175 results about "Metabolomics" patented technology

The invention relates to the technical field of plant breeding, and particularly discloses a metabonomics-based alfalfa stress resistance gene analysis function and a breeding method. The core of the method is that screening is carried out by combining a tissue culture technology with metabolic intervention; an alfalfa explant is inoculated into an induction culture medium containing a specific metabolic pathway regulator for metabolic intervention culture; then transferring the obtained callus to a verification culture medium containing the metabolism regulator and an abiotic adversity stress factor at the same time, and carrying out metabolism mark verification and screening; and finally regenerating the screened cell line into a complete plant. According to the method, metabolic pressure is actively applied to the cellular level, and dual verification screening is implemented, so that early-stage, efficient and accurate breeding of the stress-resistant alfalfa material is realized, and the technical problems of long period, low efficiency and insufficient utilization of metabolic information in traditional breeding are solved.

The invention discloses a pathogenic microorganism detection system based on nanopore sequencing and intelligent interpretation. The system comprises six modules including a biomolecule electric signal acquisition module and a pathogen characteristic sequence extraction module. Ion current change signals are collected through a nanopore chip array, a pathogen characteristic sequence is extracted through differential coding, a hypergraph topological structure self-adaption building module is used for building a pathogen relation model, a multi-dimensional heterogeneous pathogen parameter fusion analysis module integrates morphological parameters, metabonomics parameters and other multi-dimensional parameters, and the multi-dimensional heterogeneous pathogen parameter fusion analysis module is used for analyzing the multi-dimensional parameters. The optimized hypergraph neural network reasoning module realizes pathogen category prediction, and finally, the nanopore sequencing result intelligent interpretation output module generates a detection report containing pathogen categories, subtypes and risk levels. The system is combined with nanopore sequencing and an intelligent algorithm, pathogenic microorganism detection can be efficiently and accurately completed, the accuracy, reliability and efficiency of detection are greatly improved, and the requirement for rapid and accurate detection of pathogens in practical application is met.

The invention discloses a metabonomics-based Citrus Huanglongbing marker combination and a screening method thereof, and relates to a method for screening biomarkers of an asymptomatic Citrus Huanglongbing sample, metabolite screened by the method is adopted to further construct a prediction model, and the prediction model is used for detecting Citrus Huanglongbing in asymptomatic leaves. The biomarker of the asymptomatic sample can be screened through the method, and the method is of great significance to improvement of diagnosis accuracy.

The invention belongs to the technical field of medical diagnosis, and provides an HIV (human immunodeficiency virus) combined non-alcoholic fatty liver diagnosis and prediction marker and application. The marker comprises 39 biomarkers in total, wherein the 39 biomarkers comprise two intestinal microorganisms of enterobacter and klebsiella and 37 plasma metabolites of diacylglycerol, lysophosphatidic acid and the like; by integrating microbiome and metabonomics, the multi-dimensional marker is screened and verified, so that the problems of lack of high specificity and sensitivity, difficulty in early disease screening and incapability of effective risk assessment of an HIV (Human Immunodeficiency Virus) combined NAFLD (Non-Amplified Fragment Leukemia) early diagnosis method caused by unknown pathogenesis in the prior art are solved; the marker combination is applicable to preparation of diagnostic kits, construction of disease prediction models and development of targeted therapy drugs, and a theoretical basis is provided for early discovery, risk early warning and advanced intervention of the HIV combined with the non-alcoholic fatty liver disease.

The invention discloses a multi-layer heterogeneous network unicellular organism network inference method based on meta-path enhancement, which mainly comprises a gene regulation knowledge base enhanced multi-layer heterogeneous network construction module for integrating an external gene interaction network and multiple omics data such as scRNA-seq, scATAC-seq, ST and the like; constructing a single-cell multi-omics multilayer heterogeneous network containing cell-cell, cell-gene and gene-gene relationships, and fusing spatial constraints to consider cell positions and tissue structures; and the feature enhancement module based on the meta-path explores complex semantics of the network by designing a multi-hop meta-path mode, designs an adaptive multi-view learning framework and a multi-round enhancement mechanism, and optimizes feature representation by using cell-gene interaction and cross-modal attention fusion. The unicellular biological network can be effectively deduced, the deduction accuracy and biological interpretation are remarkably improved, the method plays an important role in understanding the cell biological process, developing and treating diseases and the like, has good expandability, and can further integrate multi-modal omics data such as proteomics and metabonomics.

