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心脏疾病的临床前模型:临床科学家的综合概述。

Preclinical Models of Cardiac Disease: A Comprehensive Overview for Clinical Scientists.

机构信息

Translational Cardiothoracic Surgery Research Lab, Department of Cardiothoracic Surgery, Erasmus Medical Center, Rotterdam, The Netherlands.

Translational Electrophysiology Laboratory, Department of Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands.

出版信息

Cardiovasc Eng Technol. 2024 Apr;15(2):232-249. doi: 10.1007/s13239-023-00707-w. Epub 2024 Jan 16.

Abstract

For recent decades, cardiac diseases have been the leading cause of death and morbidity worldwide. Despite significant achievements in their management, profound understanding of disease progression is limited. The lack of biologically relevant and robust preclinical disease models that truly grasp the molecular underpinnings of cardiac disease and its pathophysiology attributes to this stagnation, as well as the insufficiency of platforms that effectively explore novel therapeutic avenues. The area of fundamental and translational cardiac research has therefore gained wide interest of scientists in the clinical field, while the landscape has rapidly evolved towards an elaborate array of research modalities, characterized by diverse and distinctive traits. As a consequence, current literature lacks an intelligible and complete overview aimed at clinical scientists that focuses on selecting the optimal platform for translational research questions. In this review, we present an elaborate overview of current in vitro, ex vivo, in vivo and in silico platforms that model cardiac health and disease, delineating their main benefits and drawbacks, innovative prospects, and foremost fields of application in the scope of clinical research incentives.

摘要

近几十年来,心脏病一直是全球范围内导致死亡和发病的主要原因。尽管在其治疗方面取得了重大进展,但对疾病进展的深刻理解仍受到限制。这种停滞不前的原因是缺乏真正理解心脏病及其病理生理学分子基础的具有生物学相关性和稳健性的临床前疾病模型,以及缺乏有效探索新治疗途径的平台。因此,基础和转化心脏研究领域引起了临床科学界科学家的广泛关注,而该领域迅速发展成为一系列精心设计的研究模式,具有不同的特点。因此,目前的文献缺乏针对临床科学家的、旨在选择用于转化研究问题的最佳平台的清晰完整的概述。在这篇综述中,我们详细介绍了目前用于模拟心脏健康和疾病的体外、离体、体内和计算平台,阐述了它们的主要优缺点、创新前景以及在临床研究激励范围内的主要应用领域。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0eeb/11116217/575daca0913a/13239_2023_707_Fig1_HTML.jpg

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