School of Biological Sciences, Nanyang Technological University , 60 Nanyang Drive, Singapore 637551, Singapore.
Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore & Cardiovascular Research Institute , Singapore 119228, Singapore.
J Proteome Res. 2018 Jan 5;17(1):499-515. doi: 10.1021/acs.jproteome.7b00651. Epub 2017 Nov 7.
The lack of precise biomarkers that identify patients at risk for myocardial injury and stable angina delays administration of optimal therapy. Hence, the search for noninvasive biomarkers that could accurately stratify patients with impending heart attack, from patients with stable coronary artery disease (CAD), is urgently needed in the clinic. Herein, we performed comparative quantitative proteomics on whole plasma sampled from patients with stable angina (NMI), acute myocardial infarction (MI), and healthy control subjects (Ctrl). We detected a total of 371 proteins with high confidence (FDR < 1%, p < 0.05) including 53 preliminary biomarkers that displayed ≥2-fold modulated expression in patients with CAD (27 associated with atherosclerotic stable angina, 26 with myocardial injury). In the verification phase, we used label-free LC-MRM-MS-based targeted method to verify the preliminary biomarkers in pooled plasma, excluded peptides that were poorly distinguished from background, and performed further validation of the remaining candidates in 49 individual plasma samples. Using this approach, we identified a final panel of eight novel candidate biomarkers that were significantly modulated in CAD (p < 0.05) including proteins associated with atherosclerotic stable angina that were implicated in endothelial dysfunction (F10 and MST1), proteins associated with myocardial injury reportedly involved in plaque destabilization (SERPINA3, CPN2, LUM), and in tissue protection/repair mechanisms (ORM2, ACTG1, NAGLU). Taken together, our data showed that candidate biomarkers with potential diagnostic values can be successfully detected in nondepleted human plasma using an iTRAQ/MRM-based discovery-validation approach and demonstrated the plausible clinical utility of the proposed panel in discriminating atherosclerotic stable angina from myocardial injury in the studied cohort.
缺乏能够识别心肌损伤和稳定型心绞痛高危患者的精确生物标志物,导致优化治疗的延迟。因此,迫切需要在临床上寻找非侵入性的生物标志物,以便能够准确地区分即将发生心脏病发作的患者和稳定型冠心病(CAD)患者。在此,我们对来自稳定型心绞痛(NMI)、急性心肌梗死(MI)和健康对照(Ctrl)患者的全血浆进行了比较定量蛋白质组学分析。我们共检测到了 371 种具有高置信度的蛋白质(FDR < 1%,p < 0.05),其中包括 53 种初步的生物标志物,这些标志物在 CAD 患者中表现出≥2 倍的表达调节(27 种与动脉粥样硬化性稳定型心绞痛相关,26 种与心肌损伤相关)。在验证阶段,我们使用无标签 LC-MRM-MS 基于靶向的方法在混合血浆中验证了初步的生物标志物,排除了与背景区分较差的肽,并在 49 个个体血浆样本中进一步验证了剩余候选物。通过这种方法,我们确定了一个由 8 个新型候选生物标志物组成的最终面板,这些标志物在 CAD 中存在显著调节(p < 0.05),包括与内皮功能障碍相关的(F10 和 MST1)、与斑块不稳定有关的据报道涉及心肌损伤的(SERPINA3、CPN2、LUM)以及组织保护/修复机制(ORM2、ACTG1、NAGLU)的蛋白质。总的来说,我们的数据表明,使用 iTRAQ/MRM 基于发现-验证的方法可以在非耗竭的人类血浆中成功检测到具有潜在诊断价值的候选生物标志物,并证明了所提出的标志物在区分研究队列中动脉粥样硬化性稳定型心绞痛和心肌损伤方面的潜在临床应用价值。