PubMed

The synergistic mechanism of total saponins and flavonoids in Notoginseng-Safflower pair against myocardial ischemia uncovered by an integrated metabolomics strategy. Biomed Pharmacother. 2020 Jul 30;130:110574 Authors: Meng Y, Du Z, Li Y, Gao P, Song J, Lu Y, Tu P, Jiang Y, Guo X Abstract The Notoginseng-Safflower pair composed of Panax notoginseng (Burk.) F. H. Chen and Carthamus tinctorius L. has remarkable clinical efficacy for preventing and treating cardiovascular diseases in China. Notoginseng total saponins (NS) and Safflower total flavonoids (SF) are the major effective ingredients in Notoginseng and Safflower, respectively. Though our previous study showed that the combination of NS and SF (NS-SF) exhibits significant cardioprotective effects for myocardial ischemia (MI), there might be difference in their action mechanisms. However, the anti-MI characteristics of individual NS and SF remains unclear. Herein, an integrated metabolomics strategy coupled with multiple biological methods were employed to investigate the cardioprotective effects of NS and SF alone or in combination against isoproterenol (ISO)-induced MI and to further explore the synergistic relationship between NS and SF. Our results demonstrated that pretreatments with NS, SF, and NS-SF all showed cardioprotective effects against MI injury and NS-SF exhibited to be the best. Interestingly, the results demonstrated that NS and SF exhibited differentiated metabolic targets and mediators in the glycerophospholipid metabolism. Furthermore, administration of NS alone exhibited greater effects on reversing the elevated the proinflammatory metabolites and mediators in MI rats compared to SF alone. However, individual SF showed greater amelioration of MI-disturbed antioxidant and prooxidative metabolites and better inhibition of the oxidative stress than NS alone. Collectively, our study demonstrated that the capability of NS-SF to regulate both metabolic targets of NS and SF might be the basis of NS-SF to produce a cooperative effect greater than their individual effects that enhance the anti-MI efficacy and provided valuable information for the clinical application of Notoginseng-Safflower pair. PMID: 32739736 [PubMed - as supplied by publisher]

Effects of the Suxiao Jiuxin pill on acute myocardial infarction assessed by comprehensive metabolomics. Phytomedicine. 2020 Jul 25;77:153291 Authors: Wu G, Zhong J, Chen L, Gu Y, Hong Y, Ma J, Zheng N, Liu AJ, Sheng L, Zhang W, Li H Abstract BACKGROUND: SJP is the commercial Chinese medicine included in the Chinese Pharmacopoeia, with well-established cardiovascular protective effects in the clinic. However, the mechanisms underlying the protective effects of SJP on cardiovascular disease have not yet been clearly elucidated. AIMS: To investigate the underlying protective mechanisms of SJP in an acute myocardial infarction (AMI) rat model using comprehensive metabolomics. MATERIALS AND METHODS: The rat model of AMI was generated by ligating the left anterior descending coronary artery. After 2 weeks treatment with SJP, the entire metabolic changes in the serum, heart, urine and feces of the rat were profiled by HPLC-QTOF-MS/MS. RESULTS: The metabolic profiles in different biological samples (heart, serum, urine and feces) were significantly different among groups, in which a total of 112 metabolites were identified. AMI caused comprehensive metabolic changes in amino acid metabolism, galactose metabolism and fatty acid metabolism, while SJP reversed more than half of the differential metabolic changes, mainly affecting amino acid metabolism and fatty acid metabolism. Correlation analysis found that SJP could significantly alter the metabolic activity of 12 key metabolites, regarded as potential biomarkers of SJP treatment. According to the results of network analysis, 6 biomarkers were considered to be hub metabolites, which means that these metabolites may have a major relationship with the SJP therapeutic effects on AMI. CONCLUSION: The combined comprehensive metabolomics and network analysis, indicated that the protective effect of SJP on cardiovascular disease was associated with systemic metabolic modulation, in particular regulation of amino acid and fatty acid metabolism. PMID: 32739572 [PubMed - as supplied by publisher]

