TY - JOUR
T1 - Biomarkers selection and mathematical modeling in biological age estimation
AU - Bafei, Solim Essomandan Clémence
AU - Shen, Chong
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85170279093&partnerID=8YFLogxK
U2 - 10.1038/s41514-023-00110-8
DO - 10.1038/s41514-023-00110-8
M3 - Review article
AN - SCOPUS:85170279093
SN - 2731-6068
VL - 9
JO - npj Aging
JF - npj Aging
IS - 1
M1 - 13
ER -