This invention relates to the field of cell detection equipment technology, specifically to a detection device for bladder cancer metabolomics biomarkers. The device includes an ELISA reader, a moving stage, and well plates housed within it. It also includes a defoamer mounted on the outer wall of the ELISA reader. The defoamer comprises a fixing part, a pair of transmission parts, and a striking part and an air blowing part disposed within the fixing part. This bladder cancer metabolomics biomarker detection device, through a mechanical linkage design between the moving stage and the defoamer, uses a gear-driven toothed plate to move a dial-driven bending plate up and down, causing a striking rod to strike the well plate. Combined with synchronous airflow from the air blowing part, a protrusion pushes a piston plate within a second groove, directing airflow from the nozzle. This achieves automated removal of air bubbles from the wells before ELISA reader detection. The dual defoaming effect of striking vibration and airflow impact eliminates optical interference, ensuring the accuracy of the detection values ​​and simplifying the detection process.

The application provides a colorectal cancer prediction system and application thereof, which utilizes a metabolomics method, analyzes metabolites with significant differences in urine of colorectal cancer patients and normal people, screens a series of biomarkers capable of early indicating colorectal cancer occurrence risk, and further screens a group of biomarkers to construct a colorectal cancer diagnosis model, so that the colorectal cancer diagnosis model can be used for conveniently, non-invasively and efficiently predicting whether an individual is suffering from colorectal cancer, and meets clinical requirements.

The invention provides a pulmonary nodule targeting food and medicine homologous composition based on metabonomics screening and application thereof. By analyzing a pulmonary nodule specific metabolic profile, active components, namely platycodin D, mogroside V, oyster active peptide and fermented cordycepin, which can cooperatively regulate and control an arachidonic acid inflammation pathway, a glutathione antioxidant pathway and a tricarboxylic acid cycle energy pathway are reversely screened out. Animal experiments prove that the composition can reduce the volume of pulmonary nodules by 58.3%, human body application shows that the nodules of 76.7% of subjects are reduced, and liver and kidney toxicity is avoided. The composition can be prepared into tablets, capsules and other dosage forms, can be used as functional food or adjuvant therapy drugs for high risk groups of pulmonary nodules, and realizes accurate nutrition intervention.

The invention discloses a colorectal cancer diagnostic marker group based on expiration volatile organic compounds and application of the colorectal cancer diagnostic marker group. The colorectal cancer diagnostic marker group consists of six expiration volatile organic compounds, namely furfural, 2-methyl butane, valeric acid, methyl allyl sulfide, hexane and octanal. According to the method, expiration samples of 182 subjects are analyzed through TD-GC-MS / MS, machine learning is combined, the six expiration volatile organic compounds are screened out, the diagnosis AUC of the combination in a verification queue reaches 0.907, the accuracy rate is 0.806, and the combination is superior to a serum marker combination (AUC = 0.861). The invention further provides the BRS and a colorectal cancer noninvasive diagnosis and risk stratification system, and the BRS and the colorectal cancer noninvasive diagnosis and risk stratification system are used for achieving efficient prediction and risk stratification of the colorectal cancer. Compared with a traditional risk scoring model depending on clinical variables such as age, family history and lifestyle, the BRS provides unique metabonomics information, and the prediction accuracy is remarkably improved.

The present application relates to the field of medical diagnosis, and in particular to screening biomarkers for differential diagnosis of gestational diabetes mellitus by using metabolomics, and establishing a model for diagnosing whether a pregnant individual is diabetic based on the biomarkers. The present application provides biomarkers and a diagnostic model for differential diagnosis of gestational diabetes mellitus, which can be applied to early diagnosis or prediction of gestational diabetes mellitus, and is of great significance for prevention or treatment of gestational diabetes mellitus.

