Okai Yoshiko, Kaushik Emily Pfeiffer, Sameshima Tomoya, Feric Nicole, Singh Rishabh, Pallotta Isabella, Bogdanowicz Danielle R, Gustilo Marietta M, Harada Kosuke, Baker Kevin S, Shinozawa Tadahiro
Drug Safety Research and Evaluation, Takeda Pharmaceutical Company Limited, Kanagawa 251-8555, Japan.
Drug Safety Research and Evaluation, Takeda Development Center Americas, Inc, Cambridge, MA 02139, United States.
Toxicol Sci. 2025 Jun 1;205(2):401-416. doi: 10.1093/toxsci/kfaf033.
Safety attrition due to drug-induced inotropic changes remains a significant risk factor for drug development. Mitigating these events during early screening remains challenging. Several in vitro predictive models have been developed to address these issues, with varying success in detecting drug-induced inotropic changes. In this study, we compared traditional two-dimensional human-induced pluripotent stem cell-derived cardiomyocytes (2D hiPSC-CMs) with three-dimensional engineered cardiac tissues (3D ECTs) to assess their ability to detect drug-induced inotropic changes in 17 drugs with known mechanisms of action. The models were exposed to various test compounds, and their responses were evaluated by measuring either the active force or maximum contraction speed. The 3D ECTs successfully detected all the tested positive inotropes, whereas the 2D hiPSC-CMs failed to detect the 2 compounds. Both models demonstrated high predictability for negative inotropy and showed similar results for detecting non-active compounds, except for higher concentrations of phentolamine, zimelidine, and tamsulosin. Irregular beating was less likely to occur in the 3D ECTs, suggesting that 3D ECTs provided superior detection of contractility compared to 2D hiPSC-CMs. Genetic analysis revealed a more mature phenotype for the 3D ECTs compared to the 2D hiPSC-CMs, and the compound-related target expression was comparable to that in the adult human heart tissues. The 3D ECTs captured inotropic changes more accurately and thus represented a more translatable model than the 2D hiPSC-CMs. Overall, contractility assessment using the 3D ECTs could be advantageous for profiling candidate compounds and mechanistic investigations of hemodynamic changes during in vivo or clinical studies.
药物诱导的变力性变化导致的安全性损耗仍然是药物开发的一个重大风险因素。在早期筛选过程中减轻这些事件仍然具有挑战性。已经开发了几种体外预测模型来解决这些问题,但在检测药物诱导的变力性变化方面取得的成功程度各不相同。在本研究中,我们将传统的二维人诱导多能干细胞衍生心肌细胞(2D hiPSC-CMs)与三维工程心脏组织(3D ECTs)进行比较,以评估它们检测17种具有已知作用机制的药物诱导的变力性变化的能力。将这些模型暴露于各种测试化合物,并通过测量主动力或最大收缩速度来评估它们的反应。3D ECTs成功检测到了所有测试的正性肌力药物,而2D hiPSC-CMs未能检测到其中2种化合物。两种模型对负性肌力作用均显示出高预测性,并且在检测非活性化合物方面显示出相似的结果,但酚妥拉明、齐美利定和坦索罗辛的浓度较高时除外。3D ECTs中不规则跳动的可能性较小,这表明与2D hiPSC-CMs相比,3D ECTs在收缩性检测方面表现更优。基因分析显示,与2D hiPSC-CMs相比,3D ECTs具有更成熟的表型,并且化合物相关的靶标表达与成人心脏组织中的相当。3D ECTs更准确地捕捉到了变力性变化,因此比2D hiPSC-CMs代表了一种更具转化性的模型。总体而言,使用3D ECTs进行收缩性评估对于在体内或临床研究中分析候选化合物和血流动力学变化的机制研究可能具有优势。