Abstract
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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 826-833 |
| Number of pages | 8 |
| Journal | NMR in Biomedicine |
| Volume | 22 |
| Issue number | 8 |
| DOIs | |
| State | Published - Dec 2 2009 |
| Externally published | Yes |
Fingerprint
Keywords
- Age
- Human urine
- Metabolite profiling
- Metabolomics
- Metabonomics
- Nuclear magnetic resonance
- Orthogonal signal correction
- Principal component analysis
ASJC Scopus subject areas
- Molecular Medicine
- Radiology Nuclear Medicine and imaging
- Spectroscopy
Cite this
1H NMR metabolomics study of age profiling in children. / Gu, Haiwei; Pan, Zhengzheng; Xi, Bowei; Hainline, Bryan E.; Shanaiah, Narasimhamurthy; Asiago, Vincent; Gowda, G. A.Nagana; Raftery, Daniel.
In: NMR in Biomedicine, Vol. 22, No. 8, 02.12.2009, p. 826-833.Research output: Contribution to journal › Article
}
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
PY - 2009/12/2
Y1 - 2009/12/2
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
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UR - http://www.scopus.com/inward/citedby.url?scp=70649089393&partnerID=8YFLogxK
U2 - 10.1002/nbm.1395
DO - 10.1002/nbm.1395
M3 - Article
VL - 22
SP - 826
EP - 833
JO - NMR in Biomedicine
JF - NMR in Biomedicine
SN - 0952-3480
IS - 8
ER -