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49 results about "Targeted metabolomics" patented technology
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Targeted metabo lomics analysis method for determining metabolites of living body
InactiveCN105301163AMeet the needs of analysisOvercoming repetitivenessComponent separationMaterial analysis by electric/magnetic meansQuadrupolePathway enrichment
The invention provides a targeted metabo lomics analysis method for determining metabolites of a living body. The targeted metabo lomics analysis method can simultaneously determine 700 main metabolites of a living body based on series connection of ultra-high performance liquid chromatography and triple quadrupole and comprises the following steps: firstly, 700 main metabolites in a living body are screened; standard products of compounds are optimized to obtain optimal parent ions, daughter ions and mass spectrography conditions of the metabolites; the metabolites in samples are extracted by methanol, acetonitrile and water; liquid chromatograph conditions are optimized; a hydrophilic interaction is adopted to separate the metabolites; the separated metabolites enters a mass spectrum; the 700 main metabolites are determined at the same time by use of a real-time scheduled multi-reaction monitoring mode with quick positive and negative polarity switching function; the metabolite differences between all the samples are analyzed via partial least square analysis; changes of the metabolic pathway are found by pathway enrichment analysis. The targeted metabo lomics analysis method remarkably increases the number of detected compounds, and greatly shortens the analysis time.
Owner:TIANJIN SUNNYPEAK BIOTECH CO LTD
GC-MS-based plant non-targeted metabolomics sample pretreatment method
The invention discloses a GC-MS-based plant non-targeted metabolomics sample pretreatment method. The method comprises the steps of 1) mixing up a plant sample, an internal standard substance and a hydrophilic organic solvent, wherein the hydrophilic organic solvent is pre-cooled to be -20 to 4 DEG C; cooling the obtained mixture to be -80 to -10 DEG C, grinding, crushing and conducting the supersonic extraction in the ice-water bath; 2) then respectively adding a lipophilic organic solvent and water, uniformly mixing up, conducting the supersonic extraction in the ice-water bath, conducting the high-speed centrifugation at the temperature of 0 to 16 DEG C, obtaining the aqueous phase and evaporating; 3) adding an oximation reagent, and conducting the oximation reaction at the temperature of 30 to 45 DEG C; 4) finally adding a derivatization reagent and n-hexane, and conducting the derivatization reaction at the temperature of 60 to 80 DEG C. According to the technical scheme of the invention, based on the above pretreatment method, the primary metabolites of a plant sample can be fully extracted, so that the abundant metabolite spectrum data information can be obtained. Meanwhile, both the change of metabolites during the extraction process, and the pollution of liposoluble substances to a gas chromatographic column can be avoided as much as possible. Therefore, the better sample reproducibility is realized.
Owner:上海鹿明生物科技有限公司
Metabolomics-based pancreatic cancer diagnosis marker as well as screening method and application thereof
ActiveCN110646554AHigh sensitivityWith clinical useComponent separationPancreas CancersScreening method
The invention discloses a metabolomics-based pancreatic cancer diagnosis marker and a screening method thereof. The diagnosis marker comprises any one or a combination of more of 31 plasma metabolic markers. The invention also provides a method for constructing a diagnosis model by using the pancreatic cancer diagnosis marker and an application in a diagnosis kit. According to the method, non-target metabolomics analysis is carried out on the plasma of a patient through a high-efficiency liquid chromatography mass spectrometry technology, the difference metabolite between the pancreatic cancerpatient and the normal people is found through an artificial intelligence data analysis technology, and the diagnosis capability of the specific differential metabolite, namely the pancreatic cancerdiagnosis marker in the diagnosis of the pancreatic cancer is further verified through target metabolomics analysis and machine learning modeling.
