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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...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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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. |
format | Online Article Text |
id | pubmed-10130645 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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