Longitudinal serum proteome mapping reveals biomarkers for healthy ageing and related cardiometabolic diseases

IF 18.9 1区医学 Q1 ENDOCRINOLOGY & METABOLISM

Nature metabolism Pub Date : 2025-01-13 DOI:10.1038/s42255-024-01185-7

Jun Tang, Liang Yue, Ying Xu, Fengzhe Xu, Xue Cai, Yuanqing Fu, Zelei Miao, Wanglong Gou, Wei Hu, Zhangzhi Xue, Kui Deng, Luqi Shen, Zengliang Jiang, Menglei Shuai, Xinxiu Liang, Congmei Xiao, Yuting Xie, Tiannan Guo, Yu-ming Chen, Ju-Sheng Zheng

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引用次数: 0

Abstract

The blood proteome contains biomarkers of ageing and age-associated diseases, but such markers are rarely validated longitudinally. Here we map the longitudinal proteome in 7,565 serum samples from a cohort of 3,796 middle-aged and elderly adults across three time points over a 9-year follow-up period. We pinpoint 86 ageing-related proteins that exhibit signatures associated with 32 clinical traits and the incidence of 14 major ageing-related chronic diseases. Leveraging a machine-learning model, we pick 22 of these proteins to generate a proteomic healthy ageing score (PHAS), capable of predicting the incidence of cardiometabolic diseases. We further identify the gut microbiota as a modifiable factor influencing the PHAS. Our data constitute a valuable resource and offer useful insights into the roles of serum proteins in ageing and age-associated cardiometabolic diseases, providing potential targets for intervention with therapeutics to promote healthy ageing.

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纵向血清蛋白质组图谱揭示了健康衰老和相关心脏代谢疾病的生物标志物

血液蛋白质组包含衰老和年龄相关疾病的生物标志物，但这些标志物很少得到纵向验证。在这里，我们绘制了来自3796名中老年人队列的7565份血清样本的纵向蛋白质组图，跨越9年随访期间的三个时间点。我们确定了86种与衰老相关的蛋白质，这些蛋白质表现出与32种临床特征和14种主要衰老相关慢性疾病的发病率相关的特征。利用机器学习模型，我们从中选择22种蛋白质来生成蛋白质组健康老化评分（PHAS），能够预测心脏代谢疾病的发病率。我们进一步确定肠道微生物群是影响pha的可改变因素。我们的数据构成了宝贵的资源，并为血清蛋白在衰老和年龄相关的心脏代谢疾病中的作用提供了有用的见解，为促进健康衰老的治疗干预提供了潜在的靶点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature metabolism ENDOCRINOLOGY & METABOLISM-

CiteScore

27.50

自引率

2.40%

发文量

170

期刊介绍： Nature Metabolism is a peer-reviewed scientific journal that covers a broad range of topics in metabolism research. It aims to advance the understanding of metabolic and homeostatic processes at a cellular and physiological level. The journal publishes research from various fields, including fundamental cell biology, basic biomedical and translational research, and integrative physiology. It focuses on how cellular metabolism affects cellular function, the physiology and homeostasis of organs and tissues, and the regulation of organismal energy homeostasis. It also investigates the molecular pathophysiology of metabolic diseases such as diabetes and obesity, as well as their treatment. Nature Metabolism follows the standards of other Nature-branded journals, with a dedicated team of professional editors, rigorous peer-review process, high standards of copy-editing and production, swift publication, and editorial independence. The journal has a high impact factor, has a certain influence in the international area, and is deeply concerned and cited by the majority of scholars.