Owner:北京博远精准医疗科技有限公司
Method of identifying reconstituted milk and ultra-high temperature sterilized milk
ActiveCN110470781AImprove accuracyComprehensive resolutionComponent separationNon targetedNon target
The invention relates to a method of identifying reconstituted milk and ultra-high temperature sterilized milk. The method comprises steps: a) non target metabonomics data of milk samples of reconstituted milk and ultra-high temperature sterilized milk are collected separately by adopting high performance liquid chromatography-high resolution mass spectrometry, and the characteristic information of the two is extracted respectively; b) an analysis model is built, the characteristic information is analyzed, and differential metabolites of the reconstituted milk and the ultra-high temperature sterilized milk are determined; c) a pseudo-target metabolomics detection method to identify reconstituted milk and ultra-high temperature sterilized milk is constructed to screen the differential metabolites in the step b), and the characteristic information of the differential metabolites is obtained; and d) based on the characteristic information of the differential metabolites obtained in the step c), a PCA-Class discriminant analysis model is constructed, and based on the PCA-Class discriminant analysis model, determination of a to-be-detected milk sample is realized. The method is convenient, sensitive and accurate, and can realize rapid and automatic discrimination of ultra-high temperature sterilized milk and reconstituted milk.
Owner:INST OF QUALITY STANDARD & TESTING TECH FOR AGRO PROD OF CAAS
Method for identifying litchi varieties by using wide targeted metabonomics technology
PendingCN111721857AEasy to distinguishComponent separationMultivariate statisticalStatistical analysis
The invention discloses a method for identifying litchi varieties by using a wide targeted metabonomics technology. The method comprises the following steps: (1) obtaining a known litchi variety endogenous small molecule metabolite peak area database through litchi sample preparation, litchi sample detection and analysis, litchi sample qualitative and quantitative analysis and metabonomics data processing and analysis, screening to obtain 69 common difference significant metabolites, and generating a heatmap; and (2) obtaining the peak area of the endogenous small molecule metabolite of the unknown variety, combining the peak area with the peak area database of the known variety, carrying out multivariate statistical analysis, carrying out clustering analysis on the screened common differential metabolite, and judging the known variety which is firstly gathered with the variety to be identified as the variety to be identified or the similar variety. According to the method, the endogenous small molecule metabolites are obtained by utilizing a wide targeted metabonomics analysis technology, common difference significance metabolites of litchis are obtained through multivariate statistical analysis, and a visual map is generated and can be used for litchi variety identification.
Owner:POMOLOGY RES INST GUANGDONG ACADEMY OF AGRI SCI
Optimal ion pair selection method for quasi-targeted metabonomics analysis
ActiveCN110579555AGuaranteed accuracySimplify complexityComponent separationOriginal dataTriple quadrupole mass spectrometry
The invention discloses an optimal ion pair selection method for quasi-targeted metabonomics analysis. The method comprises the following steps: collecting metabolite information in a biological sample under different collision energy by adopting liquid chromatography-mass spectrometry and applying an information independent acquisition mode of a variable mass window; processing original data through peak identification software to obtain parent ion information; carrying out format conversion on the original data and carrying out deconvolution software processing to obtain secondary mass spectrum fragment information; selecting candidate ion pairs under different collision energies automatically based on a Matlab algorithm; and carrying out detection, false positive elimination, and integration on the candidate ion pairs by adopting a dynamic multi-reaction monitoring mode in liquid chromatography-triple quadrupole mass spectrometry to obtain an ion pair for quasi-targeted metabonomicsanalysis. The optimal ion pair selection method has advantages of large metabolite ion pair coverage, ion pair collision energy optimization, simple experimental process and data processing, low timeand labor cost and the like and has the certain prospect in future metabonomics research.
Owner:DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
Metabonomics analysis method for garlic bulb components in different growth stages
PendingCN111337614AUnderstand the law of accumulationFind out exactlyComponent separationBiotechnologyAllium sativum
The invention discloses a metabonomics analysis method for garlic bulb components in different growth stages, and relates to the technical field of detection and analysis. The metabonomics analysis method for the garlic bulb components in different growth stages comprises the following steps of: performing chemical component non-targeted metabonomics analysis on garlic bulb samples in different growth stages, processing acquired data to screen out differential metabolites, identifying and confirming the obtained differential metabolites, and analyzing change rules of the differential metabolites in different growth stages. Differential metabolites in garlic bulbs in different growth periods can be quickly and accurately found out, the accumulation rule of the metabolites in the bulbs can be known, and moreover, the garlic bulbs in different growth periods can be selected according to different consumption, processing and other requirements, so that a basis is provided for reasonable consumption and timely harvesting of garlic.
