ReviewNature reviews. Neuroscience2026
Using human 3D organoid models to gain mechanistic insight in motor neuron diseases.
Review in Nature reviews. Neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
Funding
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Abstract
Motor neuron diseases (MNDs) are caused by the progressive loss of motor neurons and eventually lead to paralysis and death. Once viewed as primarily neurocentric, MNDs are now recognized to be driven by intertwined cell-autonomous and non-cell-autonomous mechanisms. Dissecting these interactions is essential for developing effective therapies. Here, we describe induced pluripotent stem cell-derived 3D models that can be used to capture distinct aspects of MND pathology. We show that spinal cord organoids can be used to investigate cell-autonomous mechanisms and motor neuron-glia interactions (with axially elongated spinal cord organoids being particularly useful to study developmental vulnerability) as well as in 3D muscle and combined neuromuscular models to dissect muscle pathology and neuromuscular junction dismantling. In parallel, we discuss advances in bioengineering, machine learning and human trunk-like models, which together can begin to reproduce the coordinated co-development and spatial organization of the multiple tissues affected in MNDs. We discuss how these systems have advanced our understanding of disease mechanisms and highlight opportunities for drug repurposing. Finally, we propose a mechanism-informed and phenotype-informed framework to guide 3D model selection for future research and to prioritize promising avenues for therapeutic development.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.