Rossing Kasper, Bosselmann Helle Skovmand, Gustafsson Finn, Zhang Zhen-Yu, Gu Yu-Mei, Kuznetsova Tatiana, Nkuipou-Kenfack Esther, Mischak Harald, Staessen Jan A, Koeck Thomas, Schou Morten
Department of Cardiology, Rigshospitalet, University Hospital of Copenhagen, Copenhagen, Denmark.
Department of Cardio-, Nephro-, and Endocrinology, North Zealand Hospital, University of Copenhagen, Copenhagen, Denmark.
PLoS One. 2016 Jun 16;11(6):e0157167. doi: 10.1371/journal.pone.0157167. eCollection 2016.
Biomarker discovery and new insights into the pathophysiology of heart failure with reduced ejection fraction (HFrEF) may emerge from recent advances in high-throughput urinary proteomics. This could lead to improved diagnosis, risk stratification and management of HFrEF.
Urine samples were analyzed by on-line capillary electrophoresis coupled to electrospray ionization micro time-of-flight mass spectrometry (CE-MS) to generate individual urinary proteome profiles. In an initial biomarker discovery cohort, analysis of urinary proteome profiles from 33 HFrEF patients and 29 age- and sex-matched individuals without HFrEF resulted in identification of 103 peptides that were significantly differentially excreted in HFrEF. These 103 peptides were used to establish the support vector machine-based HFrEF classifier HFrEF103. In a subsequent validation cohort, HFrEF103 very accurately (area under the curve, AUC = 0.972) discriminated between HFrEF patients (N = 94, sensitivity = 93.6%) and control individuals with and without impaired renal function and hypertension (N = 552, specificity = 92.9%). Interestingly, HFrEF103 showed low sensitivity (12.6%) in individuals with diastolic left ventricular dysfunction (N = 176). The HFrEF-related peptide biomarkers mainly included fragments of fibrillar type I and III collagen but also, e.g., of fibrinogen beta and alpha-1-antitrypsin.
CE-MS based urine proteome analysis served as a sensitive tool to determine a vast array of HFrEF-related urinary peptide biomarkers which might help improving our understanding and diagnosis of heart failure.
射血分数降低的心力衰竭(HFrEF)的生物标志物发现以及对其病理生理学的新见解可能源于高通量尿液蛋白质组学的最新进展。这可能会改善HFrEF的诊断、风险分层和管理。
通过在线毛细管电泳与电喷雾电离微飞行时间质谱联用(CE-MS)分析尿液样本,以生成个体尿液蛋白质组图谱。在最初的生物标志物发现队列中,对33例HFrEF患者和29例年龄和性别匹配的无HFrEF个体的尿液蛋白质组图谱进行分析,结果鉴定出103种在HFrEF中排泄有显著差异的肽段。这103种肽段被用于建立基于支持向量机的HFrEF分类器HFrEF103。在随后的验证队列中,HFrEF103能够非常准确地(曲线下面积,AUC = 0.972)区分HFrEF患者(N = 94,敏感性 = 93.6%)和有或无肾功能损害及高血压的对照个体(N = 552,特异性 = 92.9%)。有趣的是,HFrEF103在舒张性左心室功能障碍个体(N = 176)中敏感性较低(12.6%)。与HFrEF相关的肽生物标志物主要包括I型和III型纤维状胶原的片段,但也包括例如纤维蛋白原β和α-1-抗胰蛋白酶的片段。
基于CE-MS的尿液蛋白质组分析是一种灵敏的工具,可用于确定大量与HFrEF相关的尿液肽生物标志物,这可能有助于增进我们对心力衰竭的理解和诊断。