肝脏脂肪含量的新型10蛋白评分预测心血管-脏-代谢疾病风险
Xiaoqin Gan1, Yuanxiu Wei2,3, Yiting Wu1
1Division of Nephrology, Nanfang Hospital, Southern Medical University, National Clinical Research Center for Kidney Disease, State Key Laboratory of Multi-organ Injury Prevention and Treatment, Guangdong Provincial Institute of Nephrology, Guangdong Provincial Key Laboratory of Renal Failure Research, Guangzhou, 510515, China.
一个新的10蛋白质血液测试准确地测量肝脏脂肪,优于目前的方法. 这个分数预测心血管-脏-代谢疾病,并增强风险预测,为MRI扫描提供了切实可行的替代方案.
科学领域:
- 生物化学 生物化学
- 遗传学 是一个遗传学.
- 心脏病学 心脏病学
背景情况:
- 肝脏脂肪含量 (LFC) 的非侵入性评估对于心血管--代谢 (CKM) 健康至关重要,但仍然具有挑战性.
- 现有的生物标志物往往缺乏准确性或需要侵入性程序.
研究的目的:
- 开发和验证基于血蛋白质的评分来量化肝脂肪.
- 评估得分与CKM疾病的关联及其对事件CKM结果的预测能力.
- 探索蛋白质组分数和多基因风险分数 (PRS) 之间的相互作用.
主要方法:
- 使用英国生物库数据 (n=5,320) 开发和验证62蛋白和10蛋白LFC评分.
- 对MRI衍生的质子密度脂肪分数 (MRI-PDFF) 的诊断准确性的评估.
- 与16个心脏代谢风险标志物和13个事件CKM结果的关联分析在一个更大的队列中 (n=45,444).
主要成果:
- 与脂肪肝指数 (FLI) (AUC=0.850对比0.794) 相比,10种蛋白质的LFC得分显示,肝硬化症的诊断准确度更高.
- 该得分与16个心脏代谢风险标志物有显著关联,并预测了13个事件CKM结果,包括MASLD,T2D,CKD和CHD.
- 当将得分添加到标准风险因子和FLI时,对于8-10个CKM结果的风险预测显著改善,与T2D的PRS有着显著的相互作用.
结论:
- 10蛋白质血评分准确量化肝脂肪,并预测心脏代谢风险.
- 这种蛋白质组分数为MRI提供了一个实用的,非侵入性的替代方案,用于评估LFC和CKM疾病风险.
- 该分数整合了遗传风险信息,为精确的预防策略铺平了道路.
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