Biomarkers selection and mathematical modeling in biological age estimation

Solim Essomandan Clémence Bafei, Chong Shen*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

20 Citations (Scopus)

Abstract

Biological age (BA) is important for clinical monitoring and preventing aging-related disorders and disabilities. Clinical and/or cellular biomarkers are measured and integrated in years using mathematical models to display an individual’s BA. To date, there is not yet a single or set of biomarker(s) and technique(s) that is validated as providing the BA that reflects the best real aging status of individuals. Herein, a comprehensive overview of aging biomarkers is provided and the potential of genetic variations as proxy indicators of the aging state is highlighted. A comprehensive overview of BA estimation methods is also provided as well as a discussion of their performances, advantages, limitations, and potential approaches to overcome these limitations.

Original languageEnglish
Article number13
Journalnpj Aging
Volume9
Issue number1
DOIs
Publication statusPublished - Dec 2023
Externally publishedYes

Fingerprint

Dive into the research topics of 'Biomarkers selection and mathematical modeling in biological age estimation'. Together they form a unique fingerprint.

Cite this