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Progress in biological age research

Biological age (BA) is a common model to evaluate the function of aging individuals as it may provide a more accurate measure of the extent of human aging than chronological age (CA). Biological age is influenced by the used biomarkers and standards in selected aging biomarkers and the statistical m...

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Autores principales: Li, Zhe, Zhang, Weiguang, Duan, Yuting, Niu, Yue, Chen, Yizhi, Liu, Xiaomin, Dong, Zheyi, Zheng, Ying, Chen, Xizhao, Feng, Zhe, Wang, Yong, Zhao, Delong, Sun, Xuefeng, Cai, Guangyan, Jiang, Hongwei, Chen, Xiangmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130645/
https://www.ncbi.nlm.nih.gov/pubmed/37124811
http://dx.doi.org/10.3389/fpubh.2023.1074274
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author Li, Zhe
Zhang, Weiguang
Duan, Yuting
Niu, Yue
Chen, Yizhi
Liu, Xiaomin
Dong, Zheyi
Zheng, Ying
Chen, Xizhao
Feng, Zhe
Wang, Yong
Zhao, Delong
Sun, Xuefeng
Cai, Guangyan
Jiang, Hongwei
Chen, Xiangmei
author_facet Li, Zhe
Zhang, Weiguang
Duan, Yuting
Niu, Yue
Chen, Yizhi
Liu, Xiaomin
Dong, Zheyi
Zheng, Ying
Chen, Xizhao
Feng, Zhe
Wang, Yong
Zhao, Delong
Sun, Xuefeng
Cai, Guangyan
Jiang, Hongwei
Chen, Xiangmei
author_sort Li, Zhe
collection PubMed
description Biological age (BA) is a common model to evaluate the function of aging individuals as it may provide a more accurate measure of the extent of human aging than chronological age (CA). Biological age is influenced by the used biomarkers and standards in selected aging biomarkers and the statistical method to construct BA. Traditional used BA estimation approaches include multiple linear regression (MLR), principal component analysis (PCA), Klemera and Doubal’s method (KDM), and, in recent years, deep learning methods. This review summarizes the markers for each organ/system used to construct biological age and published literature using methods in BA research. Future research needs to explore the new aging markers and the standard in select markers and new methods in building BA models.
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spelling pubmed-101306452023-04-27 Progress in biological age research Li, Zhe Zhang, Weiguang Duan, Yuting Niu, Yue Chen, Yizhi Liu, Xiaomin Dong, Zheyi Zheng, Ying Chen, Xizhao Feng, Zhe Wang, Yong Zhao, Delong Sun, Xuefeng Cai, Guangyan Jiang, Hongwei Chen, Xiangmei Front Public Health Public Health Biological age (BA) is a common model to evaluate the function of aging individuals as it may provide a more accurate measure of the extent of human aging than chronological age (CA). Biological age is influenced by the used biomarkers and standards in selected aging biomarkers and the statistical method to construct BA. Traditional used BA estimation approaches include multiple linear regression (MLR), principal component analysis (PCA), Klemera and Doubal’s method (KDM), and, in recent years, deep learning methods. This review summarizes the markers for each organ/system used to construct biological age and published literature using methods in BA research. Future research needs to explore the new aging markers and the standard in select markers and new methods in building BA models. Frontiers Media S.A. 2023-04-12 /pmc/articles/PMC10130645/ /pubmed/37124811 http://dx.doi.org/10.3389/fpubh.2023.1074274 Text en Copyright © 2023 Li, Zhang, Duan, Niu, Chen, Liu, Dong, Zheng, Chen, Feng, Wang, Zhao, Sun, Cai, Jiang and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Li, Zhe
Zhang, Weiguang
Duan, Yuting
Niu, Yue
Chen, Yizhi
Liu, Xiaomin
Dong, Zheyi
Zheng, Ying
Chen, Xizhao
Feng, Zhe
Wang, Yong
Zhao, Delong
Sun, Xuefeng
Cai, Guangyan
Jiang, Hongwei
Chen, Xiangmei
Progress in biological age research
title Progress in biological age research
title_full Progress in biological age research
title_fullStr Progress in biological age research
title_full_unstemmed Progress in biological age research
title_short Progress in biological age research
title_sort progress in biological age research
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130645/
https://www.ncbi.nlm.nih.gov/pubmed/37124811
http://dx.doi.org/10.3389/fpubh.2023.1074274
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