Dysregulated microRNA–mRNA networks in SOD1G93A mouse skeletal muscle reveal metabolic impairments in ALS

Amyotrophic lateral sclerosis (ALS) is a multi-system disease in which skeletal muscle actively contributes to pathology, yet the regulatory circuits that drive muscle dysfunction remain unclear. We examined microRNA (miRNA)-messenger RNA (mRNA) interactions in the gastrocnemius of hSOD1G93A mice across presymptomatic, early- and late-symptomatic stages, using RNA-seq, bioinformatics, and RT-qPCR. Compared with hSOD1WT and non-transgenic controls, hSOD1G93A muscle showed mutation-specific transcriptome reprogramming: 48 dysregulated miRNAs and 558 mRNAs at presymptomatic, and 64 miRNAs and 685 mRNAs at late-symptomatic stages. Functional enrichment pinpointed carbohydrate-handling pathways (glycolysis/gluconeogenesis, pentose-phosphate, fructose-mannose metabolism) as the dominant downregulated gene sets. Network analysis revealed clusters in which upregulated miRNAs converged on, and showed inverse expression patterns relative to metabolic transcripts. RT-qPCR confirmed inverse expression of 10 candidate miRNAs and 11 metabolic mRNAs, substantiating miRNA-guided repression of glycolytic enzymes and energy-sensing nodes. Collectively, we show that SOD1G93A drives an early, sustained miRNA signature that dampens glycolysis gene expression, which could promote the fast-to-slow fibre-type transition and exacerbate energy deficit in ALS muscle. Targeting these circuits offers a strategy to restore metabolic balance and slow disease progression.

Authors

Institutions

Publication Details

Journal
Disease Models & Mechanisms
Published
2026-09-10
DOI
https://doi.org/10.1242/dmm.052963
Primary Topic
Amyotrophic Lateral Sclerosis Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Dysregulated microRNA–mRNA networks in SOD1G93A mouse skeletal muscle reveal metabolic impairments in ALS

Majid Hafezparast, Greig Joilin, Eleni Christoforidou, Andrew Dilley et al.
Disease Models & Mechanisms
Amyotrophic Lateral Sclerosis Research
article

Dysregulated microRNA–mRNA networks in SOD1G93A mouse skeletal muscle reveal metabolic impairments in ALS

Majid Hafezparast, Greig Joilin, Eleni Christoforidou, Andrew Dilley, Libby Moody
article en

Abstract

Amyotrophic lateral sclerosis (ALS) is a multi-system disease in which skeletal muscle actively contributes to pathology, yet the regulatory circuits that drive muscle dysfunction remain unclear. We examined microRNA (miRNA)-messenger RNA (mRNA) interactions in the gastrocnemius of hSOD1G93A mice across presymptomatic, early- and late-symptomatic stages, using RNA-seq, bioinformatics, and RT-qPCR. Compared with hSOD1WT and non-transgenic controls, hSOD1G93A muscle showed mutation-specific transcriptome reprogramming: 48 dysregulated miRNAs and 558 mRNAs at presymptomatic, and 64 miRNAs and 685 mRNAs at late-symptomatic stages. Functional enrichment pinpointed carbohydrate-handling pathways (glycolysis/gluconeogenesis, pentose-phosphate, fructose-mannose metabolism) as the dominant downregulated gene sets. Network analysis revealed clusters in which upregulated miRNAs converged on, and showed inverse expression patterns relative to metabolic transcripts. RT-qPCR confirmed inverse expression of 10 candidate miRNAs and 11 metabolic mRNAs, substantiating miRNA-guided repression of glycolytic enzymes and energy-sensing nodes. Collectively, we show that SOD1G93A drives an early, sustained miRNA signature that dampens glycolysis gene expression, which could promote the fast-to-slow fibre-type transition and exacerbate energy deficit in ALS muscle. Targeting these circuits offers a strategy to restore metabolic balance and slow disease progression.

Disease Models & Mechanisms
Brighton and Sussex Medical School (GB), University of Sussex (GB)
Affordable and clean energy
Openalex Percentile: Top 11%
Amyotrophic Lateral Sclerosis Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Dysregulated microRNA–mRNA networks in SOD1G93A mouse skeletal muscle reveal metabolic impairments in ALS — Majid Hafezparast, Greig Joilin, et al. · Disease Models & Mechanisms (2026) | TGRS Research Map | TGRS