内皮功能障碍是血管老化的一个特征。

IF 7.5 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Nadia Akhiyat, Elias Hellou, Ilke Ozcan, Ghazi Alabdul Razzak, Amro Hajja, Nazanin Rajai, Nir Barzilai, Lilach O Lerman, Amir Lerman
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引用次数: 0

摘要

内皮功能障碍可视为血管衰老的最早特征,可能发生在没有传统心血管疾病危险因素的个体中。一旦出现,内皮功能障碍就会增加动脉粥样硬化、心血管疾病和中风或死亡等并发症的风险。识别具有血管衰老早期特征的个体仍然具有挑战性,并推动了与内皮功能障碍相关的生物、成像和数字标记的研究工作。本文综述了新兴的和传统的方法来识别早期内皮功能障碍患者,并总结了旨在缓解血管衰老过程的现有和实验性治疗方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Endothelial dysfunction as a feature of vascular aging.

Endothelial dysfunction can be regarded as the earliest feature of vascular aging and may occur in individuals without traditional risk factors for cardiovascular disease. Once present, endothelial dysfunction is known to increase the risk for atherosclerosis, cardiovascular diseases and complications such as stroke or death. Identification of individuals with early features of vascular aging remains challenging and has fuelled investigative efforts to associated biologic, imaging, and digital markers with endothelial dysfunction. This review highlights emerging and traditional methods to identify patients with early endothelial dysfunction and summarizes available and experimental therapies aimed at mitigating the vascular aging process.

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来源期刊
European journal of preventive cardiology
European journal of preventive cardiology CARDIAC & CARDIOVASCULAR SYSTEMS-
CiteScore
12.50
自引率
12.00%
发文量
601
审稿时长
3-8 weeks
期刊介绍: European Journal of Preventive Cardiology (EJPC) is an official journal of the European Society of Cardiology (ESC) and the European Association of Preventive Cardiology (EAPC). The journal covers a wide range of scientific, clinical, and public health disciplines related to cardiovascular disease prevention, risk factor management, cardiovascular rehabilitation, population science and public health, and exercise physiology. The categories covered by the journal include classical risk factors and treatment, lifestyle risk factors, non-modifiable cardiovascular risk factors, cardiovascular conditions, concomitant pathological conditions, sport cardiology, diagnostic tests, care settings, epidemiology, pharmacology and pharmacotherapy, machine learning, and artificial intelligence.
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