2007 results about "Metabolite" patented technology

The invention discloses a metabonomics data batch correction method based on multi-kernel learning, and belongs to the cross technical field of bioinformatics and analytical chemistry. According to the method, the multi-kernel learning technology is utilized, the advantages of different kernel functions are fused in a self-adaptive mode, a model conforming to data reality is constructed, complex drift characteristics of metabolite signals are accurately captured, and efficient and accurate normalization processing of metabonomics data is achieved. Compared with traditional data standardization methods such as SVR and LOESS, the method has the advantages that the performance is excellent in the aspect of reducing the metabolite peak intensity variability, and the data stability is remarkably improved. In the subsequent multivariate statistical analysis, the classification accuracy is greatly improved, the comparability among different batches of data is also remarkably enhanced, reliable data support can be provided for discovery of disease biomarkers, and the method plays a key role in large-scale metabonomics research.

The invention relates to a metabolic marker for diagnosing diabetic secondary osteoporosis and application of the metabolic marker, and belongs to the technical field of biological medicine. The method comprises the following steps: firstly, screening out obviously different metabolites between osteoporosis (DOP) and osteoporosis-free groups (DM) in diabetic patients; and secondly, screening out significant difference metabolites between the primary osteoporosis patient and the healthy control group, and excluding the intersection of the two groups of difference metabolites to obtain metabolites which exclude the influence of the primary osteoporosis. Metabolic markers, namely cytosine nucleotide, ketoglutaric acid and triethylamine, are obtained through further screening, and when the three metabolic markers are independently used, AUCgt; the AUC during combined use is 0.99, so that the limitation that the sensitivity of the traditional bone mineral density detection on the osteoporosis recognition in the diabetic population is insufficient is effectively made up.

The invention relates to a PLpro protease small-molecule inhibitor for treating or preventing coronavirus infection and application of the PLpro protease small-molecule inhibitor. Specifically, the invention relates to a compound shown as a formula (I) or an isotope labeled compound thereof, or an optical isomer, a geometric isomer, a tautomer or an isomer mixture thereof, or a pharmaceutically acceptable salt thereof, or a prodrug thereof, or a metabolite thereof, and the use thereof in the preparation of a medicament for treating or preventing coronavirus infection or diseases or symptoms caused by coronavirus.

The invention discloses a method for constructing a multicellular living body material by adopting a droplet bioreactor, which belongs to the crossing field of biological materials and microbial engineering, and comprises the following steps: (1) resuspending different cells in different polymer solutions to prepare degradable or phase-separable hydrogel particles containing cells; (2) dispersing the hydrogel particles in a cross-linkable hydrogel matrix to form a composite hydrogel; and (3) curing the composite hydrogel, and then carrying out degradation treatment to obtain the liquid cavity structure multicellular system bioreactor with spatial partition and dynamic interaction characteristics. According to the invention, ordered distribution and metabolism synergy of different microorganisms in space can be realized, controllable degradability and excellent mass transfer performance are realized, bacterial slow release and metabolite exchange can be maintained, and the method is suitable for long-term stable operation of a continuous flow reactor. The method has wide application prospects in the fields of green biological manufacturing, renewable energy source production, environmental restoration, biomedical engineering and the like.

The invention discloses Mucor abundans and application of the Mucor abundans, the strain number of the Mucor abundans is JSAFC 2484, the Mucor abundans is preserved in the China General Microbiological Culture Collection Center on May 6, 2025, and the preservation number is CGMCC No. 41979. The Mucor abundans can be applied to the field of biological engineering. The biocontrol bacterium Mucor abundans JSAFC 2484 provided by the invention can effectively inhibit the growth of Fusarium equiseti, the inhibition rate of plate confrontation culture reaches 68.52%, meanwhile, extracellular metabolites secreted by the biocontrol bacterium Mucor abundans JSAFC 2484 can also significantly reduce the growth of the Fusarium equiseti, when the concentration of the extracellular metabolites of the JSAFC 2484 is 10 mL / 100 mL, the inhibition rate of the Fusarium equiseti reaches 76.35%, and when the concentration of the extracellular metabolites of the JSAFC 2484 is 100 mL / 100 mL, the inhibition rate of the Fusarium equiseti reaches 79.05%. Meanwhile, the plant growth promoting effect is achieved on pepper plants.

