Combining multiomics and drug perturbation profiles to identify muscle-specific treatments for spinal muscular atrophy
Publication date
2021-07-08
Editors
Advisors
Supervisors
Document Type
Article
Metadata
Show full item recordCollections
License
cc_by
Abstract
Spinal muscular atrophy (SMA) is a neuromuscular disorder caused by loss of survival motor neuron (SMN) protein. While SMN restoration therapies are beneficial, they are not a cure. We aimed to identify potentially novel treatments to alleviate muscle pathology combining transcriptomics, proteomics, and perturbational data sets. This revealed potential drug candidates for repurposing in SMA. One of the candidates, harmine, was further investigated in cell and animal models, improving multiple disease phenotypes, including lifespan, weight, and key molecular networks in skeletal muscle. Our work highlights the potential of multiple and parallel data-driven approaches for the development of potentially novel treatments for use in combination with SMN restoration therapies.
Keywords
Bioinformatics, Drug therapy, Genetic diseases, Muscle Biology, Neuroscience, General Medicine
Citation
Meijboom, K E, Volpato, V, Monzón-Sandoval, J, Hoolachan, J M, Hammond, S M, Abendroth, F, de Jong, O G, Hazell, G, Ahlskog, N, Wood, M J A, Webber, C & Bowerman, M 2021, 'Combining multiomics and drug perturbation profiles to identify muscle-specific treatments for spinal muscular atrophy', JCI insight, vol. 6, no. 13, 149446, pp. 1-23. https://doi.org/10.1172/jci.insight.149446