The invention relates to the technical field of medicines, and discloses a bifidobacterium longum strain GZBAI 01 and application thereof in degradation of benzoic acid and prevention or treatment of colorectal cancer. The strain is separated from faeces of healthy people, genomics identification is carried out, the metabolic profile of the strain is measured through metabonomics, the strain can convert benzoic acid with carcinogenic risk into protocatechuic acid with antitumor activity through unique metabolic capability, meanwhile, the function of regulatory T cells (Treg) in tumor drainage lymph nodes can be inhibited, differentiation of CD8 + T cells is promoted, and the tumor drainage lymph nodes can be inhibited. Therefore, the colorectal cancer is prevented through double ways of eliminating cancerogen and generating therapeutic agents. A colorectal cancer mouse model and a subcutaneous tumor mouse model verify that the strain can significantly reduce the number and volume of tumors, and shows a benzoic acid conversion effect superior to that of other strains in vivo and in vitro, and a new way is provided for prevention and treatment of colorectal cancer.

The application discloses a breath metabolomics disease knowledge graph construction method and device, and the method comprises the following steps: acquiring a disease gas data set; preprocessing the disease gas data set to obtain a disease gas pretreatment data set; processing the disease gas pretreatment data set to obtain a breath metabolomics disease knowledge graph. The application significantly improves the recognition accuracy of diseases and gas entities and their relationships, makes the correlation between breath VOCs and diseases more intuitively present, realizes efficient organization and management of data, and promotes in-depth development of breath VOCs and disease research.

This invention discloses a method for screening key neurotoxic substances in food raw materials and their products using a *C. elegans* model combined with metabolomics. Food samples are processed to prepare a stock solution, which is then used to cultivate *C. elegans*. The sample exhibiting the greatest neurotoxicity to the nematodes is identified by analyzing the number of *C. elegans* movements and neuronal fluorescence images. Subsequently, key neurotoxic substances in food are systematically screened using a combination of non-targeted liquid chromatography-tandem mass spectrometry (LC-MS / MS) and a metabolomics platform. This application establishes a novel method for screening neurotoxic substances by combining nematode activity with non-targeted LC-MS / MS determination and a non-targeted metabolic platform, clarifying key neurotoxic substances in food and providing a theoretical basis for food quality control and high-quality development.

The present application relates to the technical field of pharmaceutical analysis, and in particular to a combined analysis method for exploring the effect of Huangkui capsules on improving chronic kidney injury of tacrolimus based on metabolomics and proteomics. The combined analysis method of the present application explores how Huangkui capsules improve the mechanism of chronic kidney injury of tacrolimus from multiple dimensions, which is beneficial to in-depth analysis of the specific effects of Huangkui capsules at the molecular, cellular and tissue levels, reveals the key path and regulation mechanism of kidney protection, and can also provide a scientific basis for optimizing clinical application, further promoting the modernization of traditional Chinese medicine and its wide application in the treatment of kidney disease.

An IROA Matrix of metabolite compounds is disclosed. Each of whose compounds has a molecular weight of 2000 AMU or less, and is present as first and second isotopomers that are equally present at two predetermined isotopomeric balances, and contain 2 to 10% of a first isotope, and 90 to 98% of a second isotope, respectively. A reagent pair for transforming a natural abundance mass spectral analysis metabolite sample into an IROA sample is also disclosed and comprises two reactively identical reagents that constitute first and second isotopomers containing 2 to 10% of a first isotope, and 90 to 98% of a second isotope, respectively. Each of the reagent pair contains the same reactive group that reacts with and bonds to a functional group of one or more compounds present in a composition of biologically-produced metabolite compounds. Methods of making and using the above and related materials are also disclosed.

The present invention provides a novel integrated platform that enables the verification of manufacturing processes for complex natural products, as well as the standardization and evaluation of complex natural products. This platform allows for the "system-wide" characterization of complex mixtures contained in therapeutic and / or health-promoting products based on or composed of natural substances, without limiting the approach to reductionist chemical approaches targeting single markers. This is achieved through the integration of qualitative and quantitative fingerprint characterization data metabolomics and physical and biophysical activity data for the mixtures, thereby providing a product characterization that forms the basis for verifying manufacturing processes that can ensure the reproducibility of efficacy and safety across different batches of the product. The analytical platform described herein enables the assurance of a complex natural product as a whole, by considering all the characteristics of its quality and efficacy, through a multidimensional analytical approach, in order to ensure reproducibility regarding efficacy and safety.