The invention provides a lactobacillus pentosus and a preparation method and application of bacteriocin of the lactobacillus pentosus. The name of the strain is lactobacillus pentosus YCL31, and the strain is preserved in Guangdong Microbial Culture Collection Center (GDMCC) on June 25, 2025, the preservation address is the 5th floor of the building 59, No. 100 courtyard, Xianlie Middle Road, Guangzhou, and the preservation number is GDMCC No: 66589. The bacteriocin separated and purified from the metabolite of the bacterium can destroy the morphological structure of the vibrio parahemolyticus and inhibit the toxicity of the vibrio parahemolyticus, can also achieve the effect of remarkably inactivating the vibrio parahemolyticus in a metapenaeus ensis system, can effectively delay the spoilage of the metapenaeus ensis, and has a good application prospect as a bacteriostatic agent or preservative. Therefore, development and application of the novel bacteriocin have important reference value in related fields.

The invention provides an organoid drug reaction whole-course monitoring system, and relates to the technical field of data monitoring, and the system comprises an acquisition module which is used for acquiring a three-dimensional image sequence of an organoid at a set time interval, and monitoring the concentration data of metabolites in a culture solution to obtain multi-source monitoring data; the processing module is used for performing voxelization processing on the three-dimensional image sequence to form a time sequence three-dimensional voxel data set; and the calculation module is used for calculating barycentric coordinates of the organ-like structure based on the three-dimensional space distribution characteristics of the organ-like structure in the time sequence three-dimensional voxel data set, and establishing two mutually orthogonal space analysis axes in the maximum cross section of the organ-like structure by taking the barycentric coordinates as the center. According to the method, comprehensive and dynamic monitoring and evaluation of the organoid drug reaction process are realized through multi-source data collaborative acquisition, standardized spatial analysis, accurate form dynamic extraction, form and metabolism time sequence correlation modeling and real-time time sequence registration evaluation.

The invention discloses mucor oosperm and application of the mucor oosperm, the bacterial strain number of the mucor oosperm is JSAFC 2483, the mucor oosperm is preserved in the China General Microbiological Culture Collection Center on May 6, 2025, and the preservation number is CGMCC No.41980. The mucor oosperm has the advantages that the mucor oosperm can be used for preparing the mucor oosperm; the biocontrol bacterium Mucor moelleni JSAFC 2483 provided by the invention can effectively inhibit the growth of Fusarium equiseti, the inhibition rate of plate confrontation culture reaches 54.90%, meanwhile, extracellular metabolites secreted by the biocontrol bacterium Mucor moelleni JSAFC 2483 can also significantly reduce the growth of the Fusarium equiseti, when the concentration of the extracellular metabolites of the JSAFC 2483 is 10 mL / 100 mL, the inhibition rate of the Fusarium equiseti reaches 53.98%, and when the concentration of the extracellular metabolites of the JSAFC 2483 is 100 mL / 100 mL, the inhibition rate of the Fusarium equiseti reaches 56.64%. Meanwhile, the plant growth promoting effect is achieved on pepper plants.

The invention relates to a brand-new microbial natural metabolite, namely Fcl-8, which is derived from a fermentation solution of Xenorhabdius budapestensis XBD8, and is characterized in that the Fcl-8 is a new microbial natural metabolite, namely Fcl-8, which is derived from the fermentation solution of the Xenorhabdius budapestensis XBD8. The purified Fcl-8 is a snow white flocculent crystal and is very easy to dissolve in water, and the solid state of the purified Fcl-8 is as shown in Figure 1. The chemical structural formula of the Fcl-8 is as shown in a figure 2, the chemical formula is C57H102N14O12, the molecular weight is 1175.78744, and the typical secondary mass spectrum information of the Fcl-8 is as shown in a figure 3. The Fcl-8 is derived from a microbial natural metabolite, is novel in structure and high in biological activity, and has very high potential to be developed into a novel biopesticide.

The invention discloses a seed pelleting formula for improving salt tolerance of suaeda salsa in coastal saline-alkali soil and a processing method, the pelleting formula comprises 348-492 parts of a filler, 348-492 parts of a binder, 348-492 parts of a water-retaining agent and 348-492 parts of a biological stimulant, and the filler comprises attapulgite, talcum powder and vermiculite; the binder is 73-89 parts and comprises sodium carboxymethyl cellulose, polyvinyl alcohol and starch; the water-retaining agent accounts for 30 to 42 parts, and the water-retaining agent is polyacrylamide; the biological stimulant is prepared from the following components in parts by weight: 20-78 parts of yeast metabolite, potassium fulvate, seaweed essence, rhamnolipid and a microbial agent; the processing method comprises the steps of seed selection, raw material preparation, layered coating, low-temperature drying, selection and sieving, and polishing and shaping. According to the invention, a layered coating process is adopted to break through a traditional single mixed coating mode, an isolation breathable microenvironment is firstly constructed by the filling layer, then growth-promoting stress-resistant nutrient substances are injected by the active layer, and finally, the shaping layer is used for locking and shaping and strengthening protection, so that the seeding performance, salt tolerance, germination activity and seedling stress resistance of the pellets are remarkably improved.

