Journal article
Large-scale drug screening in iPSC-derived motor neurons from sporadic ALS patients identifies a potential combinatorial therapy
- Abstract:
- Heterogeneous and predominantly sporadic neurodegenerative diseases, such as amyotrophic lateral sclerosis (ALS), remain highly challenging to model. Patient-derived induced pluripotent stem cell (iPSC) technologies offer great promise for these diseases; however, large-scale studies demonstrating accelerated neurodegeneration in patients with sporadic disease are limited. Here we generated an iPSC library from 100 patients with sporadic ALS (SALS) and conducted population-wide phenotypic screening. Motor neurons derived from patients with SALS recapitulated key aspects of the disease, including reduced survival, accelerated neurite degeneration correlating with donor survival, transcriptional dysregulation and pharmacological rescue by riluzole. Screening of drugs previously tested in ALS clinical trials revealed that 97% failed to mitigate neurodegeneration, reflecting trial outcomes and validating the SALS model. Combinatorial testing of effective drugs identified baricitinib, memantine and riluzole as a promising therapeutic combination for SALS. These findings demonstrate that patient-derived iPSC models can recapitulate sporadic disease features, paving the way for a new generation of disease modeling and therapeutic discovery in ALS.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 6.9MB, Terms of use)
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- Publisher copy:
- 10.1038/s41593-025-02118-7
Authors
- Publisher:
- Nature Research
- Journal:
- Nature Neuroscience More from this journal
- Publication date:
- 2025-11-24
- Acceptance date:
- 2025-10-06
- DOI:
- EISSN:
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1546-1726
- ISSN:
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1097-6256
- Language:
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English
- Pubs id:
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2337481
- UUID:
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uuid_fdf5d768-7de1-4cc7-899f-7cd71cbec819
- Local pid:
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pubs:2337481
- Source identifiers:
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W4416599783
- Deposit date:
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2025-11-29
- ARK identifier:
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Terms of use
- Copyright date:
- 2025
- Licence:
- CC Attribution (CC BY)
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