Owner:INST OF QUALITY STANDARD & TESTING TECH FOR AGRO PROD OF CAAS
Targeted metabolomics quantitative automatic analysis method, apparatus and electronic device
InactiveCN109781916AFast batch processingEasy to operateComponent separationUser identifierPeak area
The present invention relates to a targeted metabolomics quantitative automatic analysis method, a targeted metabolomics quantitative automatic analysis apparatus and an electronic device. The methodincludes the following steps that: the sample data of at least one sample to be tested are automatically acquired, wherein the sample data include a user identifier corresponding to the sample to be tested, the identifier of a marker to be tested, and first information, wherein the first information is used to determine the peak area value of the marker to be tested; and a standard curve corresponding to the marker to be tested in the sample to be tested is automatically acquired, wherein the standard curve includes a corresponding relationship between the concentration of the marker in the sample to be tested and the peak area value of the marker; and the concentration of the marker to be tested in each sample to be tested is determined based on the standard curve and the first information. With the targeted metabolomics quantitative automatic analysis method, the targeted metabolomics quantitative automatic analysis apparatus and the electronic device of the embodiments of the present invention adopted, targeted metabolomics quantitative analysis can be performed automatically and rapidly in a batched manner.
Owner:SUZHOU BIONOVOGENE BIOMEDICAL TECH CO LTD
Application of acylcarnitine spectrum or detection reagent thereof in prediction of onset risk of type 2 diabetes mellitus
The invention provides use of acylcarnitine or detection reagent thereof. Specifically, through 6 years of follow-up study on 2103 residents, a targeted metabonomic strategy is employed to determine that an acylcarnitine spectrum, especially a long-chain acylcarnitine spectrum can be used as the marker for effective prediction of the onset risk of type 2 diabetes mellitus, and also can significantly improve the prediction ability of traditional risk factors for new-onset type 2 diabetes mellitus, thus providing favorable guidance for clinical diagnosis and treatment.
Owner:SHANGHAI INST OF BIOLOGICAL SCI CHINESE ACAD OF SCI
Method for rapidly detecting content of B vitamins in pig intestinal contents/excrement
The invention discloses a method for rapidly detecting the content of B vitamins in pig intestinal contents / excrement. The method comprises the following steps: weighing cecum contents / excrement of pigs as a sample, adding a methanol / acetonitrile / water solution, and performing homogeneous extraction to obtain a sample solution; and performing UPLC-MS / MS-MRM detection analysis on the sample solution to finally obtain the content of eight B vitamins in the sample, wherein the eight B vitamins are vitamin B1, vitamin B2, nicotinic acid, nicotinamide, pyridoxal, pyridoxine, vitamin B9 and vitaminB12. According to the method, an MRM technology is utilized, an ultra-high performance liquid chromatography system and a mass spectrometer are combined, and the content of a plurality of B vitamins in the samples such as the pig intestinal contents and the excrement can be rapidly detected based on targeted metabonomics of an MRM method.
Owner:ANIMAL SCI RES INST GUANGDONG ACADEMY OF AGRI SCI
Blood metabolite marker for diagnosing multiple myeloma, and application
ActiveCN110749732AImprove accuracyReliable resultsComponent separationBiological testingStearic acidMetabolome
The invention relates to a blood metabolite marker for diagnosing multiple myeloma, and application. Untargeted metabolomics detection are firstly performed on a healthy donor (HD), and the marrow andperipheral blood sample of a primary-care patient of multiple myeloma (mm) to screen out 5 metabolites that have significant differences in marrows and peripheral blood samples, wherein the 5 metabolites are respectively L_Proline, L_Aspartic acid, L_Cystine, Stearic acid, and Palmitic acid. The analysis result of the ROC curve shows that the 5 different metabolites as a whole can more accuratelydiagnose MM. Targeted metabolomics detection further confirmed that the metabolome composed of these 5 metabolites is an ideal MM diagnostic method. The invention can accurately diagnose MM and is ofgreat significance for promoting the diagnosis of MM in basic research and clinical treatment.
