Organoids in drug discovery and development: emerging technologies to transition beyond animal models.

IF 7.3 2区 医学 Q1 PHARMACOLOGY & PHARMACY
Jolene Phelps, Amanda Orr, Stephanie M Willerth
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引用次数: 0

Abstract

Introduction: High translational failure rates and ethical concerns surrounding animal models are driving the development of technologies to improve the drug development process. Organoids, three-dimensional self-organizing structures derived from stem cells, provide scalable, human-relevant platforms that recapitulate aspects of native tissue architecture and physiology with the potential to enhance predictive assessment of drug efficacy and toxicity.

Areas covered: This review evaluates the potential for organoids to complement and, where scientifically feasible, reduce or eliminate animal testing. It highlights advancements and enabling technologies, including bioprinting, organ-on-chip, bioreactors, and machine learning, that support increasing organoid complexity and physiological relevance. Furthermore, it explores evolving regulatory frameworks and industry adoption while discussing practical challenges and ethical complexities to inform future development. The literature was surveyed up to August 2026 through PubMed and ClinicalTrials.gov, with industry reports retrieved through Google search.

Expert opinion: The future of drug discovery lies in a strategic transition toward human-relevant systems. Organoid technologies provide value across stages of drug development, from high-throughput screening and mechanistic studies to predicting patient-specific treatment response, while reducing reliance on animal testing and supporting increased patient safety and efficiency. However, challenges in standardization, morphological complexity, heterogeneity, and cellular maturation currently limit their broad application.

药物发现和开发中的类器官:超越动物模型的新兴技术。
导论:高转译失败率和围绕动物模型的伦理问题正在推动技术的发展,以改善药物开发过程。类器官是来源于干细胞的三维自组织结构,它提供了可扩展的、与人类相关的平台,概括了天然组织结构和生理学的各个方面,具有增强药物疗效和毒性预测评估的潜力。涵盖领域:本综述评估了类器官补充的潜力,并在科学可行的情况下减少或消除动物试验。它强调了包括生物打印、器官芯片、生物反应器和机器学习在内的进步和使能技术,这些技术支持增加类器官的复杂性和生理相关性。此外,它还探讨了不断发展的监管框架和行业采用,同时讨论了实际挑战和道德复杂性,以告知未来的发展。通过PubMed和ClinicalTrials.gov对文献进行调查,直至2026年8月,通过谷歌搜索检索行业报告。专家意见:药物发现的未来在于向人类相关系统的战略过渡。类器官技术在药物开发的各个阶段提供了价值,从高通量筛选和机制研究到预测患者特异性治疗反应,同时减少了对动物试验的依赖,并支持提高患者的安全性和效率。然而,在标准化、形态复杂性、异质性和细胞成熟方面的挑战目前限制了它们的广泛应用。
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来源期刊
CiteScore
10.20
自引率
1.60%
发文量
78
审稿时长
6-12 weeks
期刊介绍: Expert Opinion on Drug Discovery (ISSN 1746-0441 [print], 1746-045X [electronic]) is a MEDLINE-indexed, peer-reviewed, international journal publishing review articles on novel technologies involved in the drug discovery process, leading to new leads and reduced attrition rates. Each article is structured to incorporate the author’s own expert opinion on the scope for future development. The Editors welcome: Reviews covering chemoinformatics; bioinformatics; assay development; novel screening technologies; in vitro/in vivo models; structure-based drug design; systems biology Drug Case Histories examining the steps involved in the preclinical and clinical development of a particular drug The audience consists of scientists and managers in the healthcare and pharmaceutical industry, academic pharmaceutical scientists and other closely related professionals looking to enhance the success of their drug candidates through optimisation at the preclinical level.
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