Matrix metalloproteinase-1 and interleukin-17A are associated with previous plaque disruption: a combined proteomics and optical coherence tomography study.

IF 2 4区医学 Q3 CARDIAC & CARDIOVASCULAR SYSTEMS

Coronary artery disease Pub Date : 2026-06-01 Epub Date: 2025-11-19 DOI:10.1097/MCA.0000000000001593

Marco Covani, Giampaolo Niccoli, Takayuki Niida, Yoshiyasu Minami, Riccardo Scalamera, Daichi Fujimoto, Sunao Nakamura, Akihiro Nakajima, Kahraman Tanriverdi, Rocco Vergallo, Italo Porto, Iris McNulty, Hang Lee, Taishi Yonetsu, Ik-Kyung Jang

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引用次数: 0

Abstract

Objectives: Plaque disruption and subsequent healing are important contributors to coronary plaque progression; however, the biological mechanisms underlying this process remain incompletely understood. Optical coherence tomography (OCT) enables the identification of previously disrupted plaques, referred to as layered plaques. Proteomic analysis can characterize the molecular signature of layered plaques, providing insights into the biology of plaque disruption and healing. Furthermore, layered plaques indicate a more advanced stage of atherosclerotic disease, and their noninvasive identification could enhance patient risk stratification. This study aimed to identify plasma proteins associated with layered plaques at the culprit lesion in patients with stable angina pectoris (SAP).

Methods: Patients undergoing coronary angiography and OCT for SAP, with periprocedural blood sample collection, were enrolled. A proteomic analysis was subsequently performed, assessing 1470 proteins using the Olink explore 1536 reagent kit.

Results: Among 51 patients, OCT identified 31 (60.8%) patients with layered plaques at the culprit lesion. Patients with layered plaques exhibited 2.23- and 2.11-fold higher concentrations of interleukin-17A (IL17A) and matrix metalloproteinase-1 (MMP1), respectively ( P = 0.013 and P < 0.001), compared to those without layered plaques. Multivariable regression models demonstrated that IL17A and MMP1 were associated with layered plaques independent of known predictors (diameter stenosis > 70%, B2/C American College of Cardiology/American Heart Association lesion, and multivessel disease). Adding both proteins to the known predictors significantly improved the area under the curve (AUC) for layered plaque detection (AUC 0.831 vs. 0.581; P = 0.007).

Conclusion: In patients with SAP, IL17A, and MMP1 were independently associated with layered plaques identified by OCT.

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基质金属蛋白酶-1和白细胞介素- 17a与先前的斑块破裂有关：蛋白质组学和光学相干断层扫描的联合研究

目的：斑块破裂和随后的愈合是冠状动脉斑块进展的重要因素；然而，这一过程背后的生物学机制尚不完全清楚。光学相干断层扫描（OCT）能够识别先前被破坏的斑块，称为层状斑块。蛋白质组学分析可以表征层状斑块的分子特征，为斑块破坏和愈合的生物学提供见解。此外，层状斑块表明动脉粥样硬化疾病的晚期，它们的无创识别可以增强患者的风险分层。本研究旨在确定稳定型心绞痛（SAP）患者罪魁祸首病变处与层状斑块相关的血浆蛋白。方法：对接受冠状动脉造影和OCT检查的SAP患者，收集围术期血样。随后进行蛋白质组学分析，使用Olink explore 1536试剂盒评估1470个蛋白质。结果：51例患者中，OCT在罪魁祸首病变处发现了31例（60.8%）层状斑块。层状斑块患者的白细胞介素- 17a （IL17A）和基质金属蛋白酶-1 （MMP1）浓度分别高出2.23倍和2.11倍（P = 0.013和P = 70%，美国心脏病学会/美国心脏协会病变B2/C，多血管疾病）。将这两种蛋白添加到已知的预测因子中，可显著提高分层斑块检测的曲线下面积（AUC）（AUC 0.831 vs. 0.581; P = 0.007）。结论：在SAP患者中，IL17A和MMP1与OCT发现的层状斑块独立相关。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Coronary artery disease 医学-外周血管病

CiteScore

2.50

自引率

0.00%

发文量

190

审稿时长

6-12 weeks

期刊介绍： Coronary Artery Disease welcomes reports of original research with a clinical emphasis, including observational studies, clinical trials, translational research, novel imaging, pharmacology and interventional approaches as well as advances in laboratory research that contribute to the understanding of coronary artery disease. Each issue of Coronary Artery Disease is divided into four areas of focus: Original Research articles, Review in Depth articles by leading experts in the field, Editorials and Images in Coronary Artery Disease. The Editorials will comment on selected original research published in each issue of Coronary Artery Disease, as well as highlight controversies in coronary artery disease understanding and management. Submitted artcles undergo a preliminary review by the editor. Some articles may be returned to authors without further consideration. Those being considered for publication will undergo further assessment and peer-review by the editors and those invited to do so from a reviewer pool.