Owner:CENT SOUTH UNIV
Method for evaluating toxicity effects of low-dose combined exposure of organic pollutants based on metabonomics technology
InactiveCN109880877AJoint Toxicity UnderstandingRich varietyMicrobiological testing/measurementMaterial analysis by electric/magnetic meansRate limitingSingle exposure
The invention discloses a method for evaluating toxicity effects of low-dose combined exposure of organic pollutants based on a metabonomics technology. Firstly, single exposure and combined exposureare performed to HepG2 cells by two organic pollutants, unbiased and accurate metabolite information can be obtained based on quasi-targeted metabolomics analysis, and multiple comparative analysis and enrichment analysis of metabolic pathways can directly reveal the impact of the organic pollutants on cellular metabolites and the metabolic pathways. By calculation of the metabolic impact level index, the combined exposure effect type of the combined exposure on overall metabolism and specific metabolic pathways can be quantitatively described. A biological detection method can further determine the activity of metabolic pathway rate-limiting enzymes, and confirm the change direction of the metabolic pathways and the main risk-driven compounds in a mixture. The method has the advantages ofeasy operation, fast detection, high sensitivity, strong selectivity, good repeatability and obtaining of systematic and comprehensive information.
Owner:DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
Amino acid metabolomics-based method for researching anti-insomnia action mechanism of sugemule
ActiveCN110999860AOptimizing Assay ConditionsCompounds screening/testingNervous disorderTryptamineNeurotransmitter systems
The invention relates to an amino acid metabolomics-based method for researching an anti-insomnia action mechanism of sugemule. Amino acid metabolome in each of tissues of the brains of para-chlorophenylalanine (PCPA) insomnic model rats before and after gavage with the sugemule is analyzed by applying a gas chromatography-mass spectrometer (GC-MS) method; endogenous compounds are identified by astandard fingerprint bank; changes of metabolite maps of all parts of the brains are analyzed and related metabolic markers are assayed by employing principal component analysis (PCA) and partial least squares-discrimination analysis (PLS-DA) modes; a targeting metabolomics research is conducted by applying liquid chromatograph-mass spectrometer (LC-MS) to explore content changes of neurotransmitters including 5-hydroxytryptamine, gamma-aminobutyric acid (GABA), glutamic acid (Glu) and the like in the brain tissues and related metabolites; by seeking for difference metabolites related with thecurative effect of the sugemule and metabolic pathways of the difference metabolites from brain tissue samples of clinical rats, the anti-insomnia action mechanism and an action site of the sugemuleare specified; and a metabolomics research means is applied for the first time by the amino acid metabolomics-based method to preliminarily confirm the action mechanism of the sugemule regulating andcontrolling a sleep-wake rhythm by a neurotransmitter system.
Owner:田继兰
GC-MS-based sample pretreatment method for plant non-targeted metabolomics
ActiveCN105866299BGood reproducibilityEfficient removalComponent separationIce waterPretreatment method
The invention discloses a GC-MS-based plant non-targeted metabolomics sample pretreatment method. The method comprises the steps of 1) mixing up a plant sample, an internal standard substance and a hydrophilic organic solvent, wherein the hydrophilic organic solvent is pre-cooled to be -20 to 4 DEG C; cooling the obtained mixture to be -80 to -10 DEG C, grinding, crushing and conducting the supersonic extraction in the ice-water bath; 2) then respectively adding a lipophilic organic solvent and water, uniformly mixing up, conducting the supersonic extraction in the ice-water bath, conducting the high-speed centrifugation at the temperature of 0 to 16 DEG C, obtaining the aqueous phase and evaporating; 3) adding an oximation reagent, and conducting the oximation reaction at the temperature of 30 to 45 DEG C; 4) finally adding a derivatization reagent and n-hexane, and conducting the derivatization reaction at the temperature of 60 to 80 DEG C. According to the technical scheme of the invention, based on the above pretreatment method, the primary metabolites of a plant sample can be fully extracted, so that the abundant metabolite spectrum data information can be obtained. Meanwhile, both the change of metabolites during the extraction process, and the pollution of liposoluble substances to a gas chromatographic column can be avoided as much as possible. Therefore, the better sample reproducibility is realized.
