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 16 LGMDR3 patients and 8 unaffected individuals through bulk RNA sequencing with additional validation in Sgca-null mice. Patients were classified into mild and severe groups based on alpha sarcoglycan (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 cells and dendritic cells. Notably, severe LGMDR3 were characterized 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 with controls. Severe LGMDR3 patients additionally showed overexpression of genes governing fibrosis and muscle tissue regeneration and exhibited a 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 severe LGMDR3 patients with severe phenotype.

Muscle transcriptomics of alpha-sarcoglycanopathy highlights inflammatory pathways driving disease / Amaro, A., Reggiani, F., Panicucci, C., Petito, M., Baratto, S., Pintus, S., Principi, E., Antonini, F., Del Zotto, G., Vellone, V.G., D'Amico, A., Lopergolo, D., Tonin, P., Malfatti, E., Mongini, T., Pegoraro, E., Previtali, S.C., Rodolico, C., Tasca, G., Fiorillo, C., et al.. - In: BRAIN. - ISSN 0006-8950. - 149:4(2026), pp. 1302-1318. [10.1093/brain/awaf389]

Muscle transcriptomics of alpha-sarcoglycanopathy highlights inflammatory pathways driving disease

Previtali S. C.;
2026-01-01

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 16 LGMDR3 patients and 8 unaffected individuals through bulk RNA sequencing with additional validation in Sgca-null mice. Patients were classified into mild and severe groups based on alpha sarcoglycan (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 cells and dendritic cells. Notably, severe LGMDR3 were characterized 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 with controls. Severe LGMDR3 patients additionally showed overexpression of genes governing fibrosis and muscle tissue regeneration and exhibited a 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 severe LGMDR3 patients with severe phenotype.
2026
Inglese
Oxford University Press
149
4
1302
1318
17
Pubblicato
Esperti anonimi
Internazionale
Goal 3: Good health and well-being
alpha-sarcoglycanopathy
gene expression analysis
inflammation
Limb-girdle Muscular Dystrophy
RNA-seq
Muscle transcriptomics of alpha-sarcoglycanopathy highlights inflammatory pathways driving disease / Amaro, A., Reggiani, F., Panicucci, C., Petito, M., Baratto, S., Pintus, S., Principi, E., Antonini, F., Del Zotto, G., Vellone, V.G., D'Amico, A., Lopergolo, D., Tonin, P., Malfatti, E., Mongini, T., Pegoraro, E., Previtali, S.C., Rodolico, C., Tasca, G., Fiorillo, C., et al.. - In: BRAIN. - ISSN 0006-8950. - 149:4(2026), pp. 1302-1318. [10.1093/brain/awaf389]
none
24
info:eu-repo/semantics/article
262
Amaro, A.; Reggiani, F.; Panicucci, C.; Petito, M.; Baratto, S.; Pintus, S.; Principi, E.; Antonini, F.; Del Zotto, G.; Vellone, V. G.; D'Amico, A.; L...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11768/204056
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