75 results about "Metabolomic profiling" patented technology

An ultrasound-metabolic synergistic system for diagnosing SLN metastasis of breast cancer. A deep learning model based on grayscale ultrasound is constructed to predict SLN metastasis of breast cancer, and 9 grayscale deep features and 15 grayscale manual features associated with SLN metastasis are obtained. A matrix material based on two-dimensional material MXene / multi-walled carbon nanotubes improves the detection of small metabolic molecules in blood, and metabolomics analysis results show that this has certain potential in detecting SLN metastasis of breast cancer, while revealing metabolic pathways closely associated with metastasis, such as the glucose-alanine cycle and glycolysis, suggesting that alterations in relevant molecular pathways may underlie heterogeneous features in ultrasound radiomics. The combination of ultrasound omics and metabolomics further improves the diagnostic performance for SLN metastasis of breast cancer. Therefore, organic integration of the two serves the diagnosis of SLN metastasis of breast cancer, providing a new strategy and theoretical basis for the accurate diagnosis of SLN metastasis of breast cancer, and possesses practical clinical application values.

The invention discloses an agricultural product quality safety intelligent grading early warning system and a grading method thereof, and relates to the technical field of agriculture. The method comprises the following steps: acquiring and analyzing production area information of agricultural products to obtain a production area risk value; obtaining biological index data of the agricultural products, and obtaining a production environment risk value based on the production area risk value; performing metabonomics analysis on the agricultural products, and performing pollution early warning scoring on the agricultural products to generate pollution early warning risk values; obtaining and analyzing consumer behavior data of the agricultural product to obtain a consumer feedback score; and integrating the production environment risk value, the pollution early warning risk value and the consumer feedback score, performing analysis to obtain a comprehensive quality safety score of the agricultural product, generating a score level, and triggering score level early warning. According to the invention, a scientific and intelligent agricultural product quality safety dynamic evaluation and early warning system is formed, and the occurrence rate of agricultural product safety accidents is effectively reduced.

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 a traditional Chinese medicine and metabolite identification method based on double mass spectrum platform collaboration, which comprises the following steps: respectively collecting by adopting a liquid chromatogram-triple quadrupole mass spectrometer and a liquid chromatogram-quadrupole time-of-flight mass spectrometer, and simultaneously establishing a corresponding compound database and a qualitative scheme; the LC-MS / MS traditional Chinese medicine component identification method based on double mass spectrum platform collaboration is realized. Chemical components in a traditional Chinese medicine sample are identified through a high-coverage metabolite database, and data are integrated and processed through a grading credibility judgment method, so that high-throughput, high-coverage and high-accuracy traditional Chinese medicine component identification is realized. The method can be applied to single traditional Chinese medicine ingredient identification, compound traditional Chinese medicine ingredient analysis and traditional Chinese medicine related metabonomics analysis and identification, and a basis is provided for further research on traditional Chinese medicine active ingredients and clinical application thereof.

The invention relates to the technical field of analysis of material properties by using optical means, in particular to an HPLC metabonomics analysis-based curcuma aromatica quality evaluation method, which comprises the following steps: collecting a plurality of rhizome samples of the same curcuma aromatica in different growth stages, and obtaining HPLC chromatograms and common mode diagrams of all growth stages; carrying out difference analysis by combining the HPLC chromatograms and the common mode diagrams of the radix curcumae rhizome samples in different growth stages, and constructing an introduced radix curcumae growth quality evaluation model; and constructing an introduced radix curcumae growth quality evaluation model by utilizing the contribution degrees of the key metabolites in different growth stages to radix curcumae quality evaluation, so as to perform quality comparison evaluation on the growth process of the introduced radix curcumae. The method aims at optimizing traditional comprehensive growth quality evaluation in combination with key metabolites of the radix curcumae medicinal material in the growth process, and the reliability of an evaluation result is improved.

A system may receive a plurality of images that capture at least one cell having a complex shape, the plurality of images comprising first and second stained images. A system may receive a data matrix that represents a gene expression profile of the at least one cell. A system may combine the first and second stained images to create an overlay image. A system may analyze at least one of the second stained image or the overlay image to delineate a boundary of the at least one cell. A system may create a mask based on the boundary of the at least one cell in the at least one of the second stained image or the overlay image. A system may combine the mask and the data matrix to form a combined image for the at least one cell.