The invention discloses heavy metal resistant bacillus velezensis as well as a microbial remediation agent and application thereof. Bacillus velezensis DBS01 is screened from heavy metal contaminated soil in Dabaoshan mining areas in Shaoguan City, Guangdong province, is preserved in China Center for Type Culture Collection (CCTCC), has a preservation number of CCTCC M 20252228, not only has resistance to various heavy metals, but also can metabolize and secrete metabolites such as organic acid, cellulase and growth hormone in different growth stages, and can be used for preventing and treating various heavy metals. Multiple functions of curing heavy metals, dissolving phosphorus and potassium, promoting plant growth and the like are realized. According to the method, bacillus velezensis DBS01 is inoculated into a culture medium containing straw, calcium superphosphate, agar and sodium alginate are added, and a mixture containing the bacillus velezensis DBS01 is freeze-dried, so that the heavy metal contaminated soil in the mining area can be efficiently repaired in an environment-friendly manner at low cost, and the ecological function recovery of the soil is effectively promoted.

A computer implemented method matching an individual's continuous metabolite monitoring traces with another individual's continuous metabolite monitoring traces begins by identifying a concentration level of a metabolite for a subject. Dividing metabolic states into ranges of concentration levels allows for transforming a concentration level into a symbol from a set of symbols, wherein the symbol represents a category of concentration levels. The method identifies one or more strings of symbols, wherein each string of symbols represents a series of one or more symbols corresponding to a series of transformed concentration levels represented by the symbols. A computer is programmed to determine a lexical distance between a first string from the one or more strings of symbols and a second string, wherein the lexical distance corresponds to a degree of similarity between the first string and the second string. The computer provides a search result for a search query based on the determined lexical distance.

Provided are a compound as shown in general formula (I), or a stereoisomer, deuterate, solvate, prodrug, metabolite, pharmaceutically acceptable salt or co-crystal thereof, an intermediate thereof, a preparation method therefor, and the use thereof in the preparation of a drug for treating a disease associated with the activity or expression quantity of complement factor B.

The invention discloses a diabetes cognitive impairment method based on metabonomics analysis and prediction, and relates to the technical field of biological information, and the method comprises the following steps: S1, obtaining metabonomics data and immunomics data from a peripheral blood sample of a diabetic patient, extracting relevant time sequence data aiming at glucose metabolism, and calculating the glucose metabolism related time sequence data; processing the sequence data by adopting a time sequence analysis algorithm to obtain time sequence change characteristics; s2, constructing a cross-omics interaction network according to time sequence change characteristics, integrating an incidence relation between metabolite concentration and immune factor expression, and setting a dynamic interaction mode; according to the diabetes cognitive impairment method based on metabonomics analysis and prediction, through multi-omics data integration and dynamic network analysis, the precision and reliability of diabetes cognitive impairment mechanism analysis are remarkably improved, and a theoretical basis is provided for precise intervention.

The invention relates to the technical field of bioinformatics, particularly discloses a metabolite target interaction prediction method and system for myocardial injury, and aims to solve the problems that complex heterogeneous data processing is insufficient, and dynamic changes of a metabolic network are difficult to capture and fine time sequence prediction is difficult in the prior art. According to the method, multi-source heterogeneous data is integrated, a myocardial injury risk factor and metabolite target knowledge base is constructed, and machine learning and deep learning technologies are utilized to realize risk factor weighting and static and sequential dynamic risk assessment. By fusing the static risk level and the dynamic adjustment factor, the system can predict the metabolite target interaction related to the individual high-risk state and generate personalized prevention and intervention strategy suggestions according to the metabolite target interaction. The system comprises a plurality of functional modules including data acquisition and preprocessing, knowledge base construction, feature engineering, risk modeling, time sequence optimization, target prediction and the like, so that early, dynamic and accurate prediction of myocardial injury risks and recognition of personalized intervention targets are realized.