This invention discloses a method for delaying leaf senescence in Paspalum notatum under salt stress. The method includes the following steps: plant material culture and salt stress treatment; H2O2 content determination; DAB staining; chlorophyll content and Fv / Fm value determination; lipidomics data determination and analysis; endogenous hormone level analysis; real-time quantitative PCR analysis of gene expression levels; and transcriptomics data analysis. This invention discovers that root-derived H2O2 in Paspalum notatum under salt-driven conditions delays leaf senescence by participating in the regulation of jasmonic acid. The role of root-derived H2O2 was studied using diphenylthioiodine (DPI), a specific inhibitor of NADPH oxidase. Furthermore, the influence of the presence or absence of root-derived H2O2 on the expression of genes related to jasmonic acid synthesis precursors was investigated at the gene expression level. Mass spectrometry-based omics technology and data analysis are the first key technologies for implementing this project. Lipidomics, as one of the most important branches of metabolomics, can perform qualitative and quantitative analysis at the level of individual lipid species.

The invention belongs to the technical field of microorganisms, and discloses an amorphophallus bulbifer southern blight infection influence analysis method based on metabonomics and microbiomics. Conjoint analysis shows that core florae (such as Streptomyces, Penicillium and Bauldia) are in significant positive correlation with phenylpropanoids and glutathione (succinic acid, coniferyl alcohol and glutamic acid), succinic acid is in positive correlation with Kribbella and Terrimonas, 2 ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', 2' ', the 3, 3 '-cycle CMP is negatively correlated with pathogen-related bacteria, which indicates that the metabolite regulates and controls the abundance of specific bacteria through positive / negative feedback so as to drive the microecological balance of rhizosphere, and a collaborative defense strategy that plants recruit beneficial microorganisms and inhibit pathogenic bacteria through metabolism reprogramming is disclosed.

This invention, based on the screening and identification of environmental exocomics and metabolomics biomarkers associated with ischemic stroke, discloses an ischemic stroke risk assessment model and model construction method that integrates environmental exocomics and metabolomics biomarkers, improving the comprehensiveness, accuracy, and convenience of prediction. This invention systematically evaluates the association between exposure to mixed organic pollutants and the risk of ischemic stroke, identifying key pollutants; quantifies the impact of pollutant mixtures on the systemic metabolic network and stroke risk, revealing the mediating role of metabolic pathway disorders in pollutant-induced stroke risk; explores the potential of incorporating pollutant exposure information into clinical prediction models to improve the efficacy of ischemic stroke risk stratification, ultimately providing systematic multi-omics evidence for the causal relationship between environmental pollution and ischemic stroke, and offering new technical tools for precision disease prevention.

Provided are methods, systems and computer program product embodiments for analyzing multi-omic data using a tensor regression model for genome-wide association studies in the life sciences. The unique structure of tensor covariates is leveraged to find associations between the omics data and complex diseases. Within this framework, the excessive dimensionality is reduced to a manageable level, leading to efficient estimations and predictions. The method is superior to using classical regression techniques in genome-wide association studies, which are challenged by analyzing multi-dimensional and uniquely structured data from the health and life sciences, in which covariates can take on more intricate forms such as multi-dimensional arrays. Embodiments have multiple uses in genomics, proteomics, metabolomics, multi-omics data integration, drug discovery, personalized medicine and predictive modeling, demonstrating the versatility and importance of tensor regression models to understand the associations between omics data and complex diseases.

The invention belongs to the technical field of biology, and discloses a biomarker for diagnosing unexplained infertility and application of the biomarker. The invention discloses application of a substance for detecting a biomarker in preparation of a product for diagnosing infertility. According to the invention, intestinal microbiome sequencing, multi-dimensional metabonomics (serum / tissue targeting-non-targeting analysis) and high-precision immune cell factor maps are integrated for the first time; the level of amino acid intestinal flora secondary metabolites (such as cinnamic acid, benzoic acid, aspartic acid, lysine, arginine, glutamine, histidine and the like) in plasma of an unexplained infertility patient is remarkably reduced, and part of the metabolites (such as cinnamic acid) have anti-inflammatory immune regulation activity. The plasma amino acid intestinal flora secondary metabolite can be used as a noninvasive biomarker for diagnosing infertility caused by unknown reasons.

