Department of Medicine, Christchurch Heart Institute, University of Otago, Christchurch, New Zealand.
Department of Biochemistry, University of Otago, Dunedin, New Zealand.
Sci Rep. 2021 Feb 25;11(1):4605. doi: 10.1038/s41598-021-84046-7.
To identify circulating proteins predictive of acute cardiovascular disease events in the general population, we performed a proteomic screen in plasma from asymptomatic individuals. A "Discovery cohort" of 25 individuals who subsequently incurred a cardiovascular event within 3 years (median age = 70 years, 80% male) was matched to 25 controls remaining event-free for > 5 years (median age = 72 years, 80% male). Plasma proteins were assessed by data independent acquisition mass spectrometry (DIA-MS). Associations with cardiovascular events were tested using Cox regression, adjusted for the New Zealand Cardiovascular Risk Score. Concentrations of leading protein candidates were subsequently measured with ELISAs in a larger (n = 151) independent subset. In the Discovery cohort, 76 plasma proteins were robustly quantified by DIA-MS, with 8 independently associated with cardiovascular events. These included (HR = hazard ratio [95% confidence interval] above vs below median): fibrinogen alpha chain (HR = 1.84 [1.19-2.84]); alpha-2-HS-glycoprotein (also called fetuin A) (HR = 1.86 [1.19-2.93]); clusterin isoform 2 (HR = 1.59 [1.06-2.38]); fibrinogen beta chain (HR = 1.55 [1.04-2.30]); hemoglobin subunit beta (HR = 1.49 [1.04-2.15]); complement component C9 (HR = 1.62 [1.01-2.59]), fibronectin isoform 3 (HR = 0.60 [0.37-0.99]); and lipopolysaccharide-binding protein (HR = 1.58 [1.00-2.49]). The proteins for which DIA-MS and ELISA data were correlated, fibrinogen and hemoglobin, were analyzed in an Extended cohort, with broader inclusion criteria and longer time to events, in which these two proteins were not associated with incident cardiovascular events. We have identified eight candidate proteins that may independently predict cardiovascular events occurring within three years in asymptomatic, low-to-moderate risk individuals, although these appear not to predict events beyond three years.
为了鉴定出一般人群中预测急性心血管疾病事件的循环蛋白,我们对无症状个体的血浆进行了蛋白质组筛选。在随后 3 年内发生心血管事件的 25 名个体(中位年龄 70 岁,80%为男性)组成“发现队列”,并与未发生心血管事件超过 5 年的 25 名对照(中位年龄 72 岁,80%为男性)相匹配。使用数据非依赖性采集质谱(DIA-MS)评估血浆蛋白。使用 Cox 回归测试与心血管事件的相关性,校正新西兰心血管风险评分。随后,在一个更大的(n=151)独立子集中使用 ELISA 测量主要候选蛋白的浓度。在发现队列中,DIA-MS 可靠地定量了 76 种血浆蛋白,其中 8 种与心血管事件独立相关。这些蛋白包括(风险比[95%置信区间]高于或低于中位数):纤维蛋白原 alpha 链(HR=1.84[1.19-2.84]);α-2-HS-糖蛋白(也称为胎球蛋白 A)(HR=1.86[1.19-2.93]);簇蛋白同工型 2(HR=1.59[1.06-2.38]);纤维蛋白原 beta 链(HR=1.55[1.04-2.30]);血红蛋白亚单位 beta(HR=1.49[1.04-2.15]);补体成分 C9(HR=1.62[1.01-2.59]);纤维连接蛋白同工型 3(HR=0.60[0.37-0.99]);和脂多糖结合蛋白(HR=1.58[1.00-2.49])。DIA-MS 和 ELISA 数据相关的蛋白质,纤维蛋白原和血红蛋白,在扩展队列中进行了分析,该队列具有更广泛的纳入标准和更长的事件时间,在该队列中,这两种蛋白质与心血管事件的发生无关。我们已经鉴定出 8 种候选蛋白,它们可能独立预测无症状、低至中度风险个体三年内发生的心血管事件,但这些蛋白似乎不能预测三年后的事件。