经皮冠状动脉介入治疗前后不同中医证型冠状动脉粥样硬化性心脏病的蛋白质组学分析

Wang Zhibo, L I Ying, Wang Daoping, M A Bo, Miao Lan, Ren Junguo, Liu Jinghua, Liu Jianxun
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引用次数: 0

摘要

目的研究经皮冠状动脉介入治疗(PCI)后,中医 "气滞血瘀证"(QS)和 "气虚血瘀证"(QD)这两种冠心病亚型的蛋白分子机制:本研究共纳入了 227 例 QS 冠心病患者和 211 例 QD 冠心病患者,所有患者均接受了经皮冠状动脉介入治疗。采用无标记定量蛋白质组学分析两种亚型CAD患者在PCI术前和术后6个月的血清变化,旨在阐明PCI治疗两种不同中医综合征特征的CAD的干预机制:生化分析显示,PCI术后两组患者的肿瘤坏死因子-α、高密度脂蛋白胆固醇、血瘀证临床症状观察指标和Gensini水平均有明显变化;蛋白质组学分析发现,与对照组相比,QS组和QD组分别有79个和95个差异表达蛋白。补体 C8 α 链、补体因子 H、载脂蛋白 H、载脂蛋白 B、纤溶酶原、碳酸酐酶 2 和补体因子 I 在两组对比中均有改变。此外,富集分析表明,PCI 术后 QS 患者的细胞粘附和连接相关过程发生了变化,而 QD 组的脂质代谢相关通路(包括过氧化物酶体增殖激活受体信号通路和细胞外基质受体相互作用)发生了变化。蛋白质-蛋白质相互作用网络分析进一步富集了52个节点蛋白,包括脂蛋白B、脂蛋白(a)、补体C5、脂蛋白A4、补体C8α链、补体C8β链、补体C8γ链、脂蛋白H、脂蛋白A-Ⅱ、白蛋白、补体C4-B、脂蛋白C3等。这些蛋白质的功能网络被认为有助于以中医综合征为特征的 CAD 的病理生理学:目前的定量蛋白质组学研究初步确定了接受 PCI 治疗的不同中医亚型的 CAD 生物标志物,为了解与治疗各种中医亚型 CAD 相关的蛋白质谱奠定了基础。
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Proteomics analysis of coronary atherosclerotic heart disease with different Traditional Chinese Medicine syndrome types before and after percutaneous coronary intervention.

Objective: To investigate the underlying protein molecular mechanisms of "Qi stagnation and blood stasis syndrome" (QS) and "Qi deficiency and blood stasis syndrome" (QD), as two subtypes of coronary artery disease (CAD) in Traditional Chinese Medicine (TCM), following percutaneous coronary intervention (PCI).

Methods: In this study, a total of 227 CAD patients with QS and 211 CAD patients with QD were enrolled; all participants underwent PCI. Label-free quantification proteomics were employed to analyze the changes in serum in two subtypes of CAD patients before and 6 months after PCI, aiming to elucidate the intervention mechanism of PCI in treating CAD characterized by two different TCM syndromes.

Results: Biochemical analysis revealed significant changes in tumor necrosis factor-α, high density lipoprotein cholesterol, blood stasis clinical symptoms observation, and Gensini levels in both patient groups post-PCI; Proteomic analysis identified 79 and 95 differentially expressed proteins in the QS and QD patient groups, respectively, compared to their control groups. complement C8 alpha chain, complement factor H, apolipoprotein H, apolipoprotein B, plasminogen, carbonic anhydrase 2, and complement factor I were altered in both comparison groups. Furthermore, enrichment analysis demonstrated that cell adhesion and connectivity-related processes underwent changes in QS patients post-PCI, whereas lipid metabolism-related pathways, including the peroxisome proliferator-activated receptor signaling pathway and extracellular matrix receptor interaction, underwent changes in the QD group. The protein-protein interaction network analysis further enriched 52 node proteins, including apolipoprotein B, lipoprotein (a), complement C5, apolipoprotein A4, complement C8 alpha chain, complement C8 beta chain, complement C8 gamma chain, apolipoprotein H, apolipoprotein A-Ⅱ, albumin, complement C4-B, apolipoprotein C3, among others. The functional network of these proteins is posited to contribute to the pathophysiology of CAD characterized by TCM syndromes.

Conclusion: The current quantitative proteomic study has preliminarily identified biomarkers of CAD in different TCM subtypes treated with PCI, potentially laying the groundwork for understanding the protein profiles associated with the treatment of various TCM subtypes of CAD.

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