A transcriptomics-based drug repositioning approach to identify drugs with similar activities for the treatment of muscle pathologies in spinal muscular atrophy (SMA) models.

Hoolachan, Joseph M; McCallion, Eve; Sutton, Emma R; Çetin, Özge; Pacheco-Torres, Paloma; Dimitriadi, Maria; Sari, Suat; Miller, Gavin J; Okoh, Magnus; Walter, Lisa M; Claus, Peter; Wood, Matthew JA; Tonge, Daniel; Bowerman, Melissa

Abstract

Spinal muscular atrophy (SMA) is a genetic neuromuscular disorder caused by the reduction of survival of motor neuron (SMN) protein levels. Although three SMN-augmentation therapies are clinically approved that significantly slow down disease progression, they are unfortunately not cures. Thus, complementary SMN-independent therapies that can target key SMA pathologies and that can support the clinically approved SMN-dependent drugs are the forefront of therapeutic development. We have previously demonstrated that prednisolone, a synthetic glucocorticoid (GC) improved muscle health and survival in severe Smn-/-;SMN2 and intermediate Smn2B/- SMA mice. However, long-term administration of prednisolone can promote myopathy. We thus wanted to identify genes and pathways targeted by prednisolone in skeletal muscle to discover clinically approved drugs that are predicted to emulate prednisolone's activities. Using an RNA-sequencing, bioinformatics, and drug repositioning pipeline on skeletal muscle from symptomatic prednisolone-treated and untreated Smn-/-; SMN2 SMA and Smn+/-; SMN2 healthy mice, we identified molecular targets linked to prednisolone's ameliorative effects and a list of 580 drug candidates with similar predicted activities. Two of these candidates, metformin and oxandrolone, were further investigated in SMA cellular and animal models, which highlighted that these compounds do not have the same ameliorative effects on SMA phenotypes as prednisolone; however, a number of other important drug targets remain. Overall, our work further supports the usefulness of prednisolone's potential as a second-generation therapy for SMA, identifies a list of potential SMA drug treatments and highlights improvements for future transcriptomic-based drug repositioning studies in SMA. [Abstract copyright: © The Author(s) 2023. Published by Oxford University Press.]

Citation

Hoolachan, J. M., McCallion, E., Sutton, E. R., Çetin, Ö., Pacheco-Torres, P., Dimitriadi, M., …Bowerman, M. (2024). A transcriptomics-based drug repositioning approach to identify drugs with similar activities for the treatment of muscle pathologies in spinal muscular atrophy (SMA) models. Human molecular genetics, 33(5), 400–425. https://doi.org/10.1093/hmg/ddad192

• Journal Article Type: Article
• Acceptance Date: Nov 3, 2023
• Online Publication Date: Nov 8, 2023
• Publication Date: Mar 1, 2024
• Deposit Date: Nov 3, 2023
• Publicly Available Date: Nov 9, 2024
• Journal: Human molecular genetics
• Print ISSN: 1460-2083
• Publisher: Oxford University Press
• Peer Reviewed: Peer Reviewed
• Volume: 33
• Issue: 5
• Article Number: ddad192
• Pages: 400–425
• DOI: https://doi.org/10.1093/hmg/ddad192
• Keywords: spinal muscular atrophy, drug repurposing, animal models, skeletal muscle, transcriptomics
• Public URL: https://keele-repository.worktribe.com/output/618870
• Publisher URL: https://academic.oup.com/hmg/advance-article/doi/10.1093/hmg/ddad192/7382155