COMP的降低可作为主动脉夹层进展的预警指标

IF 8.4 1区医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS

JACC: Basic to Translational Science Pub Date : 2025-07-17 DOI:10.1016/j.jacbts.2025.101329

Zhuofan Li BS , Ze Gong PhD , Weihao Li MD , Yanghui Chen PhD , Rongbo Dai PhD , Shiyu Yang BS , Yufei Chen PhD , Fang Yu MS , Yi Fu MBBS, PhD , Wei Li MD , Dao Wen Wang MD, PhD , Yiting Jia PhD , Wei Kong MD, PhD

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引用次数: 0

摘要

胸主动脉夹层（TAD）是一种危及生命的心血管疾病，具有很高的发病率和死亡率。TAD监测和诊断的主要挑战是缺乏新的生物标志物。通过对362例TAD患者和136例对照组进行病例对照分析，观察到血浆软骨寡聚基质蛋白（COMP）水平显著且持续降低。在两种TAD小鼠模型中评估了COMP的保护作用。这些数据表明，血浆COMP水平降低可能作为TAD进展的一种新的生物标志物，COMP可以抑制TAD的发展并改善血管发病机制。

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The Reduction of COMP Serves as a Predictor for Warning of Aortic Dissection Progression

Thoracic aortic dissection (TAD) is a life-threatening cardiovascular disease that is associated with high morbidity and mortality. The prevailing challenge in TAD monitoring and diagnosis is the lack of novel biomarkers. A significant and sustained reduction in plasma cartilage oligomeric matrix protein (COMP) levels was observed through a case control analysis conducted in 362 TAD patients and 136 controls. The protective role of COMP was assessed in two TAD mouse models. These data suggested that a decreased plasma COMP level might serve as a novel biomarker for TAD progression and COMP could suppress the development of TAD and ameliorate vascular pathogenesis.

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来源期刊

JACC: Basic to Translational Science CARDIAC & CARDIOVASCULAR SYSTEMS-

CiteScore

14.20

自引率

1.00%

发文量

161

审稿时长

16 weeks

期刊介绍： JACC: Basic to Translational Science is an open access journal that is part of the renowned Journal of the American College of Cardiology (JACC). It focuses on advancing the field of Translational Cardiovascular Medicine and aims to accelerate the translation of new scientific discoveries into therapies that improve outcomes for patients with or at risk for Cardiovascular Disease. The journal covers thematic areas such as pre-clinical research, clinical trials, personalized medicine, novel drugs, devices, and biologics, proteomics, genomics, and metabolomics, as well as early phase clinical trial methodology.