77 results about "Microbial biomarkers" patented technology

The invention discloses an esophageal adenocarcinoma plasma circulation microbial marker combination, a reagent, a kit, a risk prediction model and application thereof, and belongs to the cross technical field of liquid biopsy and microbiomics. The esophageal adenocarcinoma plasma circulating microbial marker combination disclosed by the invention comprises enterobacteriaceae, cilia, prevotella, ackermania, lactobacillus fermentum and streptococcus. When the esophageal adenocarcinoma plasma circulating microbial marker combination is used for verifying esophageal adenocarcinoma patients and healthy controls, the AUC is 0.952, the sensitivity is 100%, the specificity is 80.00%, the accuracy is 91.43%, the positive predictive value is 86.96%, and the negative predictive value is 100%; the esophageal adenocarcinoma plasma circulating microbial marker combination can effectively distinguish esophageal adenocarcinoma patients from healthy people, is suitable for early screening of esophageal adenocarcinoma, and has remarkable clinical screening application value.

The invention discloses an intestinal microbial marker related to non-alcoholic fatty liver, a product and application of the intestinal microbial marker, and belongs to the field of biological medicine. The microbial marker is prepared from one or more of streptococcus anginiae, bacteroides faecalis, bifidobacterium adolescentis and hispidaceae bacteria. The invention provides a kit which comprises a detection reagent for detecting the relative abundance of the microbial marker. The invention further provides a product for diagnosing the non-alcoholic fatty liver disease, a prediction system for evaluating the risk that a to-be-detected object is a patient with the non-alcoholic fatty liver disease, and a computer program product related to the non-alcoholic fatty liver disease. The product provided by the invention has good feasibility and accuracy, can effectively evaluate the risk of the non-alcoholic fatty liver disease, and provides a new tool for clinical diagnosis.

The invention discloses a methane leakage microbial marker mining method based on multi-source data fusion and related equipment, according to the embodiment of the invention, a multi-dimensional feature space is constructed by fusing microbial gene data, spatial information and environmental geochemical data, and the data dimension and reliability of marker mining are improved; moreover, according to the embodiment of the invention, a mode of combining random forest and regression modeling is adopted, so that quantitative screening of the markers is realized, and manual intervention and subjective deviation are reduced; specifically, according to the embodiment of the invention, the markers are graded on the basis of comprehensive scores of three dimensions of importance, stability and universality, so that priority selection in subsequent practical application is facilitated; the embodiment of the invention is suitable for methane leakage identification of different sea areas and different geological backgrounds, has good generalizability and practicability, and can be widely applied to the technical field of marker analysis.

The invention discloses a liver cirrhosis microbial marker as well as a screening method and application thereof, and solves the technical problems of few markers, small clinical queue scale and unknown effectiveness in predicting the future liver cirrhosis risk in the existing intestinal flora biomarker research. The method comprises the following steps: by integrating whole genome association research data (GWAS) and 16S rRNA gene sequencing data, screening out candidate microbial differential bacteria related to liver cirrhosis by adopting difference analysis; in combination with LDSC analysis and a double-sample Mendel randomization method, MR related bacteria and LDSC genetic related bacteria are screened from the aspects of causal correlation and genetic correlation; taking an intersection of the differential bacteria, the MR related bacteria and the LDSC genetic related bacteria as a marker; finally, model training is conducted through a machine learning algorithm by means of a data set with sample labels, individual liver cirrhosis risk prediction labels are output, early screening of liver cirrhosis is achieved, and the method can be widely applied to the technical field of intestinal microorganism and data mining.

