CCL17作为一种炎症生物标志物增强心血管风险分层:一个前性队列研究
Zeyuan Wang1, Xiaoyu Ren1, Yang Lu1
1Department of Cardiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100730, China.
Journal of cardiovascular translational research
|October 16, 2025
概括
炎症 炎症是一种炎症.
科学领域:
- 心血管疾病的研究研究.
- 发现生物标志物的发现.
- 炎症和免疫学 炎症和免疫学
背景情况:
- 炎症是心血管疾病 (CVD) 的重要因素.
- 目前的风险模型,如中国-PAR和PCE,往往无法准确识别中等风险的个体.
- 需要改进心血管风险评估策略.
研究的目的:
- 评估炎症化学物质CCL17作为预测心血管风险的生物标志物的潜力.
- 确定是否结合CCL17水平可以提高现有的心血管风险模型的准确性.
- 评估CCL17在识别心血管事件高风险个体中的临床实用性.
主要方法:
- 未来的队列研究设计,使用Shunyi队列 (中国) 和英国生物银行.
- 在参与者中量化基线CCL17水平.
- 在随访期间跟踪主要不良心血管事件 (MACE).
主要成果:
- 较高的CCL17水平独立地与MACEs风险增加有关.
- 将CCL17集成到现有的风险模型中,显著提高了风险预测准确性和重新分类,特别是在中等风险人群中.
- 净重新分类改进 (NRI) 显示了大量的预测增强 (15.1%在Shunyi;3.0%在英国生物银行).
结论:
- CCL17显示出作为评估心血管风险的有价值生物标志物的潜力.
- 纳入CCL17可以完善当前的心血管风险模型,使高风险个体的早期和更精确的识别成为可能.
- CCL17可能通过增加心血管风险分层来促进精确预防策略.
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