Heyse Wilfried, Vandewalle Vincent, Marot Guillemette, Amouyel Philippe, Bauters Christophe, Pinet Florence
UniversityLille, Inserm, CHU Lille, Institut Pasteur de Lille, U1167 - RID-AGE - Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, 59000 Lille, France.
Inria, Modal, 59000 Lille, France.
iScience. 2023 Feb 11;26(3):106171. doi: 10.1016/j.isci.2023.106171. eCollection 2023 Mar 17.
This study investigates the ability of high-throughput aptamer-based platform to identify circulating biomarkers able to predict occurrence of heart failure (HF), in blood samples collected during hospitalization of patients suffering from a first myocardial infarction (MI). REVE-1 (derivation) and REVE-2 (validation) cohorts included respectively 254 and 238 patients, followed up respectively 9 · 2 ± 4 · 8 and 7 · 6 ± 3 · 0 years. A blood sample collected during hospitalization was used for quantifying 4,668 proteins. Fifty proteins were significantly associated with long-term occurrence of HF with all-cause death as the competing event. -means, an unsupervised clustering method, identified two groups of patients based on expression levels of the 50 proteins. Group 2 was significantly associated with a higher risk of HF in both cohorts. These results showed that a subset of 50 selected proteins quantified during hospitalization of MI patients is able to stratify and predict the long-term occurrence of HF.
本研究调查了基于高通量适体的平台识别循环生物标志物的能力，这些生物标志物能够在首次心肌梗死（MI）患者住院期间采集的血液样本中预测心力衰竭（HF）的发生。REVE-1（衍生）队列和REVE-2（验证）队列分别包括254例和238例患者，随访时间分别为9.2±4.8年和7.6±3.0年。住院期间采集的血液样本用于定量4668种蛋白质。50种蛋白质与以全因死亡为竞争事件的HF长期发生显著相关。-均值是一种无监督聚类方法，根据这50种蛋白质的表达水平将患者分为两组。在两个队列中，第2组与更高的HF风险显著相关。这些结果表明，在MI患者住院期间定量的50种选定蛋白质的一个子集能够分层并预测HF的长期发生。