The invention relates to the technical field of medicines, in particular to application of alpha-ketoglutaric acid in preparation of a medicine for preventing and / or treating myopia. The invention provides application of alpha-ketoglutaric acid or pharmaceutically acceptable salt thereof in preparation of products for preventing and / or treating myopia, and the alpha-ketoglutaric acid is taken as an important intermediate metabolite of tricarboxylic acid cycle in mitochondrial aerobic respiration and has oral safety; researches show that alpha-ketoglutaric acid can inhibit myopia progress and ocular axis elongation by improving sclera fibroblast phenotype transformation and extracellular matrix remodeling, and a new idea is provided for preparation of myopia intervention drugs.

The invention relates to the technical field of pesticide residue detection, and discloses a method and a device for detecting the residual quantity of tetratolfenpyrad and metabolite thereof, and the method for detecting the residual quantity of tetratolfenpyrad and metabolite thereof comprises the following steps: step 1, dissolving a sample of tetratolfenpyrad and metabolite thereof in an extraction solvent; then injecting the extracting solution into a solvent bottle on a liquid chromatograph; and secondly, the inserting part is inserted into a bottle head at the top of the solvent bottle, the inserting part is in butt joint with a straight pipe fitting in the solvent bottle, a second magnetic ring on the inserting part is in magnetic connection with a first magnetic ring on the bottle head, then a first liquid conveying pipe on the inserting part is in butt joint with a butt joint part on the hollow block, and assembly of a section of pipeline structure is completed. Through segmented assembly of the liquid conveying pipeline, magnetic ring limiting and branch pipe fitting design, the pipeline connection stability is effectively enhanced, leakage is avoided, it is ensured that a chromatographic analysis experiment is continuously and accurately carried out, the experiment failure risk is reduced, and solvent waste and environmental pollution are reduced.

The invention provides a dendrobium devonianum epiphytic tea tree cultivation method, which belongs to an epiphytic plant planting technology, and is characterized in that a dendrobium devonianum root system can be closely fused with a tea tree trunk through treatment of'minimal trauma + callus inducer ', and a structural foundation is laid for material exchange. The jasmonic acid methyl ester stress with a specific concentration is applied to the dendrobium nobile in the key phenological period, the dendrobium nobile is accurately induced to synthesize and secrete beneficial secondary metabolites, the theanine content in the tea can be remarkably increased, the proportion of ester type catechin can be reduced, and therefore the fresh degree of the tea is remarkably increased, and the astringent taste of the tea is remarkably reduced. The stress resistance of the dendrobium devonianum and the tea trees treated by the method is also enhanced, and the disease occurrence rate is reduced. While high-quality dendrobium nobile is harvested, the quality and economic benefits of the produced tea leaves are synchronously improved.

Provided herein is the use of certain biomarkers, such as tryptophan and metabolites thereof for use in certain treatment methods. Suitable tryptophan metabolites that may serve as useful biomarkers include, for example, kynurenine (Kyn), kynurenic acid (KynA), and quinolinic acid. Such biomarkers may be used in identifying a subject who may benefit from treatment, predicting the responsiveness or monitoring the response of the subject to the treatment, or determining or adjusting the dosing or dosing regimen of the treatment to the subject.

The invention relates to the technical field of aquaculture, in particular to a leiocassis longirostris intestinal health functional additive based on spermaceti soxhlet metabolite. The Leiocassis longirostris intestinal health functional additive comprises the following functional components: chondroitin sulfate, N-acetyl-D-galactosamine, 4 ', 4', 4 ', 4', 4 ', 4', 4 ', 4', 4 ', 4', 4 ', 4'- The composition is prepared from the following raw materials: 4, 6-dihydroxyflavone, polydatin, ascorbic acid, glucoside, arabinogalactan, 3-O-beta-D-galactopyranosyl-L-arabinose, tyramine, 4A-hydroxytetrahydrobiopterin, hyaluronic acid and 3-mercapto-2-butanol. According to the technical scheme, the technical problem that an existing probiotic viable bacterium preparation is difficult to meet the intestinal health management requirement in intensive culture of the leiocassis longirostris can be solved. Compared with the prior art, the scheme is more efficient, stable and safe, healthy development of the Leiocassis longirostris breeding industry can be effectively promoted, and the method has ideal application and popularization prospects.

