TY - JOUR
T1 - 1H NMR metabolomics study of age profiling in children
AU - Gu, Haiwei
AU - Pan, Zhengzheng
AU - Xi, Bowei
AU - Hainline, Bryan E.
AU - Shanaiah, Narasimhamurthy
AU - Asiago, Vincent
AU - Gowda, G. A.Nagana
AU - Raftery, Daniel
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - Metabolic profiling of urine provides a fingerprint of personalized endogenous metabolite markers that correlate to a number of factors such as gender, disease, diet, toxicity, medication, and age. It is important to study these factors individually, if possible to unravel their unique contributions. In this study, age-related metabolic changes in children of age 12 years and below were analyzed by 1H NMR spectroscopy of urine. The effect of age on the urinary metabolite profile was observed as a distinct age-dependent clustering even from the unsupervised principal component analysis. Further analysis, using partial least squares with orthogonal signal correction regression with respect to age, resulted in the identification of an age-related metabolic profile. Metabolites that correlated with age included creatinine, creatine, glycine, betaine/TMAO, citrate, succinate, and acetone. Although creatinine increased with age, all the other metabolites decreased. These results may be potentially useful in assessing the biological age (as opposed to chronological) of young humans as well as in providing a deeper understanding of the confounding factors in the application of metabolomics.
AB - Metabolic profiling of urine provides a fingerprint of personalized endogenous metabolite markers that correlate to a number of factors such as gender, disease, diet, toxicity, medication, and age. It is important to study these factors individually, if possible to unravel their unique contributions. In this study, age-related metabolic changes in children of age 12 years and below were analyzed by 1H NMR spectroscopy of urine. The effect of age on the urinary metabolite profile was observed as a distinct age-dependent clustering even from the unsupervised principal component analysis. Further analysis, using partial least squares with orthogonal signal correction regression with respect to age, resulted in the identification of an age-related metabolic profile. Metabolites that correlated with age included creatinine, creatine, glycine, betaine/TMAO, citrate, succinate, and acetone. Although creatinine increased with age, all the other metabolites decreased. These results may be potentially useful in assessing the biological age (as opposed to chronological) of young humans as well as in providing a deeper understanding of the confounding factors in the application of metabolomics.
KW - Age
KW - Human urine
KW - Metabolite profiling
KW - Metabolomics
KW - Metabonomics
KW - Nuclear magnetic resonance
KW - Orthogonal signal correction
KW - Principal component analysis
UR - http://www.scopus.com/inward/record.url?scp=70649089393&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70649089393&partnerID=8YFLogxK
U2 - 10.1002/nbm.1395
DO - 10.1002/nbm.1395
M3 - Article
C2 - 19441074
AN - SCOPUS:70649089393
VL - 22
SP - 826
EP - 833
JO - NMR in Biomedicine
JF - NMR in Biomedicine
SN - 0952-3480
IS - 8
ER -