Biological Age Predictors: Epigenetic Clocks Lead the Multi-Omics Race
This meta-analysis reviews six categories of biological age predictors: epigenetic clocks, telomere length, transcriptomic, proteomic, metabolomic, and composite biomarker panels. Epigenetic clocks based on DNA methylation emerge as the most reproducible predictor of biological age, outperforming traditional single-biomarker approaches. For clinical laboratories, the maturation of these multi-omics aging panels could eventually support preventive medicine screening and serve as surrogate endpoints in clinical trials targeting the aging process.
The original study
Biological Age Predictors.
- Authors
- Jylhävä J, Pedersen NL, Hägg S
- Journal
- EBioMedicine
- Type
- Journal Article, Meta-Analysis, Review
- PMID
- 28396265
Original abstract
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.