The invention discloses an application of lactobacillus mucosa LMSJ001 or a metabolite agmatine of the lactobacillus mucosa LMSJ001 in preparation of a medicine for improving intestinal aging, and the application research of the lactobacillus mucosa LMSJ001 in a constructed aging mouse model finds that the lactobacillus mucosa LMSJ001 can be used for preparing a medicine for improving intestinal aging. Therapeutic gavage and application of Lactobacillus mucosa LMSJ001 in colon organs for intervention can significantly improve aging indexes, alleviate histological aging performance, promote intestinal peristalsis of aged mice, reduce secretion of inflammatory factors of the aged mice, improve intestinal epithelial barrier functions of the aged mice and improve intestinal dryness of the aged mice. The lactobacillus mucosa LMSJ001 can generate a metabolite agmatine through arginine decarboxylase, and agmatine can improve related indexes of proliferation and differentiation of intestinal stem cells and reduce expression of related indexes of senescence. Based on the unique functions, the lactobacillus mucosa LMSJ001 or the metabolite agmatine of the lactobacillus mucosa LMSJ001 can be cooperated or complemented with other means, is used for preparing pharmaceutical compositions or detection kits and the like, and has very wide application prospects.

The invention discloses a monitoring and prevention method for comprehensive prevention and control of tobacco viruses. The monitoring and prevention method comprises the following steps: S1, collecting tobacco virus monitoring data; s2, analyzing a virus infection risk index through the monitoring data; s3, preparing a comprehensive virus control agent; s4, collecting leaf states of the tobacco plants; s5, judging an infection propagation direction by combining multi-dimensional data; according to the method, concentration data of root system metabolites and leaf VOCs are collected at the same time, and multi-parameter conjoint analysis of virus invasion is achieved; through joint analysis of VOCs concentration data in the orientation, root system metabolites and leaf apparent parameters, the numerical value change trend in the virus propagation direction is quantified, and accurate positioning of a propagation path is achieved; through multi-dimensional data fusion, dynamic model quantitative analysis and physical blocking and medicament cooperative prevention and control, early warning, accurate judgment, propagation direction quantification and efficient prevention and control of tobacco virus infringement are realized, and a complete closed loop from monitoring to intervention is formed.

The invention discloses a method and system for analyzing a bacterium-drug interaction panoramic dynamic mechanism by using a causal enlightenment hypergraph neural network, and electronic equipment, and belongs to the technical field of artificial intelligence and biomedical informatics. The method comprises the following steps: constructing a disease / syndrome / disease-bacterium / microorganism / metabolite-prescription / drug / component interlocking hypergraph; analyzing a bacteria-drug interaction dynamic mechanism based on a dynamic hypergraph network algorithm; optimizing the hypergraph neural network based on the prescription compatibility rule and the traditional Chinese medicine dosage; and predicting the microbial marker based on the causal enlightenment hypergraph neural network. According to the method, a multi-entity high-order relation is captured through an interlocking hypergraph structure, a time sliding window and an attenuation mechanism are introduced to analyze dynamic evolution, the traditional Chinese medicine dosage is used as an attention priori optimization network, and causal reasoning is achieved through alternate optimization of an intervention discovery and response prediction module. In a public data set test, the performance evaluation index is obviously superior to that in the prior art, and the problem of analyzing the panoramic dynamic mechanism of the bacterium-drug interaction is effectively solved.

The embodiment of the invention relates to a plant metabolite synthesis center and key gene analysis method and device. The method comprises the steps of constructing a partial differential equation, designing two neural network models, setting two ordinary differential equations, setting a data format of a sampling data sequence, designing a loss function LALL and designing a model training process. Intercepting experimental materials and storing the experimental materials; sampling and storing the frozen slices of the experimental material; after sampling is finished, setting sampling data sequences of various observation substances, and performing one-time targeted training on the two models; simulating the temporal and spatial change state of the current substance based on the model parameter set corresponding to each substance, analyzing the synthesis center based on simulation data, and analyzing the key gene by comparing the gene sequencing results of the synthesis center / comparison area of each substance. According to the invention, the positioning accuracy of the synthesis center and the identification accuracy of key gene information can be improved.

