细胞外基质组成控制着心脏组织中异构体的发育

Julia Erhardt, J. Brock, Stephan A Eisler, M. Hörning
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引用次数: 0

摘要

所有活组织的完整性和功能高度依赖于它们在细胞外基质(ECM)中的嵌入。它为细胞提供一定的刚性和各种类型的蛋白质,以保证单个细胞和组织的稳定性、营养和锚固性。这些特性对所有组织类型都有很大影响,包括这里讨论的心脏组织。在心肌中,组织僵硬起着特别关键的作用,因为它可以通过干扰自然电生理传导而损害正常功能。一个经常讨论但不完全理解的主题是另类。人们普遍认为,替代药物会在病理上扰乱自然心律,从而导致危及生命的医疗状况。先前的研究已经对心脏组织硬度对电生理动力学的影响有了深入的了解,但其形成的细节仍有待阐明。在这里,我们讨论了ECM硬度和基质蛋白组成的变化对心脏组织形态和动态交替模式的影响。采用高速生命成像,经典荧光染色和机器学习算法的组合,我们阐明了组织形态和机电动力学之间的关键关系。临床意义:利用高速生命成像,本研究旨在了解健康和患病心脏组织中组织形态、ECM组成和交替动力学之间的联系,为未来可能的应用、治疗和预测心脏疾病提供帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extracellular matrix composition controls the development of alternans in cardiac tissue
The integrity and functionality of all living tissue highly depends on their embedding in the extracellular matrix (ECM). It provides cells with a certain rigidity and various types of proteins to ensure stability, nutrition and anchorage of the single cells and tissue. These properties highly impact all tissue types, including the here discussed heart tissue. In cardiac muscle, tissue stiffness plays an especially critical role, since it can impair regular functions by disturbing natural electrophysiological conduction. An often discussed but not entirely understood subject is alternans. It is commonly ac-cepted that alternans can pathologically disturb natural cardiac rhythms and thereby lead to life-threatening medical conditions. Previous studies have gained insights on the influence of cardiac tissue stiffness on electrophysiological dynamics, but details about their formation remain to be elucidated. Here, we address the effects of variations in the ECM rigidity and matrix protein composition on the cardiac tissue morphology and dynamic alternans patterns. Employing a combination of high-speed life imaging, classical fluorescence staining and machine learning algorithms, we elucidate the critical relationship between tissue morphology and electromechanical dynamics. Clinical Relevance-Using high-speed life imaging, this work aims at understanding the connection between tissue morphology, ECM composition and alternans dynamics in healthy and diseased heart tissues for possible future applications, treatments and prediction of cardiac diseases.
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