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, Lactobacillus lactis, Clostridium perfringens, Firmicutes AF16-15, Clostridium Marseille-Q3526 and Cladosporium AF17-16; (OG) Veillonella roximately, Clostridium AT4, Bifidobacterium longum, Rosbyella humanis, Bacteroides ovalis, Clostridium AM22-11AC, Bacteroides warwickii, Bacteroides nordii, Haemophilus parainfluenzae, Veillonella microphylla, Bacteroides fecalith, Lactobacillus lactis, Clostridium perfringens, Firmicutes AF16-15, Clostridium Marseille-Q3526, Alternaria AF17-16, and Streptococcus southernus.

3. The use of gut microbiota-based biomarkers and / or reagents for detecting biomarkers in the preparation of products for diagnosing hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, wherein the biomarkers are those described in claim 1 or 2.

4. The application according to claim 3, characterized in that, The applications include diagnosing whether a subject has hypertriglyceridemia or predicting the risk of developing hypertriglyceridemia based on the levels of the biomarkers in samples containing the subject's gut microbiota; Preferably, the reagent for detecting the biomarker includes a reagent for detecting the content of the biomarker in a sample containing the gut microbiota of the subject; Preferably, the content of the biomarker includes relative abundance; Preferably, the sample includes at least one of feces and rectal swabs.

5. The application according to claim 4, characterized in that, The relative abundance of the biomarkers was obtained using sequencing methods. Preferably, the sequencing method includes a second-generation sequencing method or a third-generation sequencing method; Preferably, the sequencing method includes metagenomic sequencing; Preferably, the sequencing method is performed using at least one device selected from Solexa synthetic sequencing devices, semiconductor chip sequencing devices, cPAS sequencing devices, 454 sequencing devices, and SOLiD sequencing devices. Preferably, the sequencing method includes: Nucleic acid samples were isolated from the samples containing the subject's gut microbiota. Based on the nucleic acid sample, a DNA library was constructed, and the DNA library was sequenced to obtain sequencing results. Based on the sequencing results, the sequencing results are compared with a reference gene set to determine the relative abundance of the biomarkers; Preferably, the reference gene set includes metagenomic sequencing of samples from multiple patients with hypertriglyceridemia and multiple healthy controls to obtain a non-redundant gene set, and then merging the non-redundant gene set with a gut microbiome gene set to obtain the reference gene set.

6. A kit for diagnosing hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, said kit containing a reagent for detecting the content of a biomarker, said biomarker being the biomarker of claim 1 or 2.

7. The reagent kit according to claim 6, characterized in that, The reagents for detecting the content of biomarkers include reagents for detecting the relative abundance of the biomarkers; Preferably, the reagent for detecting the relative abundance of the biomarker includes reagents for detecting the relative abundance of the biomarker by sequencing; Preferably, the reagents for detecting the relative abundance of the biomarker include reagents for constructing sequencing libraries; Preferably, the reagents for constructing sequencing libraries include reagents for constructing metagenomic sequencing libraries; Preferably, the reagent for detecting the relative abundance of the biomarker further includes a reagent for extracting nucleic acid samples.

8. A method for constructing a predictive model for diagnosing hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, the method comprising: Construct a training set and a test set containing subjects, and sort out the content of biomarkers in the gut microbiota of the subjects in the training set or the test set and whether they have hypertriglyceridemia, to obtain the training dataset or the test dataset respectively. The prediction model is constructed by using ensemble learning methods to train the training dataset using machine learning. The biomarker is the biomarker described in claim 1 or 2.

9. A device for assisting in the diagnosis of hypertriglyceridemia and / or predicting the risk of developing hypertriglyceridemia, the device comprising a detection unit and an evaluation unit. The detection unit is used to perform the following: Detect the levels of biomarkers in samples containing the gut microbiota of the subjects; The evaluation unit is used to perform the following: The content detected by the detection unit is input into the prediction model constructed by the construction method according to claim 8, and the probability of having hypertriglyceridemia is output.

10. The use of biomarkers as targets in screening drugs for the treatment or prevention of hypertriglyceridemia, wherein the biomarker is the biomarker described in claim 1 or 2.

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