EARLY PREGNANCY METABOLITES PREDICT GESTATIONAL DIABETES MELLITUS: IMPLICATIONS FOR FETAL PROGRAMMING. Am J Obstet Gynecol. 2020 Jul 30;: Authors: Koos BJ, Gornbein JA Abstract BACKGROUND: Aberrant fetal programming in gestational diabetes (GDM) appears to increase the risk for obesity, type 2 diabetes, and cardiovascular disease. The inability to identify accurately GDM in the first trimester has thwarted ascertaining whether early therapeutic interventions reduce the predisposition to these prevalent medical disorders. OBJECTIVE: A metabolomics study was conducted to determine whether advanced analytical methods could identify accurate predictors of GDM in early pregnancy. STUDY DESIGN: This nested, observational case-control study comprised 46 GDM and 46 control (CON) gravidas in early gestation who were matched by maternal age, body mass index (BMI), and gestational age at urine collection. GDM was diagnosed according to community standards. A comprehensive metabolomics platform measured 626 endogenous metabolites in randomly collected urine. Consensus multivariate criteria or most important by one method identified low-molecular weight metabolites independently associated with GDM, and a classification tree selected a subset most predictive of GDM. RESULTS: Urine for both groups was collected at a mean gestational age of 12 weeks (range: 6-19 weeks). Consensus multivariate analysis identified 11 metabolites independently linked to GDM. Classification tree analysis selected a seven-metabolite subset that predicted GDM with an accuracy of 96.7%, independent of maternal age, BMI, and time of urine collection. CONCLUSION: Validation of this high-accuracy model by a larger study is now needed to support future studies to determine whether first-trimester therapeutic interventions in GDM reduce short- and long-term morbidity. PMID: 32739399 [PubMed - as supplied by publisher]

Tracking the potential involvement of metabolic disease in Alzheimer's disease-Biomarkers and beyond. Int Rev Neurobiol. 2020;154:51-77 Authors: Luchsinger JA, Zetterberg H Abstract There is a vast literature linking systemic metabolic conditions to dementia due to Alzheimer's disease (AD). Advances in in vivo measurements of AD neuropathology using brain imaging, cerebrospinal fluid (CSF), and/or blood biomarkers have led to research in AD that uses in vivo biomarkers as outcomes, focusing primarily on amyloid, tau, and neurodegeneration as constructs. Studies of Type 2 Diabetes Mellitus (T2DM) and AD biomarkers seem to show that T2DM is not related to amyloid deposition, but is related to neurodegeneration and tau deposition. There is a dearth of studies examining adiposity, insulin resistance, and metabolic syndrome in relation to AD biomarkers and the associations in these studies are inconsistent. Metabolomics studies have reported associations of unsaturated fatty acids with AD neuropathology at autopsy, and sphingolipids and glycerophospholipids in relation to neurodegeneration and amyloid and tau. There are other neurodegenerative diseases, such as Lewy body disease that may overlap with AD, and specific biomarkers for these pathologies are being developed and should be integrated into AD biomarker research. More longitudinal studies are needed with concurrent assessment of metabolic factors and AD biomarkers in order to improve the opportunity to assess causality. Ideally, AD biomarkers should be integrated into clinical trials of interventions that affect metabolic factors. Advances in blood-based AD biomarkers, which are less costly and invasive compared with CSF and brain imaging biomarkers, could facilitate widespread implementation of AD biomarkers in studies examining the metabolic contribution to AD. PMID: 32739014 [PubMed - as supplied by publisher]

Elucidation of metabolic responses in mud crab Scylla paramamosain challenged to WSSV infection by integration of metabolomics and transcriptomics. Dev Comp Immunol. 2020 Jul 29;:103799 Authors: Kong T, Ren X, Lin S, Li S, Gong Y Abstract White spot syndrome virus (WSSV) is a severe pathogen of mud crab Scylla paramamosain (S. paramamosain). Hemolymph, containing three types of hemocytes, is the key immunoregulatory tool of mud crab in response to pathogens. Herein, the metabonomics and transcriptomics analysis of hemocytes were adopted to investigate the immune response of S. paramamosain challenged to WSSV. We established the metabolic and transcriptional profiles of mud crab hemocytes with different treatments, including the control group (WT), WSSV early infected group (WSSV-6 h) and WSSV later infected group (WSSV-72 h). The results showed that 68 metabolites were dysregulated both in WSSV-infected mud crab of early stage and later stage, while 4452 genes were up-regulated and 9746 genes were down-regulated in WSSV-6 h, and 2016 genes were up-regulated and 6229 genes were down-regulated compared in WSSV-72 h. We found that several pathways were dysregulated at both metabolic and transcriptional levels, including ABC transporters, purine metabolism,taurine and hypotaurine metabolism in the WSSV early infected group, cysteine metabolism,methionine metabolism and biosynthesis of unsaturated fatty acids in the WSSV later infected group. In this context, through the integration of metabolomics and transcriptomics, our study provided a more comprehensive understanding of the biological process in mud crab against viral invasion. PMID: 32738334 [PubMed - as supplied by publisher]

Irreversible alterations in the hemoglobin structure affect oxygen binding in human packed red blood cells. Biochim Biophys Acta Mol Cell Res. 2020 Jul 29;:118803 Authors: Szczesny-Malysiak E, Dybas J, Blat A, Bulat K, Kus K, Kaczmarska M, Wajda A, Malek K, Chlopicki S, Marzec KM Abstract The ability of hemoglobin (Hb) to transport respiratory gases is directly linked to its quaternary structure properties and reversible changes between T (tense) and R (relax) state. In this study we demonstrated that packed red blood cells (pRBCs) storage resulted in a gradual increase in the irreversible changes in the secondary and quaternary structures of Hb, with subsequent impairment of the T↔R transition. Such alteration was associated with the presence of irreversibly settled in the relaxed form, quaternary structure of Hb, which we termed R'. On the secondary structure level, disordered protein organization, involved formation of β-sheets and a decrease in α-helices related to the aggregation process stabilized by strong intermolecular hydrogen bonding. Compensatory changes in RBCs metabolism launched to preserve reductive microenvironment were disclosed as an activation of nicotinamide adenine dinucleotide phosphate (NADPH) production and increased reduced to oxidized glutathione (GSH/GSSG) ratio. For the first time we showed the relationship between secondary structure changes and the occurrence of newly discovered R', which through an artificial increase in oxyhemoglobin level altered Hb ability to bind and release oxygen. PMID: 32738251 [PubMed - as supplied by publisher]

Evaluating line-broadening factors on a reference spectrum as a bucketing method for NMR based metabolomics. Anal Biochem. 2020 Jul 29;:113872 Authors: Wang B, Maldonado-Devincci AM, Jiang L Abstract Metabolomics based nuclear magnetic resonance (NMR) is widely used in disease mechanism analysis and drug discovery. One of the most important factors in NMR based metabolomics study is the accuracy of spectra bucketing which plays a critical role in data interpretation. Though various methods have been developed for automatic bucketing, the most popular approach is still the traditional rectangular bucketing method which is mainly due to the requirement of user expertise for the automatic bucketing methods. In this study, we developed a new automatic bucketing method that not only efficiently increases peak bucketing accuracy but also allows the bucketing process to be conveniently visualized and adjusted by the end-users. This method applied the line broadening (lb) factor to the average spectrum for a study set which serves as the reference spectrum, and the peak width of the reference spectrum was then set as the peak bucketing pattern. The approach to pick the bucket boundaries is simple but powerful after the line broadening factor was applied. The line broadening factors from 0 to 2 l b were tested using mouse fecal samples and the 1 l b method showed similar peak patterns and data interpretation results compared with a careful manual bucketing pattern. Besides this, the new method generated bucketing patterns could be easily visualized using the Amix software and revised by general users without excessive data science and NMR instrumentation expertise. In summary, our study showed a powerful and convenient tool in NMR peak auto bucketing with flexible visualization and adjustment ability for metabolomics studies. PMID: 32738215 [PubMed - as supplied by publisher]

Related Articles Prenatal Exposure to Perfluoroalkyl Substances Associated with Increased Susceptibility to Liver Injury in Children. Hepatology. 2020 Aug 01;: Authors: Stratakis N, Conti DV, Jin R, Margetaki K, Valvi D, Siskos AP, Maitre L, Garcia E, Varo N, Zhao Y, Roumeliotaki T, Vafeiadi M, Urquiza J, Fernández-Barrés S, Heude B, Basagana X, Casas M, Fossati S, Gražulevičienė R, Andrušaitytė S, Uppal K, McEachan RR, Papadopoulou E, Robinson O, Haug LS, Wright J, Vos MB, Keun HC, Vrijheid M, Berhane KT, McConnell R, Chatzi L Abstract BACKGROUND & AIMS: Per- and polyfluoroalkyl substances (PFAS) are widespread and persistent pollutants that have been shown to have hepatotoxic effects in animal models. However, human evidence is scarce. We evaluated how prenatal exposure to PFAS associates with established serum biomarkers of liver injury and alterations in serum metabolome in children. APPROACH & RESULTS: We used data from 1105 mothers and their children (median age 8.2 years, IQR 6.6-9.1) from the European Human Early-Life Exposome (HELIX) cohort (consisting of six existing population-based birth cohorts in France, Greece, Lithuania, Norway, Spain, and the UK). We measured concentrations of perfluorooctane sulfonate (PFOS), perfluorooctanoate (PFOA), perfluorononanoate (PFNA), perfluorohexane sulfonate (PFHxS), and perfluoroundecanoate (PFUnDA) in maternal blood. We assessed concentrations of alanine aminotransferase, aspartate aminotransferase, and gamma-glutamyltransferase in child serum. Using Bayesian Kernel Machine regression, we found that higher exposure to PFAS during pregnancy was associated with higher liver enzyme levels in children. We also measured child serum metabolomics through a targeted assay and found significant perturbations in amino acid and glycerophospholipid metabolism associated with prenatal PFAS. A latent variable analysis identified a profile of children at high risk of liver injury (OR 1.56, 95% CI 1.21-1.92) that was characterized by high prenatal exposure to PFAS and increased serum levels of branched-chain amino acids (valine, leucine, isoleucine), aromatic amino acids (tryptophan and phenylalanine), and glycerophospholipids (phosphatidylcholine PC aa C36:1 and Lyso-PC a C18:1). CONCLUSIONS: Developmental exposure to PFAS can contribute to pediatric liver injury. PMID: 32738061 [PubMed - as supplied by publisher]

Related Articles Can we trust biomarkers identified using different non-targeted metabolomics platforms? Multi-platform, inter-laboratory comparative metabolomics profiling of lettuce cultivars via UPLC-QTOF-MS. Metabolomics. 2020 Jul 31;16(8):85 Authors: García CJ, Yang X, Huang D, Tomás-Barberán FA Abstract INTRODUCTION: Data analysis during UPLC-MS non-targeted metabolomics introduces variation as different manufacturers use specific algorithms for data treatment and this makes untargeted metabolomics an application for the discovery of new biomarkers with low confidence in the reproducibility of the results under the use of different metabolomics platforms. OBJECTIVES: This study compared the ability of two platforms (Agilent UPLC-ESI-QTOF-MS and Waters UPLC-IMS-QTOF-MS) to identify biomarkers in butterhead and romaine lettuce cultivars. METHODS: Two case studies by different metabolomics platforms: (1) Waters and Agilent datasets processed by the same data pre-processing software (Progenesis QI), and (2) Datasets processed by different data pre-processing software. RESULTS: A higher number of candidate biomarkers shared between sample groups in case 2 (101) than in case 1 (26) was found. Thirteen metabolites were common to both cases. Romaine lettuce was characterised by phenolic compounds including flavonoids, hydroxycinnamate derivatives, and 9-undecenal, while Butterhead showed sesquiterpene lactones and xanthosine. This study demonstrates that high percentages of the most discriminatory entities can be obtained by using the manufacturers' embedded pre-processing software and following the recommended processing data guidelines using commercial software to normalise the data matrix. PMID: 32737683 [PubMed - as supplied by publisher]

Related Articles Contribution of anthocyanin pathways to fruit flesh coloration in pitayas. BMC Plant Biol. 2020 Jul 31;20(1):361 Authors: Fan R, Sun Q, Zeng J, Zhang X Abstract BACKGROUND: Color formation in Hylocereus spp. (pitayas) has been ascribed to the accumulation of betalains. However, several studies have reported the presence of anthocyanins in pitaya fruit and their potential role in color formation has not yet been explored. In this study, we profiled metabolome and transcriptome in fruit of three cultivars with contrasting flesh colors (red, pink and white) to investigate their nutritional quality and the mechanism of color formation involving anthocyanins. RESULTS: Results revealed that pitaya fruit is enriched in amino acid, lipid, carbohydrate, polyphenols, vitamin and other bioactive components with significant variation among the three cultivars. Anthocyanins were detected in the fruit flesh and accumulation levels of Cyanidin 3-glucoside, Cyanidin 3-rutinoside, Delphinidin 3-O-(6-O-malonyl)-beta-glucoside-3-O-beta-glucoside and Delphinidin 3-O-beta-D-glucoside 5-O-(6-coumaroyl-beta-D-glucoside) positively correlated with the reddish coloration. Transcriptome data showed that the white cultivar tends to repress the anthocyanin biosynthetic pathway and divert substrates to other competing pathways. This perfectly contrasted with observations in the red cultivar. The pink cultivar however seems to keep a balance between the anthocyanin biosynthetic pathway and the competing pathways. We identified several active transcription factors of the MYB and bHLH families which can be further investigated as potential regulators of the anthocyanin biosynthetic genes. CONCLUSIONS: Collectively, our results suggest that anthocyanins partly contribute to color formation in pitaya fruit. Future studies aiming at manipulating the biosynthetic pathways of anthocyanins and betalains will better clarify the exact contribution of each pathway in color formation in pitayas. This will facilitate efforts to improve pitaya fruit quality and appeal. PMID: 32736527 [PubMed - as supplied by publisher]

21 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/08/01PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

22 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/07/31PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

25 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/07/30PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

27 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/07/29PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

82 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/07/28PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

82 new pubmed citations were retrieved for your search. Click on the search hyperlink below to display the complete search results: metabolomics These pubmed results were generated on 2020/07/28PubMed comprises more than millions of citations for biomedical literature from MEDLINE, life science journals, and online books. Citations may include links to full-text content from PubMed Central and publisher web sites.

Related Articles Identification of metabolic markers in patients with type 2 Diabetes Mellitus by Ultrafast gas chromatography coupled to electronic nose. A pilot study. Biomed Chromatogr. 2020 Jul 24;:e4956 Authors: Méndez-Rodríguez KB, Figueroa-Vega N, Ilizaliturri Hernandez CA, Cardona-Alvarado M, Borjas García JA, Kornhauser C, Malacara JM, Flores-Ramírez R, Pérez-Vázquez FJ Abstract Metabolomics is a potential tool for the discovery of new biomarkers in the early diagnosis of diseases. An ultra-fast gas chromatography system equipped to an electronic nose detector (FGC eNose) was used to identify the metabolomic profile of Volatile Organic Compounds (VOCs) in type 2 diabetes (T2D) urine from Mexican population. A cross-sectional, comparative, and clinical study with translational approach was performed. We recruited twenty T2D patients and twenty-one healthy subjects. Urine samples were taken and analyzed by FGC eNose. Eighty-eight compounds were identified through Kovats's indexes. A natural variation of 30% between the metabolites, expressed by study groups, was observed in Principal Component 1 and 2 with a significant difference (p<0.001). The model, performed through a Canonical Analysis of Principal coordinated (CAP), allowed a correct classification of 84.6% between healthy and T2D patients, with a 15.4% error. The metabolites 2-propenal, 2-propanol, butane- 2,3-dione and 2-methylpropanal, were increased in patients with T2D, and they were strongly correlated with discrimination between clinically healthy people and T2D patients. This study identified metabolites in urine through FGC eNose that can be used as biomarkers in the identification of T2D patients. However, more studies are needed for its implementation in clinical practice. PMID: 32706910 [PubMed - as supplied by publisher]

