血蛋白学揭示了生物标志物和在代谢衰老中的波动变化
Jijuan Zhang1, Hancheng Yu2, Yurong Xiong1
1Department of Epidemiology and Biostatistics, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Research (Washington, D.C.)
|December 8, 2025
概括
一个新的代谢年龄 (MA) 模型识别了随着衰老而改变的关键血蛋白. 这些生物标志物可以预测疾病风险,并揭示波动的蛋白质模式,有助于健康衰老的干预措施.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 代谢学 代谢学 代谢学
- 衰老研究研究 衰老研究
背景情况:
- 代谢衰老是健康和疾病风险的关键决定因素.
- 确定代谢衰老的可靠生物标志物对于开发有针对性的干预措施至关重要.
研究的目的:
- 使用代谢数据开发代谢年龄 (MA) 预测模型.
- 识别与代谢衰老相关的血蛋白质生物标志物及其表型.
- 描述这些蛋白质在生命周期中的动态,波浪式变化.
主要方法:
- 从203,491名英国生物库参与者的死亡率相关代谢概况中开发出MA.
- 在24,920名参与者中,研究了2,923种血蛋白和代谢衰老表型之间的关联.
- 利用差异表达滑动窗分析来捕捉7,092名参与者的衰老过程中的蛋白质波.
主要成果:
- 药物治疗改善了死亡率,心血管疾病和2型糖尿病的预测 (C指数高达0.786) 并与时间年龄有很强的相关性 (r=0.876).
- 60种蛋白质与所有代谢衰老表型相关,包括GDF15,PLAUR和TNFRSF10A/B.
- 蛋白质表现出波动变化,在44,51和63岁时达到峰值,MA-蛋白质轨迹分为线性和非线性组.
结论:
- 开发的MA模型和已识别的血蛋白质生物标志物为评估代谢年龄提供了有价值的工具.
- 衰老过程中波浪式的蛋白质变化突出显示了动态的生物过程和潜在的干预点.
- 这些发现为临床标记和精确干预提供了基础,以打击加速代谢衰老.
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