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缺血性心脏病的差异蛋白质组谱:慢性稳定性心绞痛与心肌梗死的预后价值。概念验证。

Differential proteome profile in ischemic heart disease: Prognostic value in chronic angina versus myocardial infarction. A proof of concept.

机构信息

Institute of Life Sciences, Scuola Superiore Sant'Anna, P.zza Martiri della Libertà 33, 56127 Pisa, Italy.

Molecular Medicine Centre, Department of Surgery and Medical Sciences, University of Foggia, Viale Pinto 1, 71122 Foggia, Italy.

出版信息

Clin Chim Acta. 2017 Aug;471:68-75. doi: 10.1016/j.cca.2017.05.010. Epub 2017 May 10.

DOI:10.1016/j.cca.2017.05.010
PMID:28501389
Abstract

The initial clinical manifestation of ischemic heart disease (IHD) i.e. unheralded myocardial infarction (MI) versus chronic angina pectoris (AP) is statistically associated with adverse or mild disease progression respectively in the long-term follow-up. Here, we subjected AP and MI patients to blood proteomic analysis by Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (SELDI-TOF-MS) in order to investigate putative new prognostic biomarkers of IHD manifestation. We found several differentially expressed peaks but four of them (4176, 4475, 14,158m/z and 8922m/z for AP and MI, respectively) were most reliable. Two of them were identified; 14,158m/z peak was the double-charged form of Apolipoprotein A-I and its vasoprotective action accords with prominence in AP. The 4176m/z peak was related to FAM83C protein, while neither the 4475m/z peak nor the MI-linked 8922m/z peak could be identified. We conclude that SELDI-TOF-MS analysis may yield a panel of molecular signals able to retrospectively classify patients according to their clinical and molecular features, exploitable for predicting the natural course of IHD.

摘要

缺血性心脏病(IHD)的初始临床表现,即无预兆性心肌梗死(MI)与慢性心绞痛(AP),在长期随访中分别与不良或轻度疾病进展具有统计学相关性。在这里,我们通过表面增强激光解吸/电离飞行时间质谱(SELDI-TOF-MS)对 AP 和 MI 患者进行血液蛋白质组学分析,以研究 IHD 表现的潜在新预后生物标志物。我们发现了几个差异表达的峰,但其中四个(AP 和 MI 分别为 4176、4475、14,158m/z 和 8922m/z)最可靠。其中两个被鉴定出来;14,158m/z 峰是载脂蛋白 A-I 的双电荷形式,其血管保护作用与 AP 中的突出表现一致。4176m/z 峰与 FAM83C 蛋白有关,而 4475m/z 峰和 MI 相关的 8922m/z 峰则无法识别。我们得出结论,SELDI-TOF-MS 分析可能产生一组分子信号,能够根据患者的临床和分子特征进行回顾性分类,可用于预测 IHD 的自然病程。

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