The invention discloses a multi-omics-based coronary heart disease hierarchical diagnosis system and application thereof, and relates to application of personal information in a system for diagnosing whether a subject has no coronary heart disease (NCA) or suffers from the coronary heart disease, and the coronary heart disease comprises stable coronary heart disease (sCAD) and acute coronary syndrome (ACS). The multi-dimensional feature set is constructed by integrating clinical, microbial and metabolic features, potential information provided by data of different dimensions is fully utilized, and the diagnostic performance of the model is remarkably improved; through a Boruta algorithm and an SHAP framework, a series of new metabolite and microbial biomarker information is found, and the method can be used for accurately distinguishing the coronary heart disease and the stable coronary heart disease acute coronary syndrome.

The application relates to the field of biotechnology and health informatics, and particularly discloses a microorganism marker combination for detecting obstructive sleep apnea of children and application thereof. The microorganism marker combination comprises the following nine microorganism genera: g__Streptococcus, g__Solobacterium, g__Schaalia, g__Capnocytophaga, g__Stomatobaculum, g__Mogibacterium, g__Clostridia_UCG-014, g__Selenomonas and g__Pseudoleptotrichia. By detecting the relative abundance of the above microorganism genera in a saliva sample of a child, a classification model is constructed by using a random forest algorithm, non-invasive and objective screening of OSA of the child is realized, and the application has high accuracy and clinical application value.

The invention relates to the technical field of biological detection, in particular to a microbial marker for evaluating visceral obesity, application of the microbial marker, a kit, an evaluation model and a system. The microbial marker is prepared from Faecalibacteria, and the microbial marker is prepared from Faecalibacteria. According to the microbial marker for evaluating visceral obesity, and the detection reagent, the kit, the evaluation model and the system based on the marker, rapid, safe and accurate evaluation of visceral obesity can be realized.

The invention discloses a vagina microbial marker combination, which is characterized in that the vagina microbial marker combination is composed of Lactobacillus indices and Bifidobacterium dentium, and the vagina microbial marker combination is used for assisting in evaluating the premature delivery risk of a pregnant woman suffering from cervical insufficiency and subjected to transvaginal cervical cerclage. Therefore, the premature delivery can be predicted based on the vagina microbial marker combination, so that decisions and help are provided for clinicians to judge whether the pregnant woman is premature delivery or not.

The application discloses a kind of adolescent autism intestinal microorganism marker and application thereof, belong to the field of biological medicine.The microorganism marker includes one or more of Ruminococcus gnavus, Streptococcus thermophilus, Streptococcus salivarius, Butte's intestinal bacillus, pet big anaerobic clavulanic acid bacteria and Prevotella pittmanniae.The application provides a kind of product (such as kit), including detection reagent for detecting the relative abundance of the microorganism marker.The product provided by the application has good feasibility and accuracy, and can effectively evaluate whether adolescent has the risk of autism, provides a new tool for clinical diagnosis.

The invention discloses a method and a system for tracing a grain production place based on microbial fingerprints. The method comprises the following steps: collecting a grain sample and acquiring microbial fingerprint information of the grain sample; constructing a training set and a test set based on the microbial fingerprint information; inputting the training set into a random forest learning framework, performing training by taking the grain producing area as a prediction target and the microbial fingerprint data as an input variable, generating a random forest prediction model, and verifying the performance of the random forest prediction model by using the test set; based on the trained random forest prediction model, calculating the importance score of each microorganism characteristic, and screening out the microorganism characteristic with high importance as the key microorganism marker of the grain production area; using the screened key microbial marker features to train a grain origin traceability model, and verifying the performance of the model on the independent test set again; and acquiring microbial fingerprint information of to-be-detected grains, and inputting the microbial fingerprint information into the grain origin traceability model to obtain a traceability result of the grain origin of the to-be-detected grains.

The invention relates to an internal reference sequence, a primer probe composition, a kit, a method and application for quantitatively detecting a caries microbial marker of an underage child, and belongs to the fields of oral prophylactic medicine and oral public health. The method solves at least one of the problems of low sensitivity, poor specificity, poor repeatability, poor anti-interference capability, low detection speed, high cost and the like in the existing low-age child caries microbial marker detection. The invention relates to a 16S internal reference sequence for quantitatively detecting a caries microbial marker of young children. The internal reference sequence comprises an upstream primer sequence, a downstream primer sequence and a probe sequence. According to the invention, the sensitivity, the specificity, the repeatability, the anti-interference capability and the detection speed of caries microorganism detection are improved, and the cost is reduced.

