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Biomarkers selection and mathematical modeling in biological age estimation.


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.

SUBMITTER: Bafei SEC 

PROVIDER: S-EPMC10314900 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

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Biomarkers selection and mathematical modeling in biological age estimation.

Bafei Solim Essomandan Clémence SEC   Shen Chong C  

npj aging 20230701 1


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  ...[more]

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