The invention discloses a method for carrying out single-objective optimization on plant tissue culture based on artificial intelligence, and relates to the field of plant tissue culture, and the method comprises the following steps: building a plant tissue culture environment, and collecting and preprocessing environmental parameters; metabonomics data of plant tissues are measured through mass spectrum and liquid chromatography analysis, and a single-target optimization culture target is set in combination with environmental parameters; based on the environmental parameters and the metabonomics data, constructing a metabonomics analysis model through a random forest algorithm, and extracting a preliminary optimization path; according to the preliminary optimization path, using a sparse optimization algorithm to minimize plant culture resources, and obtaining a minimum resource scheme; plant tissue culture is carried out by using a minimum resource scheme, environmental parameters and metabonomics data are continuously collected, and metabonomics analysis model parameters are updated. By comprehensively utilizing artificial intelligence, metabonomics and an optimization algorithm, intelligence and precision of plant tissue culture and efficient utilization of resources are improved.

The invention discloses a cardiovascular and cerebrovascular disease information management method and system, and relates to the technical field of genomics, and the method comprises the steps: collecting health information and a biological sample of a patient, and generating a health file; performing genomics analysis by using the generated health archive, and calculating a genetic risk score of the patient; according to the genetic risk score of the patient, microvascular lesion detection is carried out on the high-risk patient, microvascular anomaly indexes are quantified, and an individualized health risk score is generated; metabonomics analysis is carried out based on the health risk score, and the metabolic state and metabolic capability of the patient are evaluated; combining the metabolism assessment result, the genetic risk score and the health risk score to formulate an individualized intervention scheme; the problems of data isolation and intervention generalization in the prior art are solved, and powerful technical support is provided for early prevention and accurate management of cardiovascular and cerebrovascular diseases.

The invention belongs to the technical field of compound analysis and identification, and discloses application of a metabonomics analysis technology to identification of lycium seed oil. According to the metabonomics analysis technology, the characteristic components of the lycium seed oil are identified through Log2 Fold Channel and VIP values, and the screening conditions for identifying the characteristic components of the lycium seed oil are | Log2 Fold Channel | > 1.5, and VIP < gt >; the method specifically comprises the steps of sample preparation, non-targeted metabonomics analysis, extraction and identification of characteristic peaks, similarity analysis, difference analysis and screening of differential markers. According to the method, a non-targeted metabonomics analysis method is adopted, various metabolic components in the lycium barbarum seed oil can be undiscriminately covered, the limitation that a traditional identification technology only aims at a few indexes is broken through, the unique characteristic components of the lycium barbarum seed oil can be accurately screened out, and the accuracy and specificity of an identification result are greatly improved.

The invention relates to the technical field of forest tree hybridization, and discloses a forest tree hybridization parent precise matching method based on multi-omics analysis, which comprises the following steps: S1, obtaining multi-omics data: performing genome sequencing, transcriptome analysis, proteomics analysis and metabonomics analysis on forest tree population individuals; a plurality of omics data such as genetic variation sites, gene expression quantity, protein expression abundance and metabolite spectrums are obtained. According to the forest tree cross parent accurate matching method based on multi-omics analysis, forest tree genetic characteristics are analyzed comprehensively through multi-omics data, genomics, transcriptomics, proteomics and metabonomics data are deeply fused, genetic factors closely associated with target traits are accurately identified, and the accuracy of forest tree cross parent matching is improved. According to the method, the scientificity of parent matching in forest tree cross breeding on the molecular level is remarkably improved, the fuzziness and uncertainty of traditional judgment only according to phenotype and experience are abandoned from the source, the parent matching accuracy is greatly improved, and the breeding work is more targeted and efficient.

