Estimation of physiological aging based on routine clinical biomarkers: a prospective cohort study in elderly Chinese and the UK Biobank.

Ziwei Zhu, Jingjing Lyu, Xingjie Hao, Huan Guo, Xiaomin Zhang, Meian He, Xiang Cheng, Shanshan Cheng, Chaolong Wang

Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. · pubmed

Paper

Abstract

Chronological age (CA) does not reflect individual variation in the aging process. However, existing biological age predictors are mostly based on European populations and overlook the widespread nonlinear effects of clinical biomarkers.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

The paper addresses the estimation of physiological aging using clinical biomarkers, which is pertinent to understanding individual variations in the aging process. This focus on biological age predictors and their application to diverse populations contributes to the field of longevity research. However, while it presents solid research, it does not introduce groundbreaking findings or methodologies that would significantly advance the field, hence the moderate impact score.

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