Owner:上海鹿明生物科技有限公司
A correction method for multi-batch targeted metabonomic data
ActiveCN108931590AQuality improvementAccurate correctionComponent separationComputer scienceSystem error
A correction method for multi-batch targeted metabonomic data is provided. The method includes collecting a plurality of samples same as a sample to be detected to form QC samples; adding a QC samplebefore the sample to be detected to form a first QC sample, inserting one QC sample in subsequent each 8-15 samples to be detected, recording the sample inserting number n of the inserted QC samples,and performing detection and analysis on all samples in the batch under completely same conditions to obtain the concentration of a target metabolite of each sample of the batch; constructing a related linear fitting machine that is Y=a*n+b, with ratios Y of the detected concentrations of the target metabolite in all the QC samples to the concentrations of the target metabolite in the first QC samples detected in the first batch being adopted as vertical coordinates, and the sample inserting numbers ns of all QC samples of the batch being adopted as horizontal coordinates; and substituting thesample inserting number n of each sample of each batch into the equation to obtain a correction factor of each sample of the batch, and subjecting each sample to system error correction.
Owner:BEIJING HARMONY HEALTH MEDICAL DIAGNOSTICS CO LTD
Method for identifying turmeric varieties by applying wide targeted metabonomics technology
ActiveCN114778729ASolve the shortage of supplyIncrease productionComponent separationMedicinal herbsEngineering
The invention discloses a method for identifying turmeric varieties by applying a wide targeting metabonomics technology. The method comprises the following steps: preparing a turmeric sample and a mixed standard substance; detecting and analyzing a turmeric sample; performing qualitative and quantitative analysis on a turmeric sample; processing and analyzing metabonomics data; screening metabolites with significant differences; a target metabolite is subjected to normalization processing, a clustering heat map is drawn through MetaboAnalyst5.0 online software, the change condition of the metabolite is reflected, and the characteristic difference metabolite of different varieties of turmeric is screened out. According to the method for identifying the turmeric variety by applying a wide targeted metabonomics technology, a new variety of turmeric is found, an excellent strain with high yield and high content is found and cultivated, the development of the turmeric industry is promoted, the problem of short supply of the turmeric medicinal material is solved, and a new choice can be provided for the medicinal material source of the medicinal turmeric.
Owner:中国医学科学院药用植物研究所云南分所 +1
Compounds and applications for the diagnosis of polycystic ovary syndrome
ActiveCN111830169BExcellent diagnostic valueEasy diagnosisComponent separationGroup 5/15 element organic compoundsAndrosterone glucuronideFluid phase
The invention discloses a compound used in the diagnosis of polycystic ovary syndrome. The compound is one of androsterone glucuronide or sphingomyelin (d17:1 / 24:1), or the compound is Combination of androstone glucuronide with sphingomyelin (d17:1 / 24:1). The beneficial effect of the present invention is that the non-target metabolomics research of polycystic ovary syndrome urine is carried out by ultra-high pressure liquid phase tandem time-of-flight mass spectrometry, and androsterone glucuronide, sphingomyelin lipid (d17:1 / 24: 1) and their combination have better diagnostic value for polycystic ovary syndrome. The purpose of simple and rapid diagnosis of polycystic ovary syndrome is achieved, and the detection cost is reduced at the same time.
Owner:SUN YAT SEN UNIV
Novel method for detecting metabolite spatial distribution in fresh tea leaves based on targeted metabonomics
ActiveCN110736795ALower performance requirementsLow costComponent separationChemical compoundDerivatization
The invention belongs to the technical field of tea compound detection, and particularly relates to a novel method for detecting metabolite spatial distribution in fresh tea leaves based on targeted metabonomics. The method comprises the following steps: (1) pretreating micro-scale samples of the fresh tea leaves; (2) extracting metabolites in the fresh tea leaves; (3) performing chemical derivatization on an extracting solution; (4) detecting the metabolites based on the targeted metabonomics; and (5) reducing and visually displaying the metabolite spatial distribution in the fresh tea leaves. The method is accurate, reliable, simple and feasible, can simultaneously analyze the spatial distribution of nearly 50 metabolites in the fresh tea leaves, and has important significance in synthesis and transportation of the metabolites in tea trees, research of the tea trees on biological and abiotic stress and the like.
