Biomarkers selection and mathematical modeling in biological age estimation

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...

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Autores principales: Bafei, Solim Essomandan Clémence, Shen, Chong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Review Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314900/
https://www.ncbi.nlm.nih.gov/pubmed/37393295
http://dx.doi.org/10.1038/s41514-023-00110-8
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author Bafei, Solim Essomandan Clémence
Shen, Chong
author_facet Bafei, Solim Essomandan Clémence
Shen, Chong
author_sort Bafei, Solim Essomandan Clémence
collection PubMed
description 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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spelling pubmed-103149002023-07-03 Biomarkers selection and mathematical modeling in biological age estimation Bafei, Solim Essomandan Clémence Shen, Chong NPJ Aging Review Article 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. Nature Publishing Group UK 2023-07-01 /pmc/articles/PMC10314900/ /pubmed/37393295 http://dx.doi.org/10.1038/s41514-023-00110-8 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Bafei, Solim Essomandan Clémence
Shen, Chong
Biomarkers selection and mathematical modeling in biological age estimation
title Biomarkers selection and mathematical modeling in biological age estimation
title_full Biomarkers selection and mathematical modeling in biological age estimation
title_fullStr Biomarkers selection and mathematical modeling in biological age estimation
title_full_unstemmed Biomarkers selection and mathematical modeling in biological age estimation
title_short Biomarkers selection and mathematical modeling in biological age estimation
title_sort biomarkers selection and mathematical modeling in biological age estimation
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314900/
https://www.ncbi.nlm.nih.gov/pubmed/37393295
http://dx.doi.org/10.1038/s41514-023-00110-8
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