心脏重症监护病房心源性休克的靶向蛋白质组分析

IF 3.9 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS European Heart Journal: Acute Cardiovascular Care Pub Date : 2024-08-28 DOI:10.1093/ehjacc/zuae068
Siddharth M Patel, Mathew S Lopes, David A Morrow, Andrea Bellavia, Ankeet S Bhatt, Kayleigh K Butler, Jessica D'Antonio, Michael Dunn, Antonio A Fagundes, Petr Jarolim, Ethan P Marin, Lori Morton, Benjamin O Olenchock, Balimkiz Senman, Danuzia S da Silva, Anubodh S Varshney, Erin A Bohula, David D Berg
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引用次数: 0

摘要

背景:我们试图利用高度多重蛋白质组学分析来描述与心源性休克(CS)相关的循环蛋白质生物标志物:这项分析采用了横断面病例对照研究设计,使用的是 2017-2020 年间入住心脏重症监护病房患者的生物库。病例为被判定患有CS的患者,对照组为无休克的心脏重症监护患者,包括孤立性低血压或心力衰竭(HF)患者子集。使用Olink平台分析了359个生物标记物,并进行了Bonferroni校正:分析对象包括239名接受心脏重症监护的患者(69名CS患者,170名非休克对照组患者)。经 Bonferroni 校正后,与所有对照组相比,共有 63 个生物标记物(17.7%)与 CS 显著相关。其中,9 个生物标记物在出现孤立性低血压和高血压的对照组子集中分别进行交叉验证后仍与 CS 显著相关,这些生物标记物是:chepsin D、成纤维细胞生长因子(FGF)-21 和-23、生长分化因子(GDF)-15、胰岛素样生长因子结合蛋白-1、N-末端前 B 型钠尿肽、骨生成素、oncostatin-M 特异性受体亚基 beta(OSMR)和可溶性 ST2 蛋白(sST2)。通过建立多标志物模型,确定了四种生物标志物可为 CS 诊断提供互补信息:SST2、FGF-23、CTSD 和 GDF-15:在这项对 CS 进行靶向蛋白质组分析的试验性研究中,我们发现了与非休克对照组(包括高血压或孤立性低血压患者)交叉验证时与 CS 显著相关的 9 个生物标志物,这说明靶向蛋白质组方法具有潜在的应用价值,可用于识别支持 CS 诊断的新型候选标志物。
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Targeted proteomic profiling of cardiogenic shock in the cardiac intensive care unit.

Aims: We sought to characterize circulating protein biomarkers associated with cardiogenic shock (CS) using highly multiplex proteomic profiling.

Methods and results: This analysis employed a cross-sectional case-control study design using a biorepository of patients admitted to a cardiac intensive care unit between 2017 and 2020. Cases were patients adjudicated to have CS, and controls were those presenting for cardiac critical care without shock, including subsets of patients with isolated hypotension or heart failure (HF). The Olink platform was used to analyse 359 biomarkers with Bonferroni correction. The analysis included 239 patients presenting for cardiac critical care (69 cases with CS, 170 non-shock controls). A total of 63 biomarkers (17.7%) were significantly associated with CS after Bonferroni correction compared with all controls. Of these, nine biomarkers remained significantly associated with CS when separately cross-validated in subsets of controls presenting with isolated hypotension and HF: cathepsin D, fibroblast growth factor (FGF)-21 and -23, growth differentiation factor (GDF)-15, insulin-like growth factor-binding protein-1, N-terminal pro-B-type natriuretic peptide, osteopontin, oncostatin-M-specific receptor subunit beta (OSMR), and soluble ST2 protein (sST2). Four biomarkers were identified as providing complementary information for CS diagnosis with development of a multi-marker model: sST2, FGF-23, CTSD, and GDF-15.

Conclusion: In this pilot study of targeted proteomic profiling in CS, we identified nine biomarkers significantly associated with CS when cross-validated against non-shock controls including those with HF or isolated hypotension, illustrating the potential application of a targeted proteomic approach to identify novel candidates that may support the diagnosis of CS.

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来源期刊
CiteScore
8.50
自引率
4.90%
发文量
325
期刊介绍: The European Heart Journal - Acute Cardiovascular Care (EHJ-ACVC) offers a unique integrative approach by combining the expertise of the different sub specialties of cardiology, emergency and intensive care medicine in the management of patients with acute cardiovascular syndromes. Reading through the journal, cardiologists and all other healthcare professionals can access continuous updates that may help them to improve the quality of care and the outcome for patients with acute cardiovascular diseases.
期刊最新文献
Answer: An unusual presentation of acute myocardial infarction. A warm November rain: illuminating new approaches in cardiogenic shock management. Frontloading the Fight: Early versus Delayed Percutaneous Sympathetic Blockade in Cardiac Electrical Storms. Sudden cardiac death after early-onset myocardial infarction: a multicentre longitudinal cohort study with a 20-year follow-up. Epidemiology of cardiogenic shock using the Shock Academic Research Consortium (SHARC) consensus definitions.
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