Owner:TEA RES INST CHINESE ACAD OF AGRI SCI
Cell non-targeted metabonomic analysis sample pretreatment method
InactiveCN109799296AGood reproducibilitySmall impact on structureComponent separationPretreatment methodResearch Object
The invention discloses a cell non-targeted metabonomic analysis sample pretreatment method and belongs to the field of chemical analysis and detection. The cell non-targeted metabonomic analysis sample pretreatment method comprises the following steps of (1) quenching cells with quenching liquid, and then collecting the cells, wherein the quenching liquid is a mixed solution of methanol and water; (2) adding extracting liquid into the cells obtained in the step (1) for extraction, wherein the extracting liquid is a mixed solution of acetonitrile, isopropanol and sterile water. When applied totreating samples, the cell non-targeted metabonomic analysis sample pretreatment method can ensure rich metabolite peak data and increase the mean number of metabolites up to 190 and the abundance tohigher than 60*108; meanwhile, the cell non-targeted metabonomic analysis sample pretreatment method can achieve high repeatability and accordingly provide model research for metabonomic research andaction mechanism elucidation on toxicology and efficacy with cells as the object of research.
Owner:JIANGNAN UNIV
Method for evaluating toxic effect mechanism
InactiveCN112980915ASolving Absolute Quantitative ProblemsMicrobiological testing/measurementSystems biologyCytotoxicityMetabolic network
The invention discloses a method for evaluating a toxicity effect mechanism, and relates to the field of cytotoxicity evaluation methods. The method includes the following steps: after a biological sample is exposed to poison, screening out differential metabolites and differential genes through metabolomics detection and analysis and transcriptomics detection and analysis, and constructing a metabolic network composed of the differential metabolites and the differential genes through spearman correlation coefficient analysis to evaluate the toxic effect mechanism; the metabonomics detection and analysis comprises the following steps: performing non-targeted metabonomics detection and analysis to obtain differential metabolites of the biological sample after being exposed to the poison, and screening out a metabolic pathway having the highest correlation with the differential metabolites; and performing targeted metabonomics detection analysis on the basis of the non-targeted metabonomics differential metabolites to obtain the determined differential metabolites and related metabolic pathways.
Owner:INST OF QUALITY STANDARD & TESTING TECH FOR AGRO PROD OF CAAS
UPLC-MS/MS-based plasma cardiovascular disease related biomarker targeted metabonomics quantitative method
PendingCN112834656AImprove throughputEasy to separateComponent separationLinear correlationBlood plasma
The invention belongs to the field of biological analysis, and relates to a UPLC-MS / MS-based sensitive and reliable plasma cardiovascular disease related biomarker targeted metabonomics quantitative method. Mass spectrum parameters and a liquid chromatography method are optimized, one-time sample injection within 16 min is achieved, and high-flux, high-sensitivity and high-separation-degree detection is conducted on 20 kinds of biomarkers metabolized in ways of aromatic amino acid catabolism, trimethylamine oxide biosynthesis, histidine metabolism and the like. The method is good in linearity, linear correlation coefficients are all larger than 0.99, the intra-day precision and the inter-day precision are 1.12%-14.12% and 0.30%-13.74% respectively, and the recovery rate and the stability can also meet the analysis requirements of biological samples. The targeted metabonomics method has been proved to have a strong ability to accurately analyze metabolic markers, provides valuable information for large-scale biomarker verification, is a material basis for clarifying potential cardiovascular diseases, and provides powerful support for clinical diagnosis or early warning.
