A Biomarker-based Biological Age in UK Biobank: Composition and Prediction of Mortality and Hospital Admissions.
A Biomarker-based Biological Age in UK Biobank: Composition and Prediction of Mortality and Hospital Admissions.
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DOI：
10.1093/gerona/glab069
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发表时间：
2021-06-14
期刊：
影响因子：
--
通讯作者：
Parish S
中科院分区：
文献类型：
--
作者：
Chan MS;Arnold M;Offer A;Hammami I;Mafham M;Armitage J;Perera R;Parish S
实足年龄是大多数慢性病的最大风险因素。开发基于生物标志物的年龄并了解其最重要的生物标志物可能会揭示年龄对晚年健康的影响，并为疾病预防提供信息。研究了141254名基线健康的人的亚群，这些人来自2006-2010年招募的480019名年龄在40-70岁之间的英国生物银行参与者，并通过相关的死亡和二级护理记录进行了6-12年的随访。对基线时测量的72种生物标志物的主成分进行了表征，并使用Klemera Doubal方法构建性别特异性复合生物标志物年龄，该方法基于生物标志物主成分与实际年龄的线性相关性推导出生物标志物主成分的加权和。生物标志物年龄中的生物标志物重要性通过各自解释的生物标志物年龄中的变化的比例来评估。使用考克斯比例风险模型中的可能性，比较总体生物标志物和实际年龄对死亡率和由生物标志物年龄解释的年龄相关住院的影响比例。肺功能、肾功能、反应时间、胰岛素样生长因子1、握力和血压升高是导致男性和女性生物标志物年龄的关键因素。对于健康人群和整个人群，生物标志物年龄分别占年龄对死亡率和住院率的明显影响的>65%和>84%，并且与实际年龄相比，显著改善了死亡率（p <0.001）和住院率（p < 1 × 10−10）的预测。这项研究表明，一个更广泛的，多系统的方法来研究和预防老年疾病值得考虑。
Chronological age is the strongest risk factor for most chronic diseases. Developing a biomarker-based age and understanding its most important contributing biomarkers may shed light on the effects of age on later-life health and inform opportunities for disease prevention. A subpopulation of 141 254 individuals healthy at baseline were studied, from among 480 019 UK Biobank participants aged 40–70 recruited in 2006–2010, and followed up for 6–12 years via linked death and secondary care records. Principal components of 72 biomarkers measured at baseline were characterized and used to construct sex-specific composite biomarker ages using the Klemera Doubal method, which derived a weighted sum of biomarker principal components based on their linear associations with chronological age. Biomarker importance in the biomarker ages was assessed by the proportion of the variation in the biomarker ages that each explained. The proportions of the overall biomarker and chronological age effects on mortality and age-related hospital admissions explained by the biomarker ages were compared using likelihoods in Cox proportional hazard models. Reduced lung function, kidney function, reaction time, insulin-like growth factor 1, hand grip strength, and higher blood pressure were key contributors to the derived biomarker age in both men and women. The biomarker ages accounted for >65% and >84% of the apparent effect of age on mortality and hospital admissions for the healthy and whole populations, respectively, and significantly improved prediction of mortality (p < .001) and hospital admissions (p < 1 × 10−10) over chronological age alone. This study suggests that a broader, multisystem approach to research and prevention of diseases of aging warrants consideration.
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影响因子：
3.6
作者：
Jia L;Zhang W;Chen X
通讯作者：
Chen X
DOI：
10.1093/gerona/glw089
发表时间：
2017-07-01
影响因子：
5.1
作者：
Mitnitski, Arnold;Howlett, Susan E.;Rockwood, Kenneth
通讯作者：
Rockwood, Kenneth
DOI：
10.1093/gerona/glt117
发表时间：
2014-04-01
影响因子：
5.1
作者：
Sanders, Jason L.;Minster, Ryan L.;Newman, Anne B.
通讯作者：
Newman, Anne B.
影响因子：
7.7
作者：
Newman, Anne B.;Sanders, Jason L.;Arnold, Alice M.
通讯作者：
Arnold, Alice M.
影响因子：
7.2
作者：
Collins, Gary S.;Reitsma, Johannes B.;Moons, Karel G. M.
通讯作者：
Moons, Karel G. M.