The invention provides an iron-based nano material, a preparation method and application, the material comprises magnetic iron oxide nano particles and a functional modification layer on the surface, the magnetic iron oxide nano particles are Fe3O4, the particle size is 10-30 nm, and the magnetic iron oxide nano particles have specific oxygen vacancy concentration, 337 nm laser absorptivity and saturation magnetization; the functional modification layer is an amino-containing polymer layer, such as a polydopamine or cysteine-polyethyleneimine copolymer, and can reduce salt ion interference. The material solves the problems of low molecular weight region background interference, non-uniform crystallization, low ionization efficiency, poor salt tolerance and the like during detection of 100-400Da small molecular metabolites in trace samples such as tears and the like by optimizing magnetic responsiveness, photo-thermal conversion capability and salt resistance of an existing matrix; the method realizes high sensitivity and high repeatability (detection), and is suitable for metabonomics analysis of trace biological samples.

The invention relates to the technical field of biological detection, and discloses a metabonomics-based caenorhabditis elegans compound pollutant exposure evaluation method which comprises the following specific steps: S1, constructing a compound pollutant exposure system; s2, carrying out nematode culture and exposure treatment; s3, extracting in-vivo metabolites of the nematodes; s4, carrying out metabonomics analysis; s5, carrying out bioinformatics analysis; and S6, verifying the combined toxicity effect. By establishing the metabonomics-based caenorhabditis elegans compound pollutant exposure evaluation method, the limitation of a traditional single pollutant evaluation system is broken through, and systematic and high-sensitivity detection of multi-pollutant combined toxicity is realized; in addition, by constructing a standardized composite exposure system and an efficient metabolite extraction process and combining multi-dimensional mass spectrum data and bioinformatics modeling, a synergistic, antagonistic or additive effect mechanism among pollutants is deeply analyzed from the molecular level.

The invention discloses a human body breathing gas metabonomics analysis method and system in a special environment, and relates to the technical field of biomedical detection.The method comprises the steps that breathing related parameters are collected in the special environment, a trained LSTM-based breathing recognition model is used for breathing recognition, and expiration stage gas is collected to serve as a detection sample; the method comprises the following steps: collecting metabolites of different movement levels and corresponding metabolite concentrations, carrying out characteristic screening by using a Double ML method, and screening out characteristic metabolites and corresponding concentrations; performing GC-MS detection on the detection sample to obtain the concentration of characteristic metabolites in the detection sample, and performing environmental compensation; and inputting the compensated characteristic metabolite concentration into the trained metabonomics analysis model to obtain a body state result. According to the invention, accurate analysis of human metabonomics can be realized in a special environment.

The invention relates to a biomarker for evaluating progression and prognosis of paraquat poisoning and application of the biomarker. The biomarker is a urine metabolite Inosine. Urine non-target metabonomics analysis shows that the level of the Inosine is low in urine of a patient suffering from early paraquat poisoning, is gradually reduced along with aggravation of the illness state and is remarkably increased in follow-up visit of five years; the prediction efficiency is judged according to the area (AUC) below the working characteristic (ROC) curve of a subject, the Anosine has good efficiency (AUC = 0.806) in judging the progression of paraquat poisoning, has good efficiency (AUC = 0.816) in judging the prognosis aspect in 1-4 days at the early stage of poisoning, and has excellent efficiency (AUC = 0.961) in judging the prognosis aspect in 7-14 days at the progression stage of poisoning. Moreover, the efficiency of the Inosine in predicting the progress and prognosis of paraquat poisoning is better than that of blood routine indexes (such as the number of leukocytes, the percentage of neutrophils and the percentage of lymphocytes) reported in the literature. In conclusion, as the biomarker for prognosis and prognosis of paraquat poisoning, the Inosine shows a good clinical application prospect.

The invention belongs to the technical field of biomedical detection and tumor molecular diagnosis, particularly relates to a plasma exosome metabolite, and further discloses a method for screening a prostatic malignant tumor biomarker based on plasma ultracentrifugation combined with liquid mass spectrometry metabonomics, and application of the method to preparation of the prostatic cancer biomarker. According to the method, the UC method for extracting the exosome and the LC-MS metabonomics analysis technology are organically combined, the high-efficiency advantage of UC in exosome purification can be fully played, precise detection and quantitative analysis of trace metabolites in the exosome can be achieved by means of an LC-MS platform, and then a characteristic metabonomics spectrogram is constructed.