The present application relates to the field of medical informatics, and provides a paliperidone efficacy prediction method and system based on plasma metabolomics. The method comprises the following steps: collecting basic data of a target patient; performing feature selection on metabolites through the basic data to obtain relevant metabolites corresponding to paliperidone efficacy; training a neural network based on the relevant metabolites and baseline data in the basic data to obtain a prediction model; and performing paliperidone efficacy prediction on a patient to be predicted through the prediction model to obtain a prediction result. The present application can predict the probability of patient response to paliperidone, thereby more accurately evaluating the efficacy of paliperidone before medication, and providing an auxiliary decision for individualized medication.

The invention discloses a method for establishing a cross-generation genetic model of rats attacking nutritional imbalance twice, and relates to the technical field of animal model establishment, and the key points of the technical scheme are as follows: starting from the angle of paternal line, selecting SD male rats of 3 weeks old, adaptively feeding for 1 week, then starving and feeding for 4 weeks, and finally feeding for 17 weeks with high fat, evaluating the phenotype of fatty liver, and establishing the cross-generation genetic model of rats attacking nutritional imbalance twice. And establishing a parent (F0) which attacks the nutritional imbalance twice. After the parent generation (F0) and the normal exposed parent generation (F0) are mated, the male offspring (F1) is given with common diet and high-fat diet respectively, then after the parent generation (F0) and the normal exposed female generation (F0) are mated, the male offspring (F2) is given with common diet and high-fat diet respectively. According to the method, the fatty liver phenotype of the male rat of the F0-F2 model can be determined, and the glucolipid metabolism pathway and function change of the parental generation and the offspring generation can be known through an isotopic tracing technology, metabonomics and transcriptomics.

To provide a method for determining odor of fish, especially odor deterioration and lipid oxidation degree of tilapia during cold storage.SOLUTION: The method includes the steps of: killing fresh tilapia, slicing, washing, mixing and grinding the fish meat to obtain raw materials; extracting lipids from the raw materials; dividing the obtained lipids and storing them under low-temperature conditions, and after storage, measuring the lipid oxidation degree and lipid metabolic data of tilapia at different refrigeration times using lipid metabolomics technology; constructing an odor-related lipid metabolic network and analyzing the lipid oxidation degree and metabolic data at different refrigeration times based on the lipid metabolic network to obtain metabolic markers corresponding to multiple lipids; screening the obtained metabolic markers to obtain evaluation metabolic markers; and analyzing the oxidation degree and metabolic status of multiple lipids based on the evaluation metabolic markers corresponding to multiple lipids.SELECTED DRAWING: Figure 1

The invention discloses a neurotransmitter mass spectrum analysis platform based on in-source light derivatization, the platform comprises a 2-nitrobenzaldehyde photoreactive reagent and an inorganic nano matrix, the reagent and a neurotransmitter are subjected to Schiff alkali condensation reaction through mass spectrum in-source laser excitation, the matrix enhances electron transfer through a photon-generated carrier, and the fluorescence intensity of the neurotransmitter is improved. The platform is suitable for detection of neurotransmitters in cerebrospinal fluid, tears and other samples, can be applied to neurotransmitter metabonomics research, and especially can be used for analyzing smog disease patient samples in different cognitive states, screening different neurotransmitters and metabolites, and detecting the neurotransmitters and the metabolites. It is found that the maximum derivatization efficiency of metabolites related to the development of the vascular cognitive impairment can reach 99.9%, the maximum detection signal is enhanced by 10%, the reaction is in the nanosecond level, the single sample dosage is 1 microliter, the detection time is smaller than or equal to 5 seconds, the variable coefficient is smaller than or equal to 6%, and support is provided for mechanism research, early diagnosis and intervention of the vascular cognitive impairment.

The invention discloses a method for treating Pu'er tea with fermentation liquor. The method comprises the following steps: naturally fermenting honey, first-spring fresh tea leaves and mountain spring water serving as raw materials according to a mass ratio of 1: 10: 3 to prepare the fermentation liquor; and adding mountain spring water accounting for 50% of the weight of the sun-withered raw tea into the sun-withered raw tea, adding 0.5% of the fermentation liquid into the mountain spring water, uniformly mixing, and carrying out pile fermentation for 55-60 days to obtain the fermented Pu'er tea. Microbiomics and metabonomics analysis verifies that a dominant flora dominant by lactic acid bacteria and bacillus is rapidly established in the early stage of fermentation, efficient conversion of polyphenols is promoted, the content of theabrownin is increased by 33% or above, and volatile aroma components are remarkably rich.

