123 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 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 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.

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.

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 relates to the technical field of liquid chromatography / mass spectrometry analysis, and discloses a method for improving LC / MS analysis sensitivity, which is suitable for detecting trace lipid metabolites (containing isomeride) of a biological sample. The core technical scheme is as follows: a magnetic molecularly imprinted polymer-solid phase support liquid-liquid extraction secondary purification system is adopted to remove matrix impurities, a gradient mobile phase containing a composite additive is matched to optimize separation, and the detection specificity is improved by an ion mobility spectrometry-segmented selective ion monitoring combined mode; and a stable isotope internal standard is synchronously introduced to correct quantitative deviation. Experiments show that the LOD of the method is as low as 0.12-0.25 ng / mL, the matrix effect is smaller than or equal to 5%, the separation degree and the recovery rate are excellent, low-abundance metabolic marker differences can be accurately captured, and a support is provided for disease diagnosis and metabonomics research.

The invention belongs to the field of marker detection, and particularly relates to a marker for diagnosing or identifying potential causes of migraine, application, a kit, a device and an evaluation model. The invention provides a marker for diagnosing or identifying potential causes of migraine. The marker comprises indoleacrylic acid and / or hypersensitive C-reactive protein. The invention reveals that PFO is combined with migraine metabonomics maps, and branched chain amino acid metabolism, neurosteroid metabolism and tryptophan metabolism disorder are core pathological mechanisms for the first time. On the basis of plasma metabonomics characteristics of a PFO-combined migraine patient and a healthy control, 211 metabolites with significant difference are screened out, it is found that various metabolites are significantly related to the symptom severity of migraine, and two factors [indoleacrylic acid and hypersensitive C-reactive protein (hs-CRP)] significantly related to migraine related to patent foramen ovale are confirmed. In addition, the concentration of indolecrylic acid (IA) is found to have a relatively good prediction value on symptom relief after occlusion.

The invention relates to a fusion method and model based on multi-modal reannotation fragment layering and application. The invention discloses a fusion method based on multi-modal reannotation fragment layering. The fusion method comprises the following steps: S1, acquiring and preprocessing a serum Raman spectrum; s2, screening differential metabolites, analyzing secondary classification of the differential metabolites, establishing a corresponding relation between the differential metabolites and the wave number of the serum Raman spectrum, and segmenting the preprocessed serum Raman spectrum to obtain spectrum fragments; s3, performing correlation analysis on the differential metabolites and the spectrum fragments by adopting a pre-fusion method based on cross attention, selecting metabolites with high correlation, and obtaining attention heat map fusion spectrum fragments; and S4, splicing and fusing the high-correlation metabolites and the attention heat map fusion spectrum fragments by adopting a mode-fragment hierarchical fusion method, and then carrying out fusion among the spectrum fragments. According to the fusion method and model based on multi-modal reannotation fragment layering and the application, the interpretability and the information utilization rate are improved by improving fusion of Raman spectrum and metabonomics.

The application discloses a mass spectrum peak annotation method based on co-expression, co-flowing and similar secondary mass spectrum diagrams, and belongs to the technical field of mass spectrum data annotation.The application is based on the characteristics that different mass spectrum characteristics of the same substance have co-expression, co-flowing and similar secondary mass spectrum diagrams in different samples, and a set of efficient annotation method for high-resolution mass spectrum data is established by filtering the mass differences of common adducts, multimers, isotopes and in-source cleavage fragments, so that the time-consuming and labor-consuming difficulty of the structure annotation step of unknown substances in actual metabolomics and other fields due to redundant mass spectrum information can be solved.The mass spectrum data annotation method is accurate, time-saving and labor-saving, and has important significance for accurate annotation of redundant information of unknown substances in actual samples.

The application discloses a metabolic marker, a screening method and application related to gout combined with uric acid nephrolithiasis, and belongs to the technical field of biology. The application analyzes the significant differences of metabolic small molecules in the serum of asymptomatic hyperuricemia and gout combined with uric acid nephrolithiasis patients through a metabolomics method, screens metabolic markers that can be used for predicting gout combined with uric acid nephrolithiasis, and further verifies the sensitivity, specificity and accuracy of the metabolic markers. These findings not only provide markers for early diagnosis and precise treatment of gout combined with uric acid nephrolithiasis, but also provide important basis for understanding the clinical heterogeneity of hyperuricemia and the evolution mechanism thereof.

The invention relates to the technical field of biologic detection of metabolomics, in particular to an OSAHS metabolism marker, a diagnosis model and application of the OSAHS metabolism marker and the diagnosis model. The metabolic marker comprises a red blood cell metabolite and / or a plasma metabolite; erythrocyte metabolites comprise L-aspartic acid, D-ribose-5-diphosphoric acid, cadaverine, 12, 13-epoxy octadecenoic acid, L-arginine, N-acetylmethionine, 5-hydroxyeicosatetraenoic acid, 13-oxo-9Z, 9, 10-tetrahydroxy-9Z, 9, 10-tetrahydroxy-9Z, 9, 10-tetrahydroxy-9Z, 9, 10-tetrahydroxy-9Z, 9, 10-tetrahydroxy-9Z, 10-tetrahydroxy-9Z, the component A is one or more of 11E-octadecadienoic acid, inosine monophosphate, nicotinamide, alpha-lactose, sphingosine, hydroxy octadecadienoyl or glyceraldehyde-3-phosphoric acid; the plasma metabolite is prepared from one or more of fumaric acid, cadaverine, L-aspartic acid, malic acid, sphingosine-1-phosphoric acid, L-arginine, cysteine-S-sulfate, thiosulfate, gamma-glutamyl alanine, galacturonic acid or vitamin B2.

The invention discloses application of a Homer 1 gene in regulating and controlling the water-holding capacity character of a pig, and belongs to the technical field of biology. Candidate genes related to the water-holding capacity are analyzed and screened through transcriptomics; and identifying proteins and metabolic markers related to the water-holding capacity in the longissimus dorsi aging process by utilizing metabonomics and proteomics technologies. And carrying out cellular level function verification on the screened key gene Homer 1 through multi-omics integration analysis. The result shows that the Homer 1 gene is negatively correlated with the water-holding capacity, so that a theoretical basis is provided for understanding a regulation mechanism of the water-holding capacity of the pig skeletal muscle; meanwhile, candidate gene resources and theoretical support are provided for breeding of high-quality and high-efficiency new pig varieties.

The invention relates to bioinformatics and metabonomics, and discloses a human tissue lipid metabonomics multi-dimensional statistical analysis method, equipment, a medium and a product. Comprising the following steps: acquiring mass spectrometric detection original data and preprocessing to obtain a lipid quantitative data set; obtaining a first differential metabolite candidate set based on the lipid quantitative data set; determining a content change lipid set based on the significance parameters and the feature importance; performing feature selection on the content change lipid set, and screening to obtain lipid metabolite subsets meeting model performance evaluation index requirements to form a second differential metabolite set; the second differential metabolite set is subjected to correlation analysis with a metabolic pathway database and a protein-lipid interaction database, a multi-dimensional correlation analysis result containing the second differential metabolite set, metabolic pathway information and target protein information is output, and analysis from differential lipid to target protein is achieved.