The invention provides application of helispirillum as a target spot in detection and promotion of hot habit. Through systematic metagenomics analysis on excrement samples of people in a hot area and control people in a warm area, and through difference comparison and verification research, a characteristic microbial marker, namely, helispirillum, which is remarkably related to a hot habit state is identified for the first time. The method can accurately reflect the adaptive state of an individual to the thermal environment, and can be used for non-invasive evaluation or auxiliary detection of the thermal habit degree. Based on the marker, the probability that an individual is in a hot habit state or a non-habit state can be quantitatively evaluated, and a new biomarker detection method is provided for objective diagnosis of hot habit.

The application discloses a microorganism marker combination for identifying nest susceptibility of chickens and application thereof, and belongs to the technical field of poultry breeding and microbiomics. The microorganism marker combination comprises relative abundance information of at least two bacterial phyla in Bacteroidetes, Firmicutes and Verrucomicrobia in cecal contents. When at least two of the following conditions are met: the abundance of Bacteroidetes is higher than 35%, the abundance of Firmicutes is lower than 35%, and the abundance of Verrucomicrobia is lower than 2%, it is determined that the chicken has nest susceptibility or is in a nest period. Based on the marker combination, the application provides a corresponding identification method, a regulation method and a regulation agent screening strategy.

The present application relates to the technical field of microorganism and the technical field of medicine, and particularly relates to an oral microorganism marker and application thereof in diagnosis of prognosis of gastric cancer. The oral microorganism marker comprises at least one of Aggregatibacter, Filifactor, Moryella and Leptotrichia. The present application firstly discovers that the level of human oral flora changes in different prognosis outcomes of gastric cancer, and by detecting the change of the flora, the prognosis survival period of the patient with gastric cancer can be predicted. The oral microorganism marker has the advantages of high specificity and strong sensitivity in diagnosis. The present application proves the clinical correlation of the oral microorganism flora in the prognosis of gastric cancer, and provides a non-invasive and highly sensitive tool for identifying the patient at risk of poor outcome before treatment.

This application discloses a combination of gut microbial biomarkers, a system, and its application for detecting liver injury in fish, belonging to the field of molecular detection technology for fish liver injury. The gut microbial biomarker combination includes *Cetobacter* spp. (…). Cetobacterium ), Pseudomonas spp. Pseudomonas ) and Escherichia coli-Shigella spp. Escherichia‑Shigella Using the intestinal microbial biomarker combination described in this application, non-invasive diagnosis of liver damage can be achieved without touching the fish body, with high accuracy and no missed detections, especially avoiding misdiagnosis as liver damage that could lead to overtreatment. This provides a basis for judgment in aquaculture environment control and precise disease prevention and control, and is beneficial for improving the survival rate and profitability of yellow catfish farming.

The invention relates to the technical field of molecular diagnosis and early screening of tumors, and particularly discloses a plasma circulating microbial marker for early screening of lung cancer and application of the plasma circulating microbial marker. The marker comprises the following components: staphylococcus aureus, fusobacterium nucleatum, klebsiella pneumoniae, alternaria simplex, legionella pneumophila, neisseria mucosa, Ralstonia petii, pasteurella multocida, and haemophilus parainfluenza (Haemophilus parainfluenza), and the marker comprises the following components: staphylococcus aureus, fusobacterium nucleatum, klebsiella pneumoniae, alternaria simplex, legionella pneumophila, neisseria mucosa, Ralstonia petii, pasteurella multocida, and Haemophilus parainfluenza (Haemophilus parainfluenza). According to the method, nine characteristic microbial markers are detected in combination with a low Pass WGS technology, a high-precision diagnosis model is constructed through a machine learning algorithm, the established diagnosis model has excellent stability and clinical applicability, efficient recognition of early lung cancer can be achieved, and the detection cost can be greatly reduced.

