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Conte TC, Duran-Bishop G, Orfi Z, Mokhtari I, Deprez A, Côté I, Molina T, Kim TY, Tellier L, Roussel MP, Maggiorani D, Benabdallah B, Leclerc S, Feulner L, Pellerito O, Mathieu J, Andelfinger G, Gagnon C, Beauséjour C, McGraw S, Duchesne E, Dumont NA. Clearance of defective muscle stem cells by senolytics restores myogenesis in myotonic dystrophy type 1. Nat Commun 2023; 14:4033. [PMID: 37468473 PMCID: PMC10356779 DOI: 10.1038/s41467-023-39663-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 06/22/2023] [Indexed: 07/21/2023] Open
Abstract
Muscle stem cells, the engine of muscle repair, are affected in myotonic dystrophy type 1 (DM1); however, the underlying molecular mechanism and the impact on the disease severity are still elusive. Here, we show using patients' samples that muscle stem cells/myoblasts exhibit signs of cellular senescence in vitro and in situ. Single cell RNAseq uncovers a subset of senescent myoblasts expressing high levels of genes related to the senescence-associated secretory phenotype (SASP). We show that the levels of interleukin-6, a prominent SASP cytokine, in the serum of DM1 patients correlate with muscle weakness and functional capacity limitations. Drug screening revealed that the senolytic BCL-XL inhibitor (A1155463) can specifically remove senescent DM1 myoblasts by inducing their apoptosis. Clearance of senescent cells reduced the expression of SASP, which rescued the proliferation and differentiation capacity of DM1 myoblasts in vitro and enhanced their engraftment following transplantation in vivo. Altogether, this study identifies the pathogenic mechanism associated with muscle stem cell defects in DM1 and opens a therapeutic avenue that targets these defective cells to restore myogenesis.
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Affiliation(s)
- Talita C Conte
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
- Department of pharmacology and physiology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Gilberto Duran-Bishop
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
- Department of obstetrics and gynecology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Zakaria Orfi
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
- Department of pharmacology and physiology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Inès Mokhtari
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
- Department of Health Sciences, Université du Québec à Chicoutimi, Saguenay, QC, Canada
- Neuromuscular diseases interdisciplinary research group (GRIMN), Saguenay-Lac-St-Jean Integrated University Health and Social Services Center, Saguenay, QC, Canada
| | - Alyson Deprez
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
- Department of pharmacology and physiology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Isabelle Côté
- Neuromuscular diseases interdisciplinary research group (GRIMN), Saguenay-Lac-St-Jean Integrated University Health and Social Services Center, Saguenay, QC, Canada
| | - Thomas Molina
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
- Department of pharmacology and physiology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Tae-Yeon Kim
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
- Department of microbiology, infectiology and immunology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Lydia Tellier
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
- School of rehabilitation, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Marie-Pier Roussel
- Neuromuscular diseases interdisciplinary research group (GRIMN), Saguenay-Lac-St-Jean Integrated University Health and Social Services Center, Saguenay, QC, Canada
- Department of Fundamental Sciences, Université du Québec à Chicoutimi, Saguenay, QC, Canada
| | - Damien Maggiorani
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
- Department of pharmacology and physiology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | | | | | - Lara Feulner
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
| | | | - Jean Mathieu
- Neuromuscular diseases interdisciplinary research group (GRIMN), Saguenay-Lac-St-Jean Integrated University Health and Social Services Center, Saguenay, QC, Canada
- CHU Sherbrooke Research Center, and Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Gregor Andelfinger
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
- Department of Pediatrics, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Cynthia Gagnon
- Neuromuscular diseases interdisciplinary research group (GRIMN), Saguenay-Lac-St-Jean Integrated University Health and Social Services Center, Saguenay, QC, Canada
- CHU Sherbrooke Research Center, and Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Christian Beauséjour
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
- Department of pharmacology and physiology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Serge McGraw
- CHU Sainte-Justine Research Center, Montreal, QC, Canada
- Department of obstetrics and gynecology, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada
| | - Elise Duchesne
- Department of Health Sciences, Université du Québec à Chicoutimi, Saguenay, QC, Canada.
- Neuromuscular diseases interdisciplinary research group (GRIMN), Saguenay-Lac-St-Jean Integrated University Health and Social Services Center, Saguenay, QC, Canada.
| | - Nicolas A Dumont
- CHU Sainte-Justine Research Center, Montreal, QC, Canada.
- School of rehabilitation, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada.
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Kuntawala DH, Martins F, Vitorino R, Rebelo S. Automatic Text-Mining Approach to Identify Molecular Target Candidates Associated with Metabolic Processes for Myotonic Dystrophy Type 1. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2283. [PMID: 36767649 PMCID: PMC9915907 DOI: 10.3390/ijerph20032283] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/20/2023] [Accepted: 01/25/2023] [Indexed: 06/18/2023]
Abstract
Myotonic dystrophy type 1 (DM1) is an autosomal dominant hereditary disease caused by abnormal expansion of unstable CTG repeats in the 3' untranslated region of the myotonic dystrophy protein kinase (DMPK) gene. This disease mainly affects skeletal muscle, resulting in myotonia, progressive distal muscle weakness, and atrophy, but also affects other tissues and systems, such as the heart and central nervous system. Despite some studies reporting therapeutic strategies for DM1, many issues remain unsolved, such as the contribution of metabolic and mitochondrial dysfunctions to DM1 pathogenesis. Therefore, it is crucial to identify molecular target candidates associated with metabolic processes for DM1. In this study, resorting to a bibliometric analysis, articles combining DM1, and metabolic/metabolism terms were identified and further analyzed using an unbiased strategy of automatic text mining with VOSviewer software. A list of candidate molecular targets for DM1 associated with metabolic/metabolism was generated and compared with genes previously associated with DM1 in the DisGeNET database. Furthermore, g:Profiler was used to perform a functional enrichment analysis using the Gene Ontology (GO) and REAC databases. Enriched signaling pathways were identified using integrated bioinformatics enrichment analyses. The results revealed that only 15 of the genes identified in the bibliometric analysis were previously associated with DM1 in the DisGeNET database. Of note, we identified 71 genes not previously associated with DM1, which are of particular interest and should be further explored. The functional enrichment analysis of these genes revealed that regulation of cellular metabolic and metabolic processes were the most associated biological processes. Additionally, a number of signaling pathways were found to be enriched, e.g., signaling by receptor tyrosine kinases, signaling by NRTK1 (TRKA), TRKA activation by NGF, PI3K-AKT activation, prolonged ERK activation events, and axon guidance. Overall, several valuable target candidates related to metabolic processes for DM1 were identified, such as NGF, NTRK1, RhoA, ROCK1, ROCK2, DAG, ