A method of GC-MS analysis of serum metabolites
Archives of Advances in Biosciences,
Vol. 9 No. 1 (2018),
25 December 2017
Metabolites are the intermediate and natural low molecular weight products of metabolic reactions that naturally occur within cells. Metabolomics is a post-genomics study that analyzes metabolic profile in all biological samples. Gas chromatography-mass spectrometry (GC-MS) is a powerful technique that detects volatile components. In this study we evaluate the metabolite profile of serum with a simple method for derivatization. The metabolic profile of serum taken from 16 rats was analyzed using GC-MS after protein precipitation with acetonitrile. Then, it was derivatized with a method requiring the less number and volume of materials. Acquisition chromatograms were pre-processed and analyzed using National Institute of Standards and Technology (NIST) library. We detected 35 metabolites with probability of >60% perfect match according to spectrum fragments analysis by NIST library.This study represents the metabolome profile of serum instead the change of metabolites that can be evaluated by a simple derivatization method.
How to Cite
Krumsiek J, Bartel J, Theis FJ. Computational approaches for systems metabolomics. Current opinion in biotechnology. 2016;39:198-206.
Madji Hounoum B, Blasco H, Nadal-Desbarats L, Dieme B, Montigny F, Andres CR, et al. Analytical methodology for metabolomics study of adherent mammalian cells using NMR, GC-MS and LC-HRMS. Analytical and bioanalytical chemistry. 2015;407(29):8861-72.
Trushina E, Mielke MM. Recent advances in the application of metabolomics to Alzheimer's Disease. Biochimica et biophysica acta. 2014;1842(8):1232-9.
Zhang A, Sun H, Yan G, Wang P, Wang X. Metabolomics for Biomarker Discovery: Moving to the Clinic. BioMed research international. 2015;2015:354671.
Catherman AD, Skinner OS, Kelleher NL. Top Down proteomics: facts and perspectives. Biochemical and biophysical research communications. 2014;445(4):683-93.
Jutley GS, Young SP. Metabolomics to identify biomarkers and as a predictive tool in inflammatory diseases. Best practice & research Clinical rheumatology. 2015;29(6):770-82.
Zhou X, Wang Y, Yun Y, Xia Z, Lu H, Luo J, et al. A potential tool for diagnosis of male infertility: Plasma metabolomics based on GC-MS. Talanta. 2016;147:82-9.
Zhao L, Huang Y, Hu J, Zhou H, Adeleye AS, Keller AA. (1)H NMR and GC-MS Based Metabolomics Reveal Defense and Detoxification Mechanism of Cucumber Plant under Nano-Cu Stress. Environmental science & technology. 2016;50(4):2000-10.
Nobakht BF, Aliannejad R, Rezaei-Tavirani M, Arefi Oskouie A, Naseri MT, Parastar H, et al. NMR- and GC/MS-based metabolomics of sulfur mustard exposed individuals: a pilot study. Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals. 2016:1-11.
Lv MY, Sun JB, Wang M, Fan HY, Zhang ZJ, Xu FG. Comparative analysis of volatile oils in the stems and roots of Ephedra sinica via GC-MS-based plant metabolomics. Chinese journal of natural medicines. 2016;14(2):133-40.
Agius L. Hormonal and Metabolite Regulation of Hepatic Glucokinase. Annual review of nutrition. 2016.
Coutinho ID, Baker JM, Ward JL, Beale MH, Creste S, Cavalheiro AJ. Metabolite profiling of sugarcane genotypes and identification of flavonoid glycosides and phenolic acids. Journal of agricultural and food chemistry. 2016.
Gosselin NH, Mouksassi MS, Lu JF, Hsu CP. Population pharmacokinetic modeling of motesanib and its active metabolite, M4, in cancer patients. Clinical pharmacology in drug development. 2015;4(6):463-72.
Raeside JI. A stable epoxide as a potential endogenous estrogen metabolite: Possible significance in breast cancer? Medical hypotheses. 2016;91:37-41.
Fearnley LG, Inouye M. Metabolomics in epidemiology: from metabolite concentrations to integrative reaction networks. International journal of epidemiology. 2016.
Escalona EE, Leng J, Dona AC, Merrifield CA, Holmes E, Proudman CJ, et al. Dominant components of the Thoroughbred metabolome characterised by (1) H-nuclear magnetic resonance spectroscopy: A metabolite atlas of common biofluids. Equine veterinary journal. 2015;47(6):721-30.
Banoei MM, Donnelly SJ, Mickiewicz B, Weljie A, Vogel HJ, Winston BW. Metabolomics in critical care medicine: a new approach to biomarker discovery. Clinical and investigative medicine Medecine clinique et experimentale. 2014;37(6):E363-76.
Choe S, Woo SH, Kim DW, Park Y, Choi H, Hwang BY, et al. Development of a target component extraction method from GC-MS data with an in-house program for metabolite profiling. Analytical biochemistry. 2012;426(2):94-102.
Eloh K, Demurtas M, Deplano A, Ngoutane Mfopa A, Murgia A, Maxia A, et al. In vitro nematicidal activity of aryl hydrazones and comparative GC-MS metabolomics analysis. Journal of agricultural and food chemistry. 2015;63(45):9970-6.
Mahdavi V, Ghanati F, Ghassempour A. Integrated pathway-based and network-based analysis of GC-MS rice metabolomics data under diazinon stress to infer affected biological pathways. Analytical biochemistry. 2016;494:31-6.
Wang DC, Sun CH, Liu LY, Sun XH, Jin XW, Song WL, et al. Serum fatty acid profiles using GC-MS and multivariate statistical analysis: potential biomarkers of Alzheimer's disease. Neurobiology of aging. 2012;33(6):1057-66.
Ugarte M, Brown M, Hollywood KA, Cooper GJ, Bishop PN, Dunn WB. Metabolomic analysis of rat serum in streptozotocin-induced diabetes and after treatment with oral triethylenetetramine (TETA). Genome medicine. 2012;4(4):35.
Sun L, Li J, Zhou K, Zhang M, Yang J, Li Y, et al. Metabolomic analysis reveals metabolic disturbance in the cortex and hippocampus of subchronic MK-801 treated rats. PLoS One. 2013;8(4):e60598.
- Abstract Viewed: 609 times
- PDF Downloaded: 103 times