The invention discloses an enteric microbial marker related to type 2 diabetes mellitus, a product and application of the enteric microbial marker, and belongs to the field of biological medicine. The microbial marker is prepared from one or more of streptococcus angularis, giant spheroides angularis, bifidobacterium longum, eubacterium choicense and bifidobacterium bifidum. The invention provides a kit which comprises a detection reagent for detecting the relative abundance of the microbial marker. The invention also provides a product for diagnosing the type 2 diabetes, a prediction system for evaluating the risk that the to-be-detected object is the type 2 diabetes patient, and a computer program product related to the type 2 diabetes. The product provided by the invention has good feasibility and accuracy, can effectively evaluate the risk of type 2 diabetes mellitus, and provides a new tool for clinical diagnosis.

The invention belongs to the technical field of kidney stone examination. The invention relates to the field of biotechnology, in particular to application of Allobacter as a microbial marker in preparation of a product for diagnosing kidney calcium oxalate calculus, and particularly relates to application of Allobacter as a microbial marker in preparation of a product for diagnosing kidney calcium oxalate calculus. According to the present invention, the research results show that the Allobacter microorganism can be adopted as the potential biomarker for the diagnosis of the kidney calcium oxalate calculus; the scheme can be used for assisting clinical diagnosis of kidney calcium oxalate calculi and screening of high-risk people, and a brand new thought and an effective means are provided for accurate prevention and control of kidney calcium oxalate calculi. The invention provides a novel and noninvasive microbial marker which is used for auxiliary diagnosis of kidney stone. The marker has good detection specificity and high sensitivity, can effectively reflect the occurrence and development conditions of calcium oxalate calculi, is expected to replace a traditional imaging examination method, realizes simple, convenient and rapid diagnosis of urinary calculi, and has good application prospects and values.

The application discloses a method for predicting immunogenic peptide segments of tumor intratumoral microorganisms and application thereof, and mainly comprises the following steps: collecting tumor tissue RNA-seq data, screening microorganism markers related to tumor immunity, and predicting immunogenic peptide segments in microorganisms. The application first proposes a method for predicting immunogenic peptide segments in tumor microorganisms based on sufficient mining of tumor RNA-seq data, so that new targets for tumor immunotherapy are provided, and the possibility of improving the survival rate and prognosis effect of tumor patients is realized.

The application discloses a microorganism marker composition of an allergic population based on enterotype typing and application thereof in preparation of a reagent or kit for identifying allergic diseases. The application also discloses a kit for identifying allergic diseases. The application further discloses a method for constructing an allergic prediction model based on enterotype typing and application thereof in construction of a system for judging allergic risks of samples. The application first proposes an allergic prediction model based on enterotype stratification, classifies samples through enterotype typing, and then predicts allergic risks of the samples by using corresponding machine learning models. The application can detect allergic risks of children by a non-invasive and non-intrusive method, and only needs feces of the children. The application provides a new technical basis for future research on allergic diseases of children and a new non-invasive and non-intrusive method for detection of allergic diseases of children.

The invention discloses a method for detecting a soil microbial marker-amino sugar by direct ion chromatography, and relates to the technical field of biomarker analysis, and the method comprises the following steps: adding a soil sample into a 6mol / L hydrochloric acid solution, and hydrolyzing at 105 DEG C for 8 hours; drying the hydrolysate with nitrogen, redissolving with ultrapure water, centrifuging, taking supernate, and filtering with a 0.22 mu m filter membrane to obtain a to-be-detected solution; the method comprises the following steps: injecting a to-be-detected solution into an ion chromatography system provided with an electrochemical detector, and carrying out gradient elution by adopting an anion exchange chromatographic column and taking a mixed solution of sodium hydroxide and sodium acetate as a mobile phase to realize separation and quantitative detection of glucosamine (GlcN), galactosamine (GalN), aminomannose (ManN) and muramic acid (Mur). A highly toxic derivatization step necessary for a traditional method is omitted, a sample can be directly injected through three-step purification after acid hydrolysis, and efficient separation of four amino sugars is realized by matching with a special ion chromatography system.

