Original Article
Metabonomic investigation of effects of age on metabolic profile in healthy human serum and urine
Yan Bei, Dong Fan, Shi Aixin, Aa Jiye, Xue Wei, Li Min, Shi Luyi, Li Kexin
Published 2015-11-14
Cite as Chin J Geriatr, 2015, 34(11): 1199-1203. DOI: 10.3760/cma.j.issn.0254-9026.2015.11.013
Abstract
ObjectiveTo investigate the metabolic phenotype or biochemical compositionvariations of healthy subjects across age groups by metabonomics.
MethodsEndogenous metabolites in serum and urine were comprehensively detected by gas chromatography/mass spectrometry (GC/MS)in two groups of 37 healthy young subjects versus 19 healthy elderly subjects, and their difference between the two groups was analyzed by multivariate statistical technique and MANOVA.
ResultsThe two groups were visually clustered in partial least squares projection to latent structures and discriminant analysis(PLS-DA) scores plots, and the linear correlation between the parameters of the scores plot and age were observed. Age-related metabolites and their variation tendency in serum and urine had homogeneity and their own characteristics. Most metabolites in sera were decreased in elderly subjects as compared with young subjects (P<0.05). However, all metabolites in urine of healthy elderly subjects were increased (P<0.05). Additionally, parts of these metabolites were linear related with indexes of clinical routine laboratory examination. Biochemical metabolic pathway analysis indicated that age-related metabolites were involved in amino acid metabolism, saccharometabolism, lipid metabolism, nucleoside metabolism, tricarboxylic acid cycle, inositol metabolism, etcetera, and were in relationship with oxidative stress.
ConclusionsMetabonomics may be a promising tool to investigate the age-related characteristic metabolic profile of human, and also could lay the foundations for further study on the biological nature of disease development and on pharmacodynamic action of drugs.
Key words:
Metabolism; Age groups; Serum; Urine
Contributor Information
Yan Bei
Department of Clinical Pharmacology, Beijing Key Laboratory of Drug Clinical Risk and Personalized Medication Evaluation, Beijing Hospital, Beijing 100730, China
Dong Fan
Shi Aixin
Aa Jiye
Xue Wei
Li Min
Shi Luyi
Li Kexin