title: [Metabonomic profiling of plasma metabolites in Wistar rats to study the effect of aging by means of GC/TOFMS-based techniques].
abstract: The global metabolite profiles of endogenous compounds of Wistar rats from 12 to 20 weeks old were investigated to take deep insight into and get better understanding of the pathogenesis of development and aging. Plasma from Wistar rats at 12, 14, 16, 18, and 20 weeks old were analyzed using GC/TOFMS. Multivariate data analysis was then used to process the metabonomic data which indicated excellent separation between different weeks and showed that the metabolic profiles of the samples changed with age, enabling age-related metabolic trajectories to be visualized. Decreased concentrations of citric acid, cis-aconitic acid, 9-(z)-hexadecenoic acid along with increased levels of hexanedioic acid, alpha-tocopherol, 3-indole propionic acid, etc contributed to the separation. Several major metabolic pathways were identified to be involved in metabolic regulation. This suggests that GC/TOFMS-based metabonomics is a powerful alternative approach to identifying potential biomarkers and investigating the physiological developments of aging and it is important to employ suitable age-match control group in metabonomic study of physiological monitoring, drug safety assessment, and disease diagnosis, etc.
authors.affiliation: Jiangsu Institute for Food and Drug Control, Nanjing 210008, China.
authors.forename: Qing
authors.initials: Q
authors.lastname: Huang
authors.forename: Yi-Hong
authors.initials: YH
authors.lastname: Lu
authors.forename: Guang-Ji
authors.initials: GJ
authors.lastname: Wang
authors.forename: Xin-Wen
authors.initials: XW
authors.lastname: Wang
authors.forename: Nan
authors.initials: N
authors.lastname: Meng
authors.forename: Jie
authors.initials: J
authors.lastname: Gao
authors.forename: Di
authors.initials: D
authors.lastname: Lu
authors.forename: Xin
authors.initials: X
authors.lastname: Yan
authors.forename: Ying
authors.initials: Y
authors.lastname: Zhang
authors.forename: Lin-Sheng
authors.initials: LS
authors.lastname: Liu
authors.forename: Gang
authors.initials: G
authors.lastname: Hao
authors.forename: Bei
authors.initials: B
authors.lastname: Yan
authors.forename: Sheng-Hua
authors.initials: SH
authors.lastname: Gu
authors.forename: Ji-Ye
authors.initials: JY
authors.lastname: A
mesh_terms: D000156:Aconitic Acid / Q000097:blood; D000272:Adipates / Q000097:blood; D000375:Aging / Q000097:blood* / Q000502:physiology; D000818:Animals; D015415:Biomarkers / Q000097:blood; D002849:Chromatography, Gas / Q000379:methods*; D019343:Citric Acid / Q000097:blood; D007211:Indoles / Q000097:blood; D008297:Male; D055442:Metabolome; D055432:Metabolomics; D015999:Multivariate Analysis; D010169:Palmitic Acids / Q000097:blood; D011422:Propionates / Q000097:blood; D051381:Rats; D017208:Rats, Wistar; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods*; D024502:alpha-Tocopherol / Q000097:blood
chemical_list: D000272:Adipates; D015415:Biomarkers; D007211:Indoles; D010169:Palmitic Acids; D011422:Propionates; D019343:Citric Acid; C093821:hexadecenoic acid; C029900:adipic acid; D000156:Aconitic Acid; D024502:alpha-Tocopherol; C095446:3-(indol-3-yl)propionic acid