The invention belongs to the technical field of forensic medicine and biological medicine, discloses a method for forensic medicine identification of corpses in water based on metagenomics markers and application, and aims to solve the problems that existing drowning diagnosis is insufficient in accuracy and the deduction of post-death submerging time (PMSI) is limited. The method comprises the following steps: collecting a corpse lung tissue in water and a water sample in a corresponding water area, and obtaining a microbial DNA sequence by adopting a metagenome sequencing technology; the method comprises the following steps: processing data through bioinformatics analysis (such as fastp quality control, host sequence removal by KneadData and Kraken2 species annotation), and selecting and screening species level microbial markers in combination with a random forest algorithm and Boruta characteristics; and respectively establishing a drowning diagnosis model and a PMSI inference model based on the screened markers, and verifying the performance of the models through indexes such as AUC and MAE. Complete microbial communities of bacteria, eukaryotes (including fungi), archaea and viruses in lung tissues of corpses in water are comprehensively analyzed for the first time, 17 bacterial markers and 9 eukaryote markers are screened out for drowning diagnosis (verification experiment bacterial model AUC = 1, the accuracy rate is 89.29%, eukaryote model AUC = 0.95, the accuracy rate is 87.5%), and 17 markers are screened out for PMSI inference (integrated model MAE = 0.66 days). According to the method, the species resolution reaches the species level, the method is not influenced by amplification bias, the method is suitable for different water area environments, and an efficient and objective forensic medicine tool is provided for identifying the cause of the dead body in water and deducing the submerged time after the dead body.

The present subject matter relates to a method of diagnosing and treating sleep apnea in a subject. The method may include determining whether the subject needs a polysomnography by obtaining a biological sample from the subject to determine if the subject has a microRNA selected from the group consisting of miRNA-30b-5p, miRNA-30c-5p, miRNA-19b-3p, and miRNA-23b-5p. The expression of one of the microRNAs may be associated with the presence of SA in a subject. If the subject has a microRNA associated with the presence of SA, then the method includes conducting a Polysomnography on the subject to further determine if the subject has SA. If the subject is further determined to have SA, the method may then include treating the subject with a treatment of SA selected from the group consisting of ENT multilevel surgery, continuous positive airway pressure (CPAP) therapy, and bariatric surgery.

The invention belongs to the technical field of biology, and particularly relates to a microbial marker combination for evaluating the quality of polygonatum sibiricum and application, the microbial marker combination comprises one or more of Aspergillus, Cercophora, Escherichia. Shigilla, Mycoplasm, Muribacaceae, Pseudomonas, Colletotrichum and Asaia, a method and an evaluation model for evaluating the quality of polygonatum sibiricum are established by utilizing the microbial marker combination, the sensitivity is 100.0%, the specificity is 72.7%, the AUC is 89.8%, and the evaluation model is used for evaluating the quality of polygonatum sibiricum. The method has high accuracy, specificity and sensitivity, and the evaluation method is economical, practical and easy and convenient to operate and can be widely applied to quality evaluation of rhizoma polygonati.

