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用于模拟心脏疾病的工程化人心组织。

Engineered human cardiac tissues for modeling heart diseases.

机构信息

Department of Biotechnology, Yonsei University, Seoul 03722, Korea.

Department of Biotechnology, Yonsei University, Seoul 03722; Center for Nanomedicine, Institute for Basic Science (IBS), Seoul 03722, Korea.

出版信息

BMB Rep. 2023 Jan;56(1):32-42. doi: 10.5483/BMBRep.2022-0185.

Abstract

Heart disease is one of the major life-threatening diseases with high mortality and incidence worldwide. Several model systems, such as primary cells and animals, have been used to understand heart diseases and establish appropriate treatments. However, they have limitations in accuracy and reproducibility in recapitulating disease pathophysiology and evaluating drug responses. In recent years, three-dimensional (3D) cardiac tissue models produced using tissue engineering technology and human cells have outperformed conventional models. In particular, the integration of cell reprogramming techniques with bioengineering platforms (e.g., microfluidics, scaffolds, bioprinting, and biophysical stimuli) has facilitated the development of heart-ona- chip, cardiac spheroid/organoid, and engineered heart tissue (EHT) to recapitulate the structural and functional features of the native human heart. These cardiac models have improved heart disease modeling and toxicological evaluation. In this review, we summarize the cell types for the fabrication of cardiac tissue models, introduce diverse 3D human cardiac tissue models, and discuss the strategies to enhance their complexity and maturity. Finally, recent studies in the modeling of various heart diseases are reviewed. [BMB Reports 2023; 56(1): 32-42].

摘要

心脏病是全球范围内死亡率和发病率较高的主要危及生命的疾病之一。已经使用了几种模型系统,如原代细胞和动物,来了解心脏病并建立适当的治疗方法。然而,它们在准确再现疾病病理生理学和评估药物反应方面的准确性和可重复性方面存在局限性。近年来,使用组织工程技术和人类细胞产生的三维(3D)心脏组织模型已经超越了传统模型。特别是,细胞重编程技术与生物工程平台(例如微流控、支架、生物打印和生物物理刺激)的整合,促进了心脏芯片、心脏球体/类器官和工程化心脏组织(EHT)的发展,以再现天然人类心脏的结构和功能特征。这些心脏模型提高了心脏病建模和毒理学评估的水平。在这篇综述中,我们总结了用于制造心脏组织模型的细胞类型,介绍了多种 3D 人类心脏组织模型,并讨论了增强其复杂性和成熟度的策略。最后,回顾了最近在各种心脏疾病建模方面的研究。[BMB 报告 2023;56(1):32-42]。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ccd/9887099/0fc15b091550/bmb-56-1-32-f1.jpg

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