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围生期心肌病患者的蛋白质组学分析:ESC EORP PPCM 注册研究的生物标志物分析。

Proteomic Profiling in Patients With Peripartum Cardiomyopathy: A Biomarker Study of the ESC EORP PPCM Registry.

机构信息

Cape Heart Institute, Faculty of Health Sciences, University of Cape Town, South Africa.

Cape Heart Institute, Faculty of Health Sciences, University of Cape Town, South Africa; Division of Cardiology, Department of Medicine, Groote Schuur Hospital, Faculty of Health Sciences, University of Cape Town, South Africa.

出版信息

JACC Heart Fail. 2023 Dec;11(12):1708-1725. doi: 10.1016/j.jchf.2023.07.028. Epub 2023 Oct 4.

Abstract

BACKGROUND

Peripartum cardiomyopathy (PPCM) remains an important cause of maternal morbidity and mortality globally. The pathophysiology remains incompletely understood, and the diagnosis is often missed or delayed.

OBJECTIVES

This study explored the serum proteome profile of patients with newly diagnosed PPCM, as compared with matched healthy postpartum mothers, to unravel novel protein biomarkers that would further an understanding of the pathogenesis of PPCM and improve diagnostic precision.

METHODS

Study investigators performed untargeted serum proteome profiling using data-independent acquisition-based label-free quantitative liquid chromatography-tandem mass spectrometry on 84 patients with PPCM, as compared with 29 postpartum healthy controls (HCs). Significant changes in protein intensities were determined with nonpaired Student's t-tests and were further classified by using the Boruta algorithm. The proteins' diagnostic performance was evaluated by area under the curve (AUC) and validated using the 10-fold cross-validation.

RESULTS

Patients with PPCM presented with a mean left ventricular ejection fraction of 33.5% ± 9.3% vs 57.0% ± 8.8% in HCs (P < 0.001). Study investigators identified 15 differentially up-regulated and 14 down-regulated proteins in patients with PPCM compared with HCs. Seven of these proteins were recognized as significant by the Boruta algorithm. The combination of adiponectin, quiescin sulfhydryl oxidase 1, inter-α-trypsin inhibitor heavy chain, and N-terminal pro-B-type natriuretic peptide had the best diagnostic precision (AUC: 0.90; 95% CI: 0.84-0.96) to distinguish patients with PPCM from HCs.

CONCLUSIONS

Salient biologic themes related to immune response proteins, inflammation, fibrosis, angiogenesis, apoptosis, and coagulation were predominant in patients with PPCM compared with HCs. These newly identified proteins warrant further evaluation to establish their role in the pathogenesis of PPCM and potential use as diagnostic markers.

摘要

背景

围生期心肌病(PPCM)仍然是全球孕产妇发病率和死亡率的重要原因。其病理生理学仍不完全清楚,诊断常被遗漏或延迟。

目的

本研究通过比较新诊断的 PPCM 患者与匹配的产后健康母亲的血清蛋白质组谱,探讨其潜在的生物标志物,以进一步了解 PPCM 的发病机制,并提高诊断的准确性。

方法

研究人员对 84 例 PPCM 患者和 29 例产后健康对照组(HCs)进行了基于数据非依赖采集的无标记定量液相色谱-串联质谱血清蛋白质组学分析。采用非配对学生 t 检验确定蛋白质强度的显著变化,并采用 Boruta 算法进行进一步分类。采用曲线下面积(AUC)评估蛋白质的诊断性能,并采用 10 倍交叉验证进行验证。

结果

与 HCs 相比,PPCM 患者的左心室射血分数平均值为 33.5%±9.3%,而 HCs 为 57.0%±8.8%(P<0.001)。研究人员发现,与 HCs 相比,PPCM 患者有 15 种蛋白质上调,14 种蛋白质下调。Boruta 算法识别出其中 7 种蛋白质具有显著差异。脂联素、硫氧还蛋白氧化酶 1、α1-抗胰蛋白酶重链和 N 端脑利钠肽前体的组合具有最佳的诊断精度(AUC:0.90;95%CI:0.84-0.96),可区分 PPCM 患者和 HCs。

结论

与 HCs 相比,PPCM 患者中与免疫反应蛋白、炎症、纤维化、血管生成、细胞凋亡和凝血相关的显著生物学主题更为突出。这些新发现的蛋白质需要进一步评估,以确定它们在 PPCM 发病机制中的作用及其作为诊断标志物的潜在用途。

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