Towards a gene expression biomarker set for human biological age

Aging Cell - Tập 12 Số 2 - Trang 324-326 - 2013
Alice C. Holly1, David Melzer2, Luke C. Pilling2, William Henley3, Dena Hernandez4, Andrew Singleton4, Stefania Bandinelli5, Jack M. Guralnik6, Luigi Ferrucci7, Lorna W. Harries1
1Institute of Biomedical and Clinical Science Exeter Medical School University of Exeter Exeter EX2 5DW UK
2Epidemiology and Public Health Exeter Medical School University of Exeter Exeter EX2 5DW UK
3Institute of Health Service Research Exeter Medical School University of Exeter Exeter EX2 4SG UK
4Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
5Geriatric Unit, Azienda Sanitaria di Firenze, Florence, Italy
6Laboratory of Epidemiology, Demography and Biometry, National Institute on Aging, Bethesda, MD, USA
7National Institute on Aging, Baltimore, MD, USA

Tóm tắt

SummaryWe have previously described a statistical model capable of distinguishing young (age <65 years) from old (age ≥75 years) individuals. Here we studied the performance of a modified model in three populations and determined whether individuals predicted to be biologically younger than their chronological age had biochemical and functional measures consistent with a younger biological age. Those with ‘younger’ gene expression patterns demonstrated higher muscle strength and serum albumin, and lower interleukin‐6 and blood urea concentrations relative to ‘biologically older’ individuals (odds ratios 2.09, 1.64, 0.74, 0.74; P = 2.4 × 10−2, 3.5 × 10−4, 1.8 × 10−2, 1.5 × 10−2, respectively). We conclude that our expression signature of age is robust across three populations and may have utility for estimation of biological age.

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