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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年1月13日

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  • 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

摘要

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.