数据日期 2026-10-29 · 生成时间 2026-10-29 06:03
证据级别：摘要级。本条依据 PubMed 结构化摘要与元数据撰写，付费墙全文未获取、未逐节核验，本站未做任何数值推算补全。
研究问题
Ageing progresses unevenly across organs, making it difficult to capture organ-specific physiological decline using a single organism-level measure.
方法
UK Biobank proteomic, behavioural, disease and phenotypic data were used to characterise OAGs.
核心结论
Organ age gap (OAG) was defined as predicted age minus chronological age.；Predicted and chronological age were strongly correlated across organs (average Pearson correlation coefficient [PCC] 0.861 ± 0.0245).；OAGs were organ-specific yet clinically informative across 20 age-related diseases and 16 age-related phenotypes and improved prediction for both organ-matched and cross-organ outcomes. ‖ 结论：For commercial re-use, please contact reprints@oup.com for reprints and translation rights for reprints.
局限
未能获取全文，具体设计细节、失访与统计学处理无法核验。
对本项目的价值
★★★☆☆ 生物学年龄读数是选择替代终点的主要候选，直接影响终点设计与样本量估算。
原文题录
- 英文标题：Predicting organ age with multimodal data identifies ageing-associated plasma proteins and behavioural traits.
- 期刊与标识：Age Ageing · PMID 42935254 · DOI 10.1093/ageing/afag309**
A 级证据分级：A 级（同行评议人体研究）
本文属人体研究证据，但需注意：观察性或小样本干预的结论不等于已证实临床获益；效应量与长期安全性仍需更大规模、更长随访的试验验证。
关于本文的文献来源：本站依据 IMA 知识库「五刊监控·深度文献卡片」（SOP §4.2 摘要级）撰写，依据期刊公开摘要与 PubMed 元数据；付费墙全文未获取之处已标注「待补全文」，未做任何数值推算补全。