集成在hiPSC-CM芯片模型中的两种数学收缩元件的比较

Mohamadamin Forouzandehmehr, Nicolò Cogno, Jussi T. Koivumäki, J. Hyttinen, M. Paci
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引用次数: 2

摘要

人诱导多能干细胞衍生的心肌细胞(hiPSC-CMs)是体外药物测试和疾病研究的重要工具。由于收缩性已经成为主要的实验输出之一,hiPSC-CMs在硅模型中也应该具有力产生的机制。因此,我们将Rice2008和Negroni2015两个收缩元素(CE)整合到Paci2020 hiPSC-CM模型中。从剥皮版本的ce中模拟的力- ca2 +关系显示,ce的pCa50值非常接近:Rice2008和Negroni2015的pCa50值分别为6.17和6.10。然而,两条曲线的希尔系数分别为7.30和3.6。这种关系与人类工程心脏组织的体外数据一致。从模拟自发动作电位(APs)和Ca2+瞬态(CaTs)测量的大多数生物标志物与这两种ce的体外数据显示出良好的一致性。在节奏条件(1 Hz)和细胞外Ca2+浓度([Ca2+]o)为1.8 mM时,Paci2020+Rice2008的活性峰值力为0.011 nM/mm2, Paci2020+Negroni2015的活性峰值力为0.57 mN/mm2。这些值与先前在体外[Ca2+]o=1.8 mM时报道的0.26 mN/mm2峰值力在质量上相匹配。我们的结果为开发更复杂的hiPSC-CM模型打开了大门,该模型具有电生理学和生物力学的特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Comparison Between Two Mathematical Contractile Elements Integrated into an hiPSC-CM In-silico Model
Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) are a valuable tool for in vitro drug testing and disease studies. As contractility has become one of the main experimental outputs, hiPSC-CMs in silico models should also feature the mechanisms of force generation. Thus, we integrated two contractile elements (CE), Rice2008 and Negroni2015, into Paci2020 hiPSC-CM model. The simulated force-Ca2+ relationships from skinned versions of the CEs revealed rather close pCa50 values for both CEs: 6.17 and 6.10, respectively for Rice2008 and Negroni2015. However, Hill's coefficients for the two curves were 7.30 and 3.6. The relationships agreed with in vitro data from human engineered heart tissues. Most of the biomarkers measured from simulated spontaneous action potentials (APs) and Ca2+ transients (CaTs) showed good agreement with in vitro data for both CEs. The active peak force observed in paced conditions (1 Hz) and at extracellular Ca2+ concentration ([Ca2+]o) of 1.8 mM was 0.011 nM/mm2 for Paci2020+Rice2008 and 0.57 mN/mm2 for Paci2020+Negroni2015. These values match, qualitatively with the 0.26 mN/mm2 peak force reported previously in vitro at [Ca2+]o=1.8 mM Our results set an opening to develop more sophisticated hiPSC-CM models featuring both electrophysiology and biomechanics.
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