Wang Erika Yan, Rafatian Naimeh, Zhao Yimu, Lee Angela, Lai Benjamin Fook Lun, Lu Rick Xingze, Jekic Danica, Davenport Huyer Locke, Knee-Walden Ericka J, Bhattacharya Shoumo, Backx Peter H, Radisic Milica
Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, Ontario M5S 3G9, Canada.
Department of Physiology, Faculty of Medicine, University of Toronto, Toronto, Ontario M5S 1A8, Canada.
ACS Cent Sci. 2019 Jul 24;5(7):1146-1158. doi: 10.1021/acscentsci.9b00052. Epub 2019 Jun 4.
Myocardial fibrosis is a severe global health problem due to its prevalence in all forms of cardiac diseases and direct role in causing heart failure. The discovery of efficient antifibrotic compounds has been hampered due to the lack of a physiologically relevant disease model. Herein, we present a disease model of human myocardial fibrosis and use it to establish a compound screening system. In the Biowire II platform, cardiac tissues are suspended between a pair of poly(octamethylene maleate (anhydride) citrate) (POMaC) wires. Noninvasive functional readouts are realized on the basis of the deflection of the intrinsically fluorescent polymer. The disease model is constructed to recapitulate contractile, biomechanical, and electrophysiological complexities of fibrotic myocardium. Additionally, we constructed a heteropolar integrated model with fibrotic and healthy cardiac tissues coupled together. The integrated model captures the regional heterogeneity of scar lesion, border zone, and adjacent healthy myocardium. Finally, we demonstrate the utility of the system for the evaluation of antifibrotic compounds. The high-fidelity model system combined with convenient functional readouts could potentially facilitate the development of precision medicine strategies for cardiac fibrosis modeling and establish a pipeline for preclinical compound screening.
心肌纤维化是一个严重的全球健康问题,因为它在所有形式的心脏病中都普遍存在,并且在导致心力衰竭方面具有直接作用。由于缺乏生理相关的疾病模型,高效抗纤维化化合物的发现受到了阻碍。在此,我们提出了一种人类心肌纤维化疾病模型,并利用它建立了一个化合物筛选系统。在Biowire II平台中,心脏组织悬浮在一对聚(马来酸(酐)柠檬酸辛二酯)(POMaC)线之间。基于本征荧光聚合物的偏转实现了非侵入性功能读数。构建该疾病模型以概括纤维化心肌的收缩、生物力学和电生理复杂性。此外,我们构建了一个将纤维化和健康心脏组织耦合在一起的异极集成模型。该集成模型捕捉了瘢痕病变、边界区和相邻健康心肌的区域异质性。最后,我们展示了该系统在评估抗纤维化化合物方面的实用性。高保真模型系统与便捷的功能读数相结合,可能有助于开发用于心脏纤维化建模的精准医学策略,并建立一个临床前化合物筛选管道。