reviewEBioMedicineApr 1, 2017GOLD OA

Biological Age Predictors

JJJuulia JylhäväNLNancy L. PedersenSHSara Hägg

Karolinska Institutet

PubMed
Indexed incrossrefdoajpubmed

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…

Citation impact

1,261
total citations
FWCI
29.15
Percentile
100%
References
80
Citations per year

Authors

3

Topics & keywords

Topics
Keywords
  • Biological age
  • Biomarker
  • Epigenetics
  • Biomarker discovery
  • Biology
  • Computational biology
  • Bioinformatics
  • Metabolomics
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