Progress in biological age research

Bibliographic Data

ID22076465
AuthorsZhe Li (0000-0002-2003-0827, Chinese PLA General Hospital), Weiguang Zhang (0000-0001-5055-4907, Chinese PLA General Hospital), Yuting Duan (0000-0003-4113-5000, Chinese PLA General Hospital), Yue Niu (0000-0001-7395-1702, Chinese PLA General Hospital), Yizhi Chen (0000-0003-0555-3918, Chinese PLA General Hospital), Xiaomin Liu (0000-0003-4186-9637, Chinese PLA General Hospital), Zheyi Dong (Chinese PLA General Hospital), Ying Zheng (0000-0001-5060-8581, Chinese PLA General Hospital), Xizhao Chen (0000-0002-0528-3375, Chinese PLA General Hospital), Zhe Feng (0000-0001-6230-645X, Chinese PLA General Hospital), Yong Wang (0000-0002-0092-0793, Chinese PLA General Hospital), Delong Zhao (0000-0002-4534-7820, Chinese PLA General Hospital), Xuefeng Sun (0000-0002-2688-4663, Chinese PLA General Hospital), Guangyan Cai (0000-0001-8586-6353, Chinese PLA General Hospital), Hongwei Jiang (0000-0003-3807-7989, Chinese PLA General Hospital, corresponding author), Xiangmei Chen (0000-0003-0302-6866, Chinese PLA General Hospital, corresponding author)
Year2023
Volume11
Pages1074274-1074274
Publication date2023-04-12
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Public Health (JOURNAL)
Journal identifiersISSN: 2296-2565 • E-ISSN: 2296-2565
PublisherFrontiers Media SA (PUBLISHER • CH)
DOI10.3389/fpubh.2023.1074274
PMID37124811
OpenAlexW4365148121
LanguageEN
Citations received7
References cited73

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

Biology · Computational biology · Data science · Birth, Development, and Health · Computer Science · Genetics, Aging, and Longevity in Model Organisms · Health, Environment, Cognitive Aging

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