The invention belongs to the technical field of chilled fresh pork storage, preservation and quality control, and discloses a metabonomics analysis-based chilled fresh pork preservation treatment mechanism evaluation method. According to the method, non-targeted analysis is carried out on the metabolic characteristics of the chilled fresh pork in different fresh-keeping treatment modes in a positive ion mode and a negative ion mode by utilizing a liquid chromatography-mass spectrometry technology in a storage period, and key differential metabolites are identified and are combined with pathway enrichment analysis; regulation and control characteristics of the compound on a plurality of paths of oxidation resistance, energy metabolism, flavor and the like are disclosed. And based on the metabolic characteristic change trend and the response mode thereof in the key pathway, establishing an evaluation model for comparing the influence of different preservation methods on the storage quality. The invention constructs a chilled fresh pork preservation effect analysis framework based on metabonomics, and can provide mechanism basis and technical support for optimization and evaluation of a preservation technology.

This invention relates to a method for compressing GC-HRMS fingerprint data, specifically for metabolomics analysis of plant, food essential oils, or biological samples. The method includes three steps: extraction of EICs, column isometry, and row isometry, which converts the data into an equal-row, equal-column matrix comparable to the original data, and then combines this with classical chemometric methods. This method overcomes the drawbacks of existing GC-HRMS fingerprints, such as their massive size and complexity, and is also applicable to LC-HRMS data. While the data compression method may sacrifice m / z accuracy, the peak intensities corresponding to each m / z range can be placed in their appropriate dictionary positions, ensuring accurate m / z readings in subsequent mass spectrometry. After row isometry, the retention time remains unchanged compared to the original data. Compared to existing ROI techniques, this data compression method offers significantly faster processing speeds.

The invention relates to the technical field of food characterization recognition and authentic identification, in particular to a characteristic difference metabolite composition of carthamus tinctorius from different producing areas and a screening method and application of the characteristic difference metabolite composition. The characteristic difference metabolite composition is selected from the group consisting of L-phenylalanine, L-citrulline, L-arginine, L-tyrosine, L-asparagine, L-aspartic acid, rutin, quercetin, quercitrin, kaempferol, baicalein, eriodictyol, isoquercitrin, kaempferol-3-O-glucoside, dihydrokaempferol, canthaxanthin, epicatechin, tryptamine and the like; the surfactant is selected from two or more of fumaric acid and betaine. The characteristic difference metabolite composition is obtained by screening through a screening method based on a metabonomics analysis technology, can be used for tracing the origin of safflower, is high in tracing accuracy and simple and convenient to operate, and has good economic benefits and social values.

The invention relates to the technical field of sorghum variety breeding, and discloses a sorghum variety breeding method for wine brewing, which comprises the following steps: determining quality, yield, resistance and adaptability targets, collecting and innovating sorghum germplasm through traditional and modern breeding technologies according to the targets, and producing new strain materials matched with the targets; performing agronomic character and basic physicochemical index evaluation on the new strain material, screening out standard strains, and performing metabonomics analysis and differential metabolite screening through UPLC-MS / MS to obtain candidate strains; carrying out regional and production tests on the screened candidate strains in multiple ecological regions to verify the yielding ability, the yield stability and the stress resistance of the candidate strains, and then carrying out accurate quality reinspection and Maotai-flavor liquor small-scale test brewing on the ecological adaptive strains to obtain the high-quality sorghum strain for special liquor. The method effectively solves the problems of aggravated plant diseases and insect pests, hybrid and degeneration of varieties, reduction of high yield performance and deterioration of quality caused by long-term single planting of mainstream varieties and lack of systematic purification and rejuvenation in the current production of the sorghum for wine.

