慢性病发病,进展和心血管结果:蛋白质组学为生物学和风险分层提供信息
Jijuan Zhang1, Hancheng Yu2, Xingyue Song3
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.
Cardiovascular diabetology
|January 20, 2026
概括
这项大规模的蛋白质组学研究揭示了与慢性病 (CKD) 和心血管疾病 (CVD) 相关的共享和独特的血蛋白,改善了对这些疾病的风险预测.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 心血管疾病的研究研究.
- 腎臟病學 (nephrology) 是一種醫學專業.
背景情况:
- 大规模蛋白质组学为慢性病 (CKD) 和心血管疾病 (CVD) 提供了洞察力,但仍未得到充分研究.
- 这项研究利用蛋白质组学来提高对疾病生物学和CKD和CVD风险分层的理解.
研究的目的:
- 确定与CKD和CVD相关的共享和独特的血蛋白.
- 探索涉及这些疾病的生物途径.
- 开发用于事件CKD和CVD的改进预测模型.
主要方法:
- 来自英国生物库的44779名没有CKD的参与者和3749-4272名CKD的参与者的队列研究.
- 使用Olink Explore 3072平台对2923种血蛋白进行量化.
- 使用考克斯模型,门德尔随机化和途径分析,分析与慢性病,末期病,冠心病 (CHD),中风和心力衰竭 (HF) 的蛋白质关联.
主要成果:
- 确定了至少两种疾病共享的598种蛋白质,其中471种是单一疾病的独特特征. 结核病和心力衰竭共享的蛋白质最多 (279).
- 特定的蛋白质 (例如,POLR2F,TNFRSF10B,IGFBP2) 与多种疾病有关,其中一些与遗传支持有关.
- 途径分析涉及的细胞粘附,信号转导和细胞因子-细胞因子受体相互作用. 结合预测性蛋白质改善了CKD,CHD,中风和HF的风险预测模型.
结论:
- 这项研究加深了对CKD和CVD背后的生物学机制的理解.
- 鉴定的蛋白质为早期疾病检测和综合风险分层策略提供了基础.
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