Pierson Jennifer Beck, Bahinski Anthony, Berridge Brian, Bramham Daniel, Bourcier Todd, Chaudhary Khuram W, Eldridge Sandy, Kanda Yasunari, Mattes William B, Oliphant Jessica, Pang Li, Savtchenko Alex, Siegel Jeffery, Simpson Natalie, Tu Chengyi, Wange Ronald, Wu Joseph C, Yang Xi
Health and Environmental Sciences Institute, Washington, DC, USA.
Vivodyne, Philadelphia, PA, USA.
Int J Toxicol. 2025 Sep 9:10915818251375348. doi: 10.1177/10915818251375348.
Technological advances and the desire to reduce dependence on animal models have brought human-relevant models to the forefront of drug development. This paradigm shift is leveraging the advances in systems and new approach methodologies (NAMs), which was the focus of a workshop convened by the Health and Environmental Sciences Institute (HESI) in May 2024. Highlights included discussions on predicting cardiac failure modes and the utility of human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs), microfluidic systems like BioFlux™, and engineered heart tissues in enhancing early-stage drug safety assessments. Regulatory perspectives underscored the challenges and potential for integrating NAMs into submissions, advocating for standardized reporting and validation protocols. Case studies where NAMs offered superior predictivity compared to traditional methods are emerging and offer insights into a roadmap forward. However, there remains a need for collaboration among academia, industry, and regulatory bodies to ensure robust validation and adoption. These efforts aim to refine cardiovascular drug discovery, reduce attrition rates, and accelerate the transition toward more ethical and efficient preclinical testing paradigms.
技术进步以及减少对动物模型依赖的愿望,已将与人类相关的模型推到了药物开发的前沿。这种范式转变正在利用系统和新方法学(NAMs)方面的进展,这也是健康与环境科学研究所(HESI)在2024年5月召开的一次研讨会的重点。亮点包括关于预测心力衰竭模式以及人类诱导多能干细胞衍生心肌细胞(hiPSC-CMs)、BioFlux™等微流控系统和工程心脏组织在加强早期药物安全性评估方面的效用的讨论。监管方面的观点强调了将NAMs纳入申报材料的挑战和潜力,主张采用标准化的报告和验证方案。与传统方法相比,NAMs具有更高预测性的案例研究正在出现,并为未来的路线图提供了见解。然而,学术界、产业界和监管机构之间仍需开展合作,以确保进行有力的验证和采用。这些努力旨在完善心血管药物发现、降低损耗率,并加速向更具伦理和效率的临床前测试范式的转变。