Skip to main content
Search
Main content
JCI Insight
Published

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

Authors

Katharina E Meijboom, Viola Volpato, Jimena Monzón-Sandoval, Joseph M Hoolachan, Suzan M Hammond, Frank Abendroth, Olivier G de Jong, Gareth Hazell, Nina Ahlskog, Matthew Ja Wood, Caleb Webber, Melissa Bowerman

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.

PMID:34236053 | DOI:10.1172/jci.insight.149446

UK DRI Authors

Prof Caleb Webber

Director of Data Science & Group Leader

Combining state-of-the-art stem cell models with bioinformatics techniques to boost our understanding of the biological mechanisms underlying Parkinson’s disease

Prof Caleb Webber