This invention belongs to the fields of bioinformatics and medical testing technology, specifically relating to a combination of biomarkers related to the postoperative prognosis of colorectal cancer and their application and prediction system. This invention, through 16S rRNA gene sequencing of tumor mucosal samples from colorectal cancer patients, combined with long-term postoperative follow-up data and screening, found that *Peptostreptococcus*, *Fusobacterium*, *Bacteroides*, *Porphyromonas*, and *Prevotella* are closely related to postoperative recurrence of colorectal cancer, with an AUC of 0.81 for assessing postoperative recurrence. Based on this, this invention conducts non-targeted metabolomics analysis, finding that combining alanine glutamate, putrescine, arginine, histidine, and sebacic acid with the above microbial biomarkers can improve the AUC to 0.91, significantly enhancing accuracy, specificity, and precision. This enables prognostic stratification of recurrence-free survival in colorectal cancer patients, demonstrating higher predictive efficacy and stability.

The present application relates to the technical field of petroleum reservoir engineering, and proposes a groundwater oil pollution tracing method based on microbial community characteristics; including: collecting pollution well samples and groundwater samples respectively; obtaining microbial community characteristic data by sequencing the DNA of the samples; using the microbial community characteristic data as a data set to construct a tracing model; the present application analyzes the microbial community structure in the water sample and identifies specific microbial markers indicating oil pollution, can trace the source of pollution to its original oil source, the optimized model precision reaches 0.97, which is improved by 0.02 compared with before optimization, provides a reliable and efficient means for identifying and tracking oil pollution in groundwater systems, and helps to promote timely governance measures and environmental protection actions.

This invention relates to the field of biomedical detection technology, specifically to plasma circulating microbial biomarkers for early screening of gastric cancer and their applications. The plasma circulating microbial biomarkers include: *Ralstonia solanacearum*, *Staphylococcus aureus*, *Alternaria metachromatica*, *Porphyromonas gingivalis*, *Lactobacillus reuteri*, *Rhodococcus erythropolis*, *Akkermansia muciniphila*, *Lactobacillus gasseri*, *Bifidobacterium bifidum*, and *Neisseria gonorrhoeae*. This invention screens and, for the first time, combines 10 specific microbial biomarkers with Low Pass technology. WGS technology can achieve detection results at low depths, significantly reducing screening costs while ensuring detection sensitivity, and providing a brand-new solution for early gastric cancer screening.

The application discloses an adult depression intestinal microorganism marker and application thereof, and belongs to the field of biological medicine. The microorganism marker comprises one or more of the following: Clostridium aldrichii, Coprococcus comes, Klebsiella pneumoniae, Bifidobacterium adolescentis, Bacteroides vulgatus, Eubacterium eligens and Faecalibacterium prausnitzii. The application provides a product (such as a kit) comprising detection reagents for detecting the relative abundance of the microorganism marker. The product provided by the application has good feasibility and accuracy, and can effectively evaluate the risk of whether an adult has depression, thereby providing a new tool for clinical diagnosis.

The application provides a microorganism marker group, a tumor prognosis prediction model establishment method and application thereof, and relates to the technical field of biomedicine. The microorganism marker group is related to a preset total survival time. Based on the microorganism marker group obtained from tumor tissues and paracancer normal tissues, the prognosis prediction accuracy and sensitivity of a digestive tract tumor can be effectively improved.

The invention discloses a circulating microbial marker screening method, a prognostic scoring model construction method and application in cervical cancer diagnosis. The screening method comprises the following steps: downloading Voom SNM standardized cervical cancer circulating microbiome data; downloading transcriptome expression data of the cervical cancer tumor sample to obtain related clinical data; carrying out single-factor COX regression analysis on the tumor sample with the obtained blood microbiome data and survival information, calculating HR of bacterial genus, detecting P value by logrank, and screening the bacterial genus with P less than 0.05; subtype grouping of unsupervised clustering is carried out on the cervical cancer samples; based on clinical data of tumor samples and single-factor and multi-factor COX regression, screening significant prognostic bacterial genus groups for survival analysis. The peripheral blood circulation microbial marker is screened for the first time, a sample is easy to obtain, and trauma is small; and aiming at the problem of insufficient detection sensitivity in the prior art, the detection reliability is enhanced, and the false positive rate is reduced.