Muscle transcriptomics of alpha-sarcoglycanopathy highlights inflammatory pathways driving disease

Muscular dystrophies are a heterogeneous group of genetic disorders associated with an aberrant inflammatory response, that contributes to disease progression impairing regeneration and inducing fibrosis. Sarcoglycanopathies are recessively inherited limb-girdle muscular dystrophies (LGMDRs), in which the role of inflammation and its association with disease severity remains poorly understood, particularly in alpha-sarcoglycanopathy (LGMDR3). This study characterizes skeletal muscle and peripheral inflammatory signatures in sixteen LGMDR3 patients and eight unaffected individuals through bulk RNA sequencing with additional validation in Sgca-null mice. Patients were classified into mild and severe groups based on SGCA expression in muscle biopsy. Peripheral immunophenotype was assessed via flow cytometry analysis of peripheral blood mononuclear cells (PBMC). Principal Component Analysis showed a clear separation of severe LGMDR3 from mild LGMDR3 and unaffected individuals, with the latter two groups overlapping. Unsupervised hierarchical clustering analysis of the most variable genes identified distinct gene expression profiles between severe and mild LGMDR3 samples. Severe LGMD3 showed overexpression of innate immune system and T-cell activation pathways, with higher abundance of inflammatory infiltrate, mainly monocytes, cytotoxic T and dendritic cells. Notably, severe LGMD3 was characterised by enrichment of M1-polarized macrophages and pro-inflammatory chemokines, whereas M2-polarized monocytes predominated in mild cases. Similar inflammatory profiles were observed in Sgca-null mice. PBMC analysis revealed significantly increased CD8+, TH1 CD4+ lymphocytes and activated monocytes in LGMDR3 patients compared to controls. Severe LGMDR3 patients additionally showed overexpression of genes governing fibrosis and muscle tissue regeneration and exhibited clustering pattern similar to Duchenne Muscular Dystrophy patients. In conclusion, this study represents the first comprehensive characterization of LGMDR3 immunological profiles and demonstrated that inflammation plays a significant role in severe disease pathogenesis. The distinct immune signatures separating severe from mild cases provide a foundation for developing targeted anti-inflammatory therapies that may benefit for severe LGMDR3 patients with severe phenotype.

Authors

Institutions

Publication Details

Journal
Brain
Published
2025-10-24
DOI
https://doi.org/10.1093/brain/awaf389
Citations
1
Primary Topic
Muscle Physiology and Disorders
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Muscle transcriptomics of alpha-sarcoglycanopathy highlights inflammatory pathways driving disease

Edoardo Malfatti, Elena Pegoraro, Adele D’Amico, Stefano Carlo Previtali et al.
1 citations
Brain
Muscle Physiology and Disorders
0.81
article

Muscle transcriptomics of alpha-sarcoglycanopathy highlights inflammatory pathways driving disease

Edoardo Malfatti, Elena Pegoraro, Adele D’Amico, Stefano Carlo Previtali, Sara Pintus, Chiara Panicucci, Serena Baratto, Lizzia Raffaghello, Elisa Principi, Ulrich Pfeffer, Tiziana Mongini, Adriana Amaro, Paola Tonin, Francesco Reggiani, Mariangela Petito, Genny Del Zotto, Giorgio Tasca, Chiara Fiorillo, Diego Lopergolo, Valerio Gaetano Vellone, Elisabetta Gazzerro, Francesca Antonini, Claudio Bruno, Carmelo Rodolico
article en
1 citations

Abstract

Muscular dystrophies are a heterogeneous group of genetic disorders associated with an aberrant inflammatory response, that contributes to disease progression impairing regeneration and inducing fibrosis. Sarcoglycanopathies are recessively inherited limb-girdle muscular dystrophies (LGMDRs), in which the role of inflammation and its association with disease severity remains poorly understood, particularly in alpha-sarcoglycanopathy (LGMDR3). This study characterizes skeletal muscle and peripheral inflammatory signatures in sixteen LGMDR3 patients and eight unaffected individuals through bulk RNA sequencing with additional validation in Sgca-null mice. Patients were classified into mild and severe groups based on SGCA expression in muscle biopsy. Peripheral immunophenotype was assessed via flow cytometry analysis of peripheral blood mononuclear cells (PBMC). Principal Component Analysis showed a clear separation of severe LGMDR3 from mild LGMDR3 and unaffected individuals, with the latter two groups overlapping. Unsupervised hierarchical clustering analysis of the most variable genes identified distinct gene expression profiles between severe and mild LGMDR3 samples. Severe LGMD3 showed overexpression of innate immune system and T-cell activation pathways, with higher abundance of inflammatory infiltrate, mainly monocytes, cytotoxic T and dendritic cells. Notably, severe LGMD3 was characterised by enrichment of M1-polarized macrophages and pro-inflammatory chemokines, whereas M2-polarized monocytes predominated in mild cases. Similar inflammatory profiles were observed in Sgca-null mice. PBMC analysis revealed significantly increased CD8+, TH1 CD4+ lymphocytes and activated monocytes in LGMDR3 patients compared to controls. Severe LGMDR3 patients additionally showed overexpression of genes governing fibrosis and muscle tissue regeneration and exhibited clustering pattern similar to Duchenne Muscular Dystrophy patients. In conclusion, this study represents the first comprehensive characterization of LGMDR3 immunological profiles and demonstrated that inflammation plays a significant role in severe disease pathogenesis. The distinct immune signatures separating severe from mild cases provide a foundation for developing targeted anti-inflammatory therapies that may benefit for severe LGMDR3 patients with severe phenotype.

Brain
University of Siena (IT), University of Messina (IT), University of Verona (IT), University of Padua (IT), Vita-Salute San Raffaele University (IT), Inserm (FR), Université Paris-Est Créteil (FR), Max Delbrück Center (DE), Istituto Giannina Gaslini (IT), Newcastle upon Tyne Hospitals NHS Foundation Trust (GB), Neuroscience Institute (IT), Bambino Gesù Children's Hospital (IT), NIHR Newcastle Biomedical Research Centre (GB), Ospedale Policlinico San Martino (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), Institut Mondor de Recherche Biomédicale (FR), University of Turin (IT), University of Genoa (IT)
Openalex Percentile: Top 22%
Muscle Physiology and Disorders
0.81
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.