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Review
. 2023 Jul 1;9(1):13.
doi: 10.1038/s41514-023-00110-8.

Biomarkers selection and mathematical modeling in biological age estimation

Solim Essomandan Clémence Bafei  1 , Chong Shen  2
Affiliations
Review

Biomarkers selection and mathematical modeling in biological age estimation

Solim Essomandan Clémence Bafei et al. NPJ Aging. .

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.

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Conflict of interest statement

The authors declare no competing interests.

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