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炎症蛋白质小组:在一个横截面研究中探索对周围动脉疾病诊断的诊断见解

Ben Li^1,2,3,4, Rakan Nassereldine⁵, Farah Shaikh¹

¹Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, University of Toronto, Toronto, ON M5B 1W8, Canada.

Diagnostics (Basel, Switzerland)

|September 14, 2024

概括

像CINC-1,CD95和fractalkine这样的新生物标志物显示出对诊断外围动脉疾病 (PAD) 的希望. 这项研究使用这些蛋白质和临床数据开发了一个预测模型,有助于PAD查和管理.

科学领域:

生物化学生物化学
心血管医学心血管医学
生物标志物发现发现

背景情况:

循环中的蛋白质,如细胞因子诱导的中性粒细胞化学吸引剂1 (CINC-1),分化集群95 (CD95),骨素,T细胞免疫球蛋白和粘素域1 (TIM-1) 都与炎症过程有关.
虽然它们在神经和心血管疾病中的参与是公认的,但它们作为外围动脉疾病 (PAD) 生物标志物的实用性尚未得到研究.

研究的目的:

探索CINC-1,CD95,fractalkine和TIM-1作为外围动脉疾病 (PAD) 的诊断生物标志物的潜力.
开发和验证PAD诊断的预测模型,使用临床特征和已识别的生物标志物的组合.

主要方法:

一项涉及476名患者的横截面诊断研究 (312名患有PAD,164名没有PAD).
对CINC-1,CD95,fractalkine和TIM-1的血水平进行了测量.
使用临床数据和差异表达生物标志物进行PAD预测,采用10倍交叉验证来训练一个随机森林算法.

主要成果:

与没有PAD的患者相比,PAD患者的CINC-1,CD95和fractalkine水平显著升高,形成了一个由三个生物标志物组成的小组.
结合临床特征和三种生物标志物小组的预测模型实现了PAD诊断的接收器操作特征曲线 (AUROC) 下的面积为0.85.

结论:

结合临床特征和三种生物标志物 (CINC-1,CD95,fractalkine) 的预测模型显示了诊断PAD的高准确性.
这种算法可以帮助查PAD,风险分层,并为患者管理的临床决策提供信息,从而有可能改善结果.

关键词:

生物标志物生物标志物诊断诊断诊断诊断诊断诊断周围动脉疾病是什么

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