| Autor: |
Tian Q; Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21214, USA., Adam MG; biocrates life sciences ag, 6020 Innsbruck, Austria., Ozcariz E; biocrates life sciences ag, 6020 Innsbruck, Austria., Fantoni G; Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD 21224, USA., Shehadeh NM; Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD 21224, USA., Turek LM; Clinical Research Unit, National Institute on Aging, Baltimore, MD 21224, USA., Collingham VL; Clinical Research Unit, National Institute on Aging, Baltimore, MD 21224, USA., Kaileh M; Laboratory of Molecular Biology and Immunology, National Institute on Aging, Baltimore, MD 21224, USA., Moaddel R; Laboratory of Clinical Investigation, National Institute on Aging, Baltimore, MD 21224, USA., Ferrucci L; Translational Gerontology Branch, National Institute on Aging, Baltimore, MD 21214, USA. |
| Abstrakt: |
As one of the OMICS in systems biology, metabolomics defines the metabolome and simultaneously quantifies numerous metabolites that are final or intermediate products and effectors of upstream biological processes. Metabolomics provides accurate information that helps determine the physiological steady state and biochemical changes during the aging process. To date, reference values of metabolites across the adult lifespan, especially among ethnicity groups, are lacking. The "normal" reference values according to age, sex, and race allow the characterization of whether an individual or a group deviates metabolically from normal aging, encompass a fundamental element in any study aimed at understanding mechanisms at the interface between aging and diseases. In this study, we established a metabolomics reference database from 20-100 years of age from a biracial sample of community-dwelling healthy men and women and examined metabolite associations with age, sex, and race. Reference values from well-selected healthy individuals can contribute to clinical decision-making processes of metabolic or related diseases. |
