Integrative Transcriptomic and Network-Based Analysis of Neuromuscular Diseases

Neuromuscular diseases (NMDs) like Duchenne muscular dystrophy (DMD), limb-girdle muscular dystrophy (LGMD), and amyotrophic lateral sclerosis (ALS) are rare, progressive disorders with complex molecular mechanisms. Traditional transcriptomic analyses often struggle to capture systems-level dysregulation, especially given the small sample sizes typical of rare disease studies. Our differential expression analysis of eight public RNA-seq datasets from various cell types in DMD, LGMD, and ALS revealed not only disease-relevant pathways but also unexpected enrichments, such as renal development, suggesting systemic impacts beyond muscle tissue. To address limitations in capturing broader molecular mechanisms, we applied an integrative systems biology approach combining differential expression data, protein-protein interaction (PPI) networks, and network embedding techniques. Comparative functional enrichment revealed shared pathways, including glycosaminoglycan binding in both DMD and <i>FUS</i>-related ALS, implicating extracellular matrix-protein interactions in <i>FUS</i> mutation effects. Mapping DEGs onto the human PPI network and assessing their proximity to causal genes uncovered dysregulated non-coding RNAs, such as <i>PAX8-AS1</i>, <i>SBF2-AS1</i>, and <i>NEAT1</i>, potentially indicating common regulatory roles. We also found candidate genes within disease-proximal clusters, like <i>HS3ST3A1</i>, which may contribute to pathogenesis. Overall, this integrative approach reveals shared transcriptional programs and novel targets, advancing our understanding and potential treatment strategies for NMDs.