Combining multiomics and drug perturbation profiles to identify muscle-specific treatments for spinal muscular atrophy

Publication date

2021-07-08

Authors

Meijboom, Katharina E
Volpato, Viola
Monzón-Sandoval, Jimena
Hoolachan, Joseph M
Hammond, Suzan M
Abendroth, Frank
de Jong, Olivier G.ORCID 0000-0002-5952-9617ISNI 0000000506363168
Hazell, Gareth
Ahlskog, Nina
Wood, Matthew J A

Editors

Advisors

Supervisors

Document Type

Article
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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