Owner:上海鹿明生物科技有限公司
Method for analyzing metabonomics by taking amino acid and acyl carnitine as target in blood
The invention relates to a method for analyzing metabonomics by taking amino acid and acyl carnitine as a target in blood, comprising the following steps: (1) collecting a certain number of fresh blood samples to obtain serum or plasma samples, and dividing the serum or plasma samples into a sample group and a contrast group according to an identification result of a blood sample contributor; (2)performing targeted metabonomics pretreatment on each blood sample in the sample group and the contrast group; (3) sending each blood sample in the sample group and the contrast group to a high performance liquid chromatography tandem mass spectrometer, performing accurate quantification on target objects to obtain specific numerical value of each target object of each blood sample in the sample group and the contrast group; (4) comparing the target objects of the sample group and the contrast group, and selecting a target object with obvious difference; and (5) building a radar model, drawingthe target object with obvious difference to the radar model and finding out the relation between the target objects with obvious difference.
Owner:BEIJING HARMONY HEALTH MEDICAL DIAGNOSTICS CO LTD
Method for studying the mechanism of anti-insomnia effect of Sugemule based on amino acid metabolomics
The method of studying the anti-insomnia mechanism of Sugemule based on amino acid metabolomics is to use GC-MS method to analyze the amino acid metabolome in the brain tissues of PCPA insomnia model rats before and after Sugemule gavage. Source compounds, using PCA and PLS-DA modes to analyze changes in metabolite profiles in various parts of the brain and identify related metabolic markers; use LC-MS to carry out targeted metabolomics research, and investigate 5-Hydroxytryptamine, GABA in brain tissue , Glu and other neurotransmitters and related metabolite content changes; by looking for differential metabolites and their metabolic pathways related to the curative effect of Sugemule in clinical rat brain tissue samples, the mechanism and location of the anti-insomnia effect of Sugemule were clarified point; the present invention applies metabolomics research means for the first time, and preliminarily proves the mechanism of action of Sugemule regulating sleep-wake rhythm through the neurotransmitter system.
Owner:田继兰
Metabolome analysis method for dried blood spots and other trace biological samples
The invention belongs to the technical field of biological analysis, and specifically relates to a metabolome analysis method for dried blood spots and other trace biological samples. The method provided by the invention comprises the following steps: performing metabolite extraction on the samples of dried blood spots; performing global non-targeted metabolomics analysis on dried blood spots, wherein UHPLC-QTOF-MS is used for non-targeted metabolic phenotypic analysis of DBS samples; and analyzing the composition of metabolites of dried blood spots by using the RPLC and HILIC chromatographicseparation mode and electrospray ionization (ESI) positive and negative ion mass spectrometry detection mode. The method provided by the invention greatly reduces the loss of metabolites of the samples in the process of pretreatment and the influence of metal ions on the analyte, has the characteristics of high flux, high sensitivity and high coverage of metabolites, and can be applied to analysisand research such as molecular epidemiology screening and pathogenic mechanisms.
Owner:FUDAN UNIV
Compositions and methods for metabolic profiling in subjects with heart failure with preserved ejection fraction
ActiveUS10451641B2Mass spectrometric analysisOmicsHeart failure with preserved ejection fractionMetabolic profile
Disclosed herein are compositions and methods for targeted metabolomics profiling to provide absolute quantification of a broad array of metabolic intermediates of fatty acids, amino acids, and carbohydrate metabolism for HFpEF. In an aspect, the disclosure relates to a method for assessing risk of death or a major adverse cardiac event (MACE) in a subject diagnosed with heart failure with preserved ejection fraction (HFpEF). The method may include (a) determining in a sample from the subject the level of each metabolite in at least one factor, wherein the factor is selected from the group consisting of factor 1, factor 3, factor 4, factor 5, factor 10, factor 12, and factor 14; and (b) comparing the level of each metabolite in the sample to a standard, wherein the level of the metabolite in the subject relative to a standard is indicative of the risk of death or MACE in the subject.