The present invention discloses a method for single-target optimization of plant tissue culture based on artificial intelligence, which relates to the field of plant tissue culture, including: building a plant tissue culture environment, collecting environmental parameters and preprocessing; using mass spectrometry and liquid chromatography to analyze the metabolomics data of plant tissues, and setting a single-target optimization culture target in combination with environmental parameters; based on the environmental parameters and metabolomics data, constructing a metabolomics analysis model through a random forest algorithm, and extracting a preliminary optimization path; according to the preliminary optimization path, using a sparse optimization algorithm to minimize plant culture resources and obtain a minimum resource solution; using the minimum resource solution to culture plant tissues, continuously collecting environmental parameters and metabolomics data, and updating the metabolomics analysis model parameters. The present invention improves the intelligence, precision and efficient resource utilization of plant tissue culture by comprehensively utilizing artificial intelligence, metabolomics and optimization algorithms.

OF THE INVENTION USE OF INHIBITORS OF THE N-ACETYLASPARTATE SYNTHETASE FOR THE TREATMENT OF ACUTE MYELOID LEUKEMIAS Acute Myeloid Leukemias (AML) are characterized by the proliferation of immature blood cells, leading to suppression of normal hematopoiesis. Despite existing treatments, resistance and relapse are common. A metabolomic analysis revealed increased N-Acetyl-Aspartate (NAA) levels in leukemic cells compared to normal HSCs, with high NAA levels linked to poor prognosis. The inventors studied the gene NAT8L, responsible for NAA synthesis, and found correlations with patient survival. Using CRISPR-cas9, the inventors targeted NAT8L in AML cell lines and observed that NAA depletion improved response to treatments and increased survival in vivo. Inhibiting NAA synthetase thus represents a therapeutic strategy to enhance chemotherapy efficacy and prevent relapse in AML patients.

The invention discloses an anti-aging drug screening method based on metabonomics. Firstly, a group of biomarkers, including L-valine, 4-hydroxyproline, L-serine, L-leucine, L-proline and melatonin, which are closely related to the caenorhabditis elegans aging process are identified in the invention. On the basis, the invention provides a drug screening method which comprises the following steps: performing metabonomics analysis on the nematodes subjected to drug administration treatment, detecting the content change of the biomarker group, and if the content of the biomarker group has obvious callback (up-regulation) compared with that of an old control group, judging that the drug has a potential anti-aging effect. The technical defects that a traditional nematode life experiment is long in period, tedious in operation, low in flux, high in subjectivity and the like are overcome, and a new anti-aging drug screening strategy which is rapid, stable and efficient and can preliminarily reveal drug effects is provided.

The invention provides application of a group of plasma metabolism markers in preparation of a reagent product for pulmonary nodule diagnosis, and relates to the technical field of disease diagnosis reagents. The metabolic marker is prepared from trigonelline, 4-methylcatechol, 2, 4-dinitrophenol, 3, 4-dihydroxyphenylacetic acid, N-(2-furfuryl) glycine, mevalonic acid and formononetin, and the metabolic marker is prepared from the following raw materials: the trigonelline, the 4-methylcatechol, the 2, 4-dinitrophenol, the 3, 4-dihydroxyphenylacetic acid, the N-( According to the application, ultra-high performance liquid chromatography-high resolution mass spectrometry (UPLC / MS) is adopted to carry out metabonomics analysis on plasma samples before and after an early pulmonary nodule operation, and a group of plasma metabolites (trigonelline, 4-methylcatechol, 2, 4-dinitrophenol, 3, 4-dihydroxyphenylacetic acid, N-(2-furfuryl) glycine, mevalonic acid and formononetin) are identified; and the group of metabolites is utilized to form a diagnosis model, so that benign and malignant pulmonary nodules can be accurately diagnosed, and early-stage differential diagnosis and risk assessment are facilitated.

The invention relates to the technical field of metabonomics analysis, in particular to application of a metabolic marker in preparation of a head and neck squamous cell carcinoma diagnostic product, a kit, a screening method of the metabolic marker of the head and neck squamous cell carcinoma, a diagnostic model and a construction method and application of the diagnostic model. The metabolic marker comprises at least one of lactic acid, sphingosine, cadaverine, uridine diphosphate, allantoic acid, hydroxyproline, sphingosine-1-phosphoric acid, indole-3-acetaldehyde, pantothenic acid, fumaric acid, malic acid, prostaglandin or ornithine in red blood cells and / or plasma. The screened red blood cells and plasma metabolism markers can be used for predicting or diagnosing the head and neck squamous cell carcinoma respectively or independently, particularly, the red blood cell metabolism markers can provide more stable tumor microenvironment information, and the metabolism stability is high and is not easily influenced by diet and circadian rhythm.