Related Articles Bioinformatics-assisted, integrated omics studies on medicinal plants. Brief Bioinform. 2019 Nov 18;: Authors: Ma X, Meng Y, Wang P, Tang Z, Wang H, Xie T Abstract The immense therapeutic and economic values of medicinal plants have attracted increasing attention from the worldwide researchers. It has been recognized that production of the authentic and high-quality herbal drugs became the prerequisite for maintaining the healthy development of the traditional medicine industry. To this end, intensive research efforts have been devoted to the basic studies, in order to pave a way for standardized authentication of the plant materials, and bioengineering of the metabolic pathways in the medicinal plants. In this paper, the recent advances of omics studies on the medicinal plants were summarized from several aspects, including phenomics and taxonomics, genomics, transcriptomics, proteomics and metabolomics. We proposed a multi-omics data-based workflow for medicinal plant research. It was emphasized that integration of the omics data was important for plant authentication and mechanistic studies on plant metabolism. Additionally, the computational tools for proper storage, efficient processing and high-throughput analyses of the omics data have been introduced into the workflow. According to the workflow, authentication of the medicinal plant materials should not only be performed at the phenomics level but also be implemented by genomic and metabolomic marker-based examination. On the other hand, functional genomics studies, transcriptional regulatory networks and protein-protein interactions will contribute greatly for deciphering the secondary metabolic pathways. Finally, we hope that our work could inspire further efforts on the bioinformatics-assisted, integrated omics studies on the medicinal plants. PMID: 32706024 [PubMed - as supplied by publisher]

Related Articles Comparative analysis of metabolites in liver of Muscovy duck at different egg-laying stages using nontargeted UPLC-MS based metabolomics. J Proteome Res. 2020 Jul 23;: Authors: Zhu W, Liu L, Yang W, Wei C, Geng Z, Chen X Abstract Liver plays an important physiological function in the synthesis of yolk materials during egg laying in bird. Liver metabolite profiles of Muscovy ducks at different egg-laying stages from the perspective of nontargeted metabolomics were analyzed in this study. Twelve Muscovy ducks were selected at pre-laying (22wk, TT group), laying (40wk, FT group) and post-laying (60wk, ST group) stages, resulted in thirty-six hepatic metabolite profiles by using ultra-high performance liquid chromatography-electrospray mass spectrometry (UPLC-MS). A total of 324 differential metabolites (156 increased and 168 decreased) in FT as compared to TT (FT/TT) group and 332 differential metabolites (120 increased and 212 decreased) in ST as compared to FT (ST/FT) group were screened out. Metabolic pathways enriched in FT/TT group and ST/FT group were mainly amino acid metabolism, glycerophospholipid metabolism, nucleotide metabolism, and vitamin metabolism. The amino acid metabolism pathways were up-regulated in FT/TT group and down-regulated in ST/FT group (P<0.05). The glutathione and ascorbic acid abundance were down-regulated and the choline abundance was up-regulated during egg laying (P<0.05). The liver provides amino acids, lipids, nucleotides, vitamins, and choline, etc, essential materials for yolk precursor synthesis. The decrease in the abundance of glutathione and ascorbic acid indicate that Muscovy ducks might be in a relatively stable physiological state during egg laying. PMID: 32705871 [PubMed - as supplied by publisher]

Related Articles Research Progress of Metabolomics in Forensic Pathology. Fa Yi Xue Za Zhi. 2020 Jun;36(3):347-353 Authors: Du TS, Mengxi MM, Ye X, Tu CY, Jin KD, Chen SW, Liu NG, Xie JH, Shen YW Abstract Abstract: Metabolomics is an interdisciplinary subject that rose in the post-genomic era, which focuses on quantitative study of the response of living organisms to outside stimulation and pathophysiological changes, as well as multiple dynamic response of the level of in vivo metabolites caused by genetic mutation. It is extensively used in basic research of system biology, materia medica, clinical medicine, etc. In the forensic field, metabolomics mainly focuses on forensic toxicology, but with the generalization of certain techniques, it's foreseeable that metabolomics has a broad research prospect in forensic pathology. This article summarizes the major analysis techniques and methods of metabolomics, describes the research status of metabolomic techniques in the field of forensic pathology application research, including postmortem interval and death cause. Moreover, this article summarizes and discusses the potential applicable areas, in order to provide reference for relative research and application. PMID: 32705848 [PubMed - in process]