The present invention relates to the technical field of medicine. Specifically, the present invention relates to a KRAS inhibitor compound, a pharmaceutical composition thereof, and a use thereof. Specifically, the present invention relates to a compound as represented by formula (I), or a stereoisomer, tautomer, nitrogen oxide, solvate, metabolite, pharmaceutically acceptable salt, or prodrug of the compound as represented by formula (I). The compound and the pharmaceutical composition thereof provided in the present invention can be used for preparing medicaments for preventing or treating diseases related to KRAS amplification or mutations such as KRAS G12A, KRAS G12C, KRAS G12D, KRAS G12R, KRAS G12S, KRAS G12V, KRAS G13D, or KRAS Q61H, and can especially be used for preparing medicaments for preventing or treating cancer.

The invention relates to a biomarker for screening intestinal flora transplantation donors and application of the biomarker. The biomarker comprises intestinal flora and metabolites thereof, the intestinal flora comprises phylum firmicalis, bacteroides and the like, and the metabolites comprise short-chain fatty acid, tryptophan, indole, 5-hydroxytryptamine, lipopolysaccharide and the like. According to the method, the intestinal flora of different crowds is deeply analyzed, the relationship between each related index of the intestinal flora and the intestinal flora transplantation effect is studied, sufficient clinical verification is carried out, a biomarker for screening the intestinal flora transplantation donor is excavated, and a standard for judging whether the intestinal flora transplantation donor is qualified or not is established; and a new method and a new idea are provided for efficiently and accurately screening intestinal flora transplantation donors.

The invention discloses a method for improving the self-luminous intensity of a plant, which is characterized in that an AroGL175Q gene or an RgTAL gene and a PtC3H gene or the AroGL175Q gene, the RgTAL gene and the PtC3H gene are expressed in a plant containing a fungus bioluminescence system FBP, so that a transgenic plant of which the caffeic acid content, the milk tree alkali content and the luminous intensity are obviously increased is obtained. According to the invention, through metabolic network optimization and transformation, phenylpropane metabolites required by middle and upper streams of a fungus bioluminescence pathway are increased, and synthesis of caffeic acid and milk tree alkali in plants is increased, so that bioluminescence enhancement is realized. The precursor supply bottleneck of a fungus bioluminescence system is broken through, and an innovative solution is provided for creating efficient self-luminous plants.

The invention relates to the technical field of trace detection, in particular to a rapid detection method for trace antibiotic residues in a patient body, which comprises the following steps: acquiring an overall metabolism chromatogram of a target patient at the current moment, and acquiring a historical metabolism chromatogram corresponding to each preset antibiotic; clustering the characteristic peaks corresponding to the same preset antibiotic based on the retention time corresponding to the characteristic peaks; clustering the characteristic peaks according to retention time, peak width and responsivity corresponding to the characteristic peaks; determining target independence corresponding to each representative clustering peak according to the association condition between each representative clustering peak and the corresponding to-be-connected peak set; and carrying out antibiotic residue detection according to the matching condition of the overall metabolism chromatogram and each target clustering peak. By analyzing the characteristic peak independence condition between the antibiotics and the metabolites thereof and between different antibiotics and the metabolites thereof, antibiotic residue detection is realized, and the accuracy of antibiotic residue detection is improved.

The invention discloses an endogenous small molecule metabolite for treating obesity and related metabolic diseases thereof, and belongs to the field of biological medicine. Specifically, the invention relates to application of hippuric acid in preparation of anti-obesity drugs. The invention discloses a technical scheme for treating obesity and related metabolic disorders by hippuric acid, and overcomes the defects of single curative effect, larger side effect or unclear action mechanism and the like in the prior art through the advantages of targeted improvement of liver fatty degeneration, improvement of insulin sensitivity, higher potential safety, provision of a new treatment strategy and the like. The method has remarkable technical progress and clinical application value.

The invention discloses a stem cell metabolism marker omics analysis method, device, equipment and medium, relates to the technical field of biomedicine, is applied to a computer device, and comprises the following steps: carrying out non-targeted detection on a to-be-detected sample of a target object to obtain an original mass spectrum; wherein the sample to be detected is a serum sample or a cell sample; preprocessing the original mass spectrogram to obtain a metabolite matrix in a standardized format; performing principal component analysis and partial least square discriminant analysis on the metabolite matrix, and determining a metabolic marker from the metabolite matrix according to an obtained analysis result; obtaining fragment information of the metabolic marker based on a collision-induced dissociation mode, and searching for a structural annotation of the metabolic marker from a human metabolome database based on the fragment information; and constructing a metabolic pathway map of the metabolic marker according to the structural annotation of the metabolic marker. The accuracy of omics analysis of the stem cell metabolism marker is improved.