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欧洲癌症与营养前瞻性调查(EPIC)中蛋白质组学年龄与死亡率及慢性疾病发病的关联。

Associations of proteomic age with mortality and incident chronic diseases in the European Prospective Investigation into Cancer and Nutrition (EPIC).

作者信息

Robinson Oliver, Xiao Han, Homann Jan, Viallon Vivian, Ferrari Pietro, Huerta José M, Zabala Ana Jiménez, Kaaks Rudolf, Katzke Verena A, Langenberg Claudia, Lau ChungHo E, Middleton Lefkos, Onland-Moret N Charlotte, Panico Salvatore, Prizment Anna, Ricceri Fulvio, Sánchez María-José, Byrne Karl Smith, Vineis Paolo, Verschuren W Monique, Vermeulen Roel, Wang Shuo, Wareham Nick, Lill Christina M, Riboli Elio, Gunter Marc J

机构信息

Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, UK.

Ageing Epidemiology Research (AGE) Unit, School of Public Health, Imperial College London, UK.

出版信息

Res Sq. 2025 Jul 15:rs.3.rs-7087230. doi: 10.21203/rs.3.rs-7087230/v1.

Abstract

Assessment of biological ageing using proteomic clocks may enhance risk prediction and elucidate the molecular links between ageing and chronic diseases. Within a pre-diagnostic cohort of 17,473 Europeans with up to 28 years of follow-up, we examined associations of plasma SomaScan-based proteomic clocks, including organ-specific clocks, with 24 incident chronic diseases, all-cause mortality, and lifestyle risk factors. Global proteomic age gap (a composite biological age acceleration score combining previously published clocks) showed the strongest positive association of all tested clocks with all-cause mortality. Accelerated proteomic ageing was significantly associated with smoking, alcohol consumption, physical inactivity, and higher risk of cardiovascular diseases, dementia, and liver, upper aero-digestive tract, lung, and kidney cancers. Some organ-specific cancers were more strongly associated with their respective organ-specific age gaps. Mortality prediction by proteomic clocks was comparable in performance to classical lifestyle risk factors. In summary, proteomic clocks appear promising biomarkers of generalized age-related disease risk.

摘要

使用蛋白质组时钟评估生物衰老可能会增强风险预测,并阐明衰老与慢性疾病之间的分子联系。在一个对17473名欧洲人进行了长达28年随访的诊断前队列中,我们研究了基于血浆SomaScan的蛋白质组时钟(包括器官特异性时钟)与24种新发慢性疾病、全因死亡率和生活方式风险因素之间的关联。全球蛋白质组年龄差距(一种结合先前发表的时钟的综合生物年龄加速评分)在所有测试时钟中与全因死亡率呈现出最强的正相关。蛋白质组衰老加速与吸烟、饮酒、身体活动不足以及心血管疾病、痴呆症、肝癌、上消化道癌、肺癌和肾癌的较高风险显著相关。一些器官特异性癌症与其各自的器官特异性年龄差距关联更为紧密。蛋白质组时钟对死亡率的预测在性能上与经典生活方式风险因素相当。总之,蛋白质组时钟似乎是与年龄相关的全身性疾病风险的有前景的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e9a4/12288520/49e3b99d778c/nihpp-rs7087230v1-f0001.jpg

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