Biological Age Predictors

被引:765
作者
Jylhava, Juulia [1 ]
Pedersen, Nancy L. [1 ]
Hagg, Sara [1 ]
机构
[1] Karolinska Inst, Dept Med Epidemiol & Biostat, Box 281, S-17177 Stockholm, Sweden
基金
瑞典研究理事会;
关键词
Aging; Biomarker; Prediction; Epigenetic clock; Telomere length; DNA METHYLATION AGE; LEUKOCYTE TELOMERE LENGTH; EPIGENETIC CLOCK ANALYSIS; ALL-CAUSE MORTALITY; BODY-MASS INDEX; PARKINSONS-DISEASE; GENE-EXPRESSION; BIOMARKER; BLOOD; CANCER;
D O I
10.1016/j.ebiom.2017.03.046
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The search for reliable indicators of biological age, rather than chronological age, has been ongoing for over three decades, and until recently, largely without success. Advances in the fields of molecular biology have increased the variety of potential candidate biomarkers that may be considered as biological age predictors. In this review, we summarize current state-of-the-art findings considering six potential types of biological age predictors: epigenetic clocks, telomere length, transcriptomic predictors, proteomic predictors, metabolomics-based predictors, and composite biomarker predictors. Promising developments consider multiple combinations of these various types of predictors, which may shed light on the aging process and provide further understanding of what contributes to healthy aging. Thus far, the most promising, new biological age predictor is the epigenetic clock; however its true value as a biomarker of aging requires longitudinal confirmation. (C) 2017 The Authors. Published by Elsevier B.V.
引用
收藏
页码:29 / 36
页数:8
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