Luce Eleanor, Duclos-Vallee Jean-Charles
Unité Mixte de Recherche (UMR_S) 1193, INSERM/Université Paris-Saclay, F-94800 Villejuif, France.
Pharmaceuticals (Basel). 2025 Jul 1;18(7):992. doi: 10.3390/ph18070992.
: Human pluripotent stem cells (hPSCs) and organoid technologies are transforming pharmaceutical research by providing models that more accurately reflect human physiology, genetic variability, and disease mechanisms. This review aims to assess how these systems improve the predictive power of preclinical drug development while addressing ethical concerns and supporting the advancement of precision medicine. : We conducted a comprehensive review of the recent literature focusing on the biological principles, technological developments, and pharmaceutical applications of hPSC- and organoid-based systems. Particular attention was given to patient-derived models, integration of omics approaches, bioengineering advances, and artificial intelligence applications in drug screening workflows. : hPSC- and organoid-based platforms outperform traditional 2D cultures and animal models in replicating human-specific pathophysiology, enabling personalized drug testing and improving predictions of therapeutic efficacy and safety. These technologies also align with the ethical principles of the 3Rs (replacement, reduction, and refinement) by reducing reliance on animal experimentation. However, challenges persist, including standardization of protocols, batch-to-batch variability, and scalability. Promising solutions involve automation, high-throughput screening, and multi-omics integration, which collectively enhance reproducibility and translational relevance. : Stem cell- and organoid-based systems offer a more human-relevant, ethical, and individualized approach to biomedical research. Despite current limitations, ongoing interdisciplinary innovations are expected to accelerate their clinical and industrial adoption. Collaborative efforts will be essential to standardize methodologies and fully realize the potential of these models in bridging preclinical and clinical drug development.
人类多能干细胞(hPSCs)和类器官技术正在通过提供更准确反映人类生理学、遗传变异性和疾病机制的模型来改变药物研究。本综述旨在评估这些系统如何提高临床前药物开发的预测能力,同时解决伦理问题并支持精准医学的发展。
我们对近期文献进行了全面综述,重点关注基于hPSC和类器官的系统的生物学原理、技术发展和药物应用。特别关注了患者来源的模型、组学方法的整合、生物工程进展以及人工智能在药物筛选工作流程中的应用。
基于hPSC和类器官的平台在复制人类特有的病理生理学方面优于传统的二维培养和动物模型,能够实现个性化药物测试并改善对治疗效果和安全性的预测。这些技术还通过减少对动物实验的依赖符合3R(替代、减少和优化)的伦理原则。然而,挑战依然存在,包括方案的标准化、批次间的变异性和可扩展性。有前景的解决方案包括自动化、高通量筛选和多组学整合,这些共同提高了可重复性和转化相关性。
基于干细胞和类器官的系统为生物医学研究提供了一种更符合人类情况、符合伦理且个性化的方法。尽管目前存在局限性,但正在进行的跨学科创新有望加速它们在临床和工业中的应用。合作努力对于标准化方法并充分实现这些模型在弥合临床前和临床药物开发之间差距的潜力至关重要。