Described herein are blood-based metabolites and metabolic signatures informative for distinguishing between healthy controls and early stage breast cancer (e.g., stage I or stage II), stage I breast cancer, stage II breast cancer, stage III breast cancer, ductal carcinoma (e.g., stage I or stage II), lobular carcinoma (e.g., stage I or stage II), and luminal breast cancer (e.g., luminal A).

The invention discloses a method for preventing and treating fusarium oxysporum by using trans-cinnamic acid and palmitic acid, and belongs to the technical field of biological prevention and treatment of plant diseases. The bacillus subtilis B579 and the fusarium oxysporum (FOC) are co-cultured to induce bacteriostatic metabolites, key bacteriostatic metabolites including trans-cinnamic acid (CA) and palmitic acid (PA) are screened out through metabonomics analysis, the optimal bacteriostatic concentration of the key bacteriostatic metabolites is determined to be 50, and the bacteriostatic effect is achieved by destroying the completeness of cell membranes of pathogenic bacteria and initiating membrane lipid peroxidation. The invention further provides a biological agent containing CA and PA and an application method, greenhouse pot experiment verifies that the prevention and control effects on cucumber fusarium wilt respectively reach 67.58% (CA) and 47.29% (PA), the environmental compatibility is excellent, and an efficient and safe prevention and control scheme is provided for sustainable development of the facility cucumber industry.

The invention discloses a method for enhancing the synthetic ability of yeast total protein and dipeptide tripeptide. Relates to the technical field of synthetic biology and metabolic engineering. According to the invention, the saccharomyces cerevisiae engineering strain with high protein synthesis capability and high endogenous dipeptide and tripeptide accumulation level is successfully constructed. The metabonomics analysis reveals the unique peptide fragment accumulation spectrum, especially the generation of a large amount of lysine-rich tripeptide at the C terminal, and proposes a potential mechanism of metabolic pathway'bottleneck 'caused by peptidase activity down-regulation in combination with proteome data. The recombinant strain has important application potential in the fields of single-cell protein, functional peptide products and the like.

A method for metabolomic profiling of a holobiont comprises the steps of subjecting a sample from a holobiont to chromatography-tandem mass spectrometry to acquire sets of experimental mass spectra, matching the sets of experimental mass spectra against library mass spectra of known metabolites to identify likely candidate metabolites in the holobiont sample, calculating predicted mass spectrometry fragmentation patterns and / or predicted chromatographic retention times and / or predicted collision cross sections for likely candidate metabolites, matching the sets of experimental mass spectra against the predicted mass spectrometry fragmentation patterns and / or predicted chromatographic retention times and / or predicted collision cross sections, and using a similarity metric to quantify the relationship between the experimental mass spectra and the library spectra candidates, predicted mass spectra candidates, and predicted chromatographic retention times and / or collision cross sections to rank the candidates by their combined relationship to the experimental signals in order to identify metabolites present in the holobiont sample.

The application provides a screening method for a wheat seed storage-related gene, and belongs to the field of agricultural biotechnology.The screening method comprises the following steps: 1) subjecting seeds of a storage-tolerant variety N38 and a storage-intolerant variety N5 to artificial aging treatment, taking the seed embryos after germination; 2) subjecting the seed embryos to metabolomics analysis to obtain differential metabolites; 3) extracting total RNA of the seed embryos, performing transcriptome sequencing, and screening candidate differential expression genes; and 4) screening the candidate differential expression genes associated with the obtained differential metabolites to obtain final screening differential expression genes.The application subjects known storage-tolerant and storage-intolerant wheat varieties to artificial aging, performs metabolomics detection and transcriptome sequencing, screens differential metabolites and candidate differential expression genes, and further analyzes to obtain a wheat seed storage-related gene, thereby providing key gene resources and technical support for wheat storage-tolerant molecular breeding.