Jul 2026· Drug Discovery Today· Vol 31, pp.
104742
· 1 citation· 71 references
Medicine
TL;DR
This review summarizes drug screening studies in midbrain organoids across genetic, toxin-based, and α-synuclein preformed fibril models and critically assess current limitations and outline how artificial intelligence integration and assembloid platforms are advancing organoid-based drug discovery towards regulatory acceptance.
Abstract
Parkinson's disease (PD) poses a major unmet therapeutic challenge, with most drug candidates failing in clinical translation despite promising animal model data. Human induced pluripotent stem cell-derived midbrain organoids recapitulate key PD pathological hallmarks - including dopaminergic neuron loss, α-synuclein aggregation, and neuroinflammation - in a genetically defined, human-specific context. This review summarizes drug screening studies in midbrain organoids across genetic, toxin-based, and α-synuclein preformed fibril models. We highlight therapeutic interventions that rescue PD phenotypes, compare organoid and animal model systems, and discuss the personalized medicine potential of patient-derived organoids. We also critically assess current limitations and outline how artificial intelligence integration and assembloid platforms are advancing organoid-based drug discovery towards regulatory acceptance.
Two cases in which organoid-derived findings enabled FDA-approved clinical trials are highlighted, illustrating how organoids can reveal disease mechanisms that are inaccessible or incompletely reproduced in animal models.
A. A. Martins, A. Muotri· Stem Cells and Development· 0 citations
This review offers a framework for prioritizing organoid applications in PD research and translation by distinguishing established findings from emerging technologies and providing a realistic assessment of current limitations.
Dai-Yi Jiang, Shun-Yu Yao, Miao-Qiao Du et al.· Experimental Neurology· 0 citations
Overall, organoid technology represents a promising approach for precision medicine, personalized therapy, and next-generation drug development and continued development of standardized culture systems and multicellular organoid platforms may improve reproducibility and regulatory acceptance.
B. Sireesha, S. Meharaj, Saravanan Ravindran· 0 citations
Current work in the central nervous system (CNS) drug discovery space has demonstrated that the P2X7R is functional in disease-relevant iPSC models, supporting their suitability for pharmacological investigation.
Charleigh T. A. Agius, André D. J. Mckenzie, Kim Woollett et al.· ACS Chemical Neuroscience· 0 citations
This work proposes a ten-metric benchmarking framework and discusses the opportunities and remaining challenges for translational readiness in tauopathy modeling, and identifies three challenges for their translational readiness, maturity, disease-relevant cellular complexity, and pathological accuracy.
A. Guruacharya, Thomas Hartung, Roberta Souza dos Reis et al.· Stem Cell Reports· 0 citations
The incorporation of artificial intelligence (AI) and machine learning (ML) is expected to enhance the prediction of pharmacokinetic, pharmacodynamic, and toxicity parameters in AD drug design.
Sana Saffour, Turgut Seçkin Gül, H. Gul· Future Medicinal Chemistry· 0 citations
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