The invention discloses a fermented chicory composition with xanthine oxidase inhibitory activity as well as a preparation method and application of the fermented chicory composition. The composition is prepared by taking chicory roots as a single plant raw material and fermenting the chicory roots with a composite flora consisting of lactobacillus plantarum, lactobacillus rhamnosus, bifidobacterium adolescentis and streptococcus thermophilus in a viable count ratio of 1: 1: 1: 1. The preparation method comprises the steps of culture medium preparation, inoculated fermentation and post-treatment. Through the synergistic fermentation effect of the specific flora and the chicory substrate, the xanthine oxidase inhibitory activity of the product is remarkably enhanced. Metabonomics analysis shows that various active ingredients such as phenolic acids and prebiotic oligosaccharides are remarkably enriched after fermentation, and a dual-action mechanism of directly inhibiting enzyme activity and indirectly regulating intestinal flora is formed. The composition is safe in raw materials and definite in effect, and can be used for preparing medicines, health-care foods or dietary supplements for prevention or adjuvant treatment of hyperuricemia, gout and related diseases.

The invention belongs to the technical field of prevention and control of drug-resistant bacteria, and particularly discloses a composite bactericidal composition and application thereof in preparation of a reagent for killing aeromonas hydrophila oxytetracycline drug-resistant strains. The minimum inhibitory concentration of the epsilon-polylysine to an aeromonas hydrophila oxytetracycline drug-resistant strain is as low as 3.125 g / mL. Meanwhile, the sterilization mechanism of the epsilon-polylysine on aeromonas hydrophila oxytetracycline drug-resistant strains is discussed through metabonomics research. On the basis, the application finds that various exogenous small molecule metabolites such as 2-phenylacetamide and the like are combined with epsilon-polylysine for use, so that the absorption of drug-resistant bacteria on epsilon-polylysine can be promoted, the sterilization effect of the epsilon-polylysine is effectively enhanced, and the problem of drug resistance of bacteria is solved. Therefore, when the epsilon-polylysine and the exogenous small molecule metabolite are jointly applied, compared with the existing single antibiotic therapy, the epsilon-polylysine has higher activity and better safety and operability in preparation of the reagent for resisting the aeromonas hydrophila oxytetracycline drug-resistant strain.

The application provides a plasma exosome marker and application for early diagnosis of pancreatic cancer, utilizes a metabolomics and proteomics method, analyzes metabolites and proteins with significant differences in exosomes separated from plasma of pancreatic cancer patients, pancreatitis patients and normal persons, screens a series of biomarkers capable of early indicating a pancreatic cancer occurrence risk, and further screens a group of biomarkers to construct a pancreatic cancer diagnosis model, so that the pancreatic cancer diagnosis model can be used for conveniently and efficiently predicting whether an individual is suffering from pancreatic cancer, and meets clinical requirements.

The invention belongs to the field of medicines, and particularly discloses application of ImP (Imidazole Propionic Acid) in preparation of medicines for preventing or treating metabolic syndrome related diseases, aiming at the problems that the existing anti-obesity medicines are large in side effect, limited in curative effect and the like, and metabonomics research finds that the peripheral blood ImP level in a high-fat diet induced obesity model is remarkably reduced. A zebra fish model (250 [mu] M) and a human fat cell experiment (10-1000 [mu] M) prove that ImP significantly reduces the lipid accumulation rate by more than 40% (Plt; 0.01) of the substrate. The pharmaceutical composition can be prepared into dosage forms such as oral tablets (for example, each tablet containing 50 mg of ImP), sustained-release injections and the like, and can be theoretically combined with orlistat and other medicines for use. Compared with the traditional therapy, the invention reveals the lipid metabolism regulation function of ImP for the first time, and the ImP has the advantages of strong targeting property (IC50 = 120 mu M), high safety (LD50gt; 2000mg / kg) and the like, and a brand new microbial metabolite intervention strategy is provided for obesity and related metabolic diseases.