Owner:DUKE UNIV
Marker for screening and identifying not-from-concentrate apple juice based on non-targeted metabolomics and use thereof
PendingUS20220187267A1Component separationMaterial analysis by electric/magnetic meansChlorogenic acidFruit juice
The present disclosure discloses a marker for screening and distinguishing NFC apple juice based on non-targeted metabolomics and use thereof, relating to the technical field of distinguishing of juice. The marker for distinguishing NFC apple juice disclosed in the present disclosure is selected from the following molecules: gallocatechin, catechin, taxifolin, p-hydroxybenzaldehyde, 5-methoxysalicylic acid, azelaic acid, caffeic acid, chlorogenic acid, epicatechin, eriodictyol, ferulic acid, isoquercitrin, naringenin, n-fructosyl isoleucine, p-coumaraldehyde, p-coumaric acid, phloretin, phlorizin, procyanidin B1, quercetin-3-O-galactoside and rutin. The above markers may be used for distinguishing the NFC apple juice and the FC apple juice, and have relatively high accuracy.
Owner:INST OF QUALITY STANDARD & TESTING TECH FOR AGRO PROD OF CAAS +1
Application of proline and alanine in prevention and treatment of wheat scab
The invention discloses application of proline and alanine in prevention and treatment of wheat scab. The method comprises the following steps: firstly, based on a non-targeted metabonomics technology, screening resistance-related differential metabolites in a gibberellic disease-resistant wheat variety in an electric ion full scanning mode, and carrying out metabolic pathway enrichment analysis to find that an amino acid pathway is related to gibberellic disease resistance; and identifying proline and alanine in the amino acid pathway as fusarium head blight resistance related metabolites through a targeted metabonomics technology. According to the method, proline and alanine are treated before inoculation of in-vitro leaves and ears of wheat, so that the wheat can be effectively protected and treated, and the method is of great significance to prevention and treatment of wheat scab.
Owner:山东国仓健生物科技有限公司 +1
A Quasi-targeted Metabolomics Analysis Method Based on Liquid Chromatography/Mass Spectrometry
ActiveCN104297355BWide detection linear rangeMeet detectionComponent separationMass spectrometry imagingTime of flight
The present invention is a pseudo-target metabolomics analysis method based on liquid chromatography / mass spectrometry. The samples to be analyzed are respectively prepared into combined samples according to the groups, and the ultra-high performance liquid chromatography / quadrupole-time-of-flight mass spectrometry is used for the analysis. The data-dependent acquisition mode automatically collects the secondary mass spectrometry of the metabolites contained in each combined sample, and uses qualitative analysis software to extract the retention time, parent ion and product ion information of the measured metabolites, and screen out the metabolites according to the response intensity of the product ions. The characteristic transition information is added, and the characteristic transition information obtained from each combined sample is summed. Then, in the actual sample, UHPLC / QQQ MS is used to scan the obtained metabolite characteristic ion pairs through dynamic multiple reaction monitoring mode to obtain the corresponding spectrum, and then integrated through quantitative analysis software to obtain the metabolite contained in the sample to be tested. information on the substance and its content.
Owner:DALIAN INST OF CHEM PHYSICS CHINESE ACAD OF SCI
Method for distinguishing authenticity of selaginella tamariscina varieties in non-targeted metabonomics and application
Owner:湖南省药品检验检测研究院 +1
A method for evaluating the nutritional status of crops in latent nutrient deficiency period using sensitive metabolites
ActiveCN111220734BIncreased sensitivityHigh sensitivityComponent separationOmicsBiotechnologyNutritional status
The invention provides a method for evaluating the nutritional status of crops in latent nutrient deficiency period by using sensitive metabolites, comprising the following steps: dividing the nitrogen, phosphorus and potassium test areas, adopting standard crop fertilization formulas, and forming three different types of nitrogen, nitrogen, and excess Samples of phosphorus and potassium nutritional levels; use liquid chromatography-mass spectrometry to obtain non-target metabolomics data; screen sensitive metabolites significantly related to crop nitrogen, phosphorus, and potassium; The relative quantification and normalization of the substances were carried out, and the corresponding relationship between the nutritional elements and levels and the label was established. The samples were divided into a calibration set and a verification set, and the calibration set nitrogen, phosphorus, and potassium nutritional status evaluation models were respectively established; the content of sensitive metabolites was obtained. , input the nutritional status evaluation model to judge its nutritional status. The invention can be used for early diagnosis of nutrition level, and the timeliness and detection accuracy are obviously improved.
Owner:JIANGSU UNIV
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