生物年龄研究进展。
Progress in biological age research.
机构信息
The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, China.
Department of Nephrology, First Medical Center of Chinese PLA General Hospital, Nephrology Institute of the Chinese People's Liberation Army, State Key Laboratory of Kidney Diseases, National Clinical Research Center for Kidney Diseases, Beijing Key Laboratory of Kidney Disease Research, Beijing, China.
出版信息
Front Public Health. 2023 Apr 12;11:1074274. doi: 10.3389/fpubh.2023.1074274. eCollection 2023.
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.
生物年龄（BA）是评估个体衰老功能的常用模型，因为它可能比实际年龄（CA）更准确地衡量人类衰老的程度。BA 受到所选衰老生物标志物中使用的生物标志物和标准以及构建 BA 的统计方法的影响。传统的 BA 估计方法包括多元线性回归（MLR）、主成分分析（PCA）、Klemera 和 Doubal 方法（KDM）以及近年来的深度学习方法。本综述总结了用于构建生物年龄的每个器官/系统的标记物以及使用 BA 研究方法的已发表文献。未来的研究需要探索新的衰老标记物以及选择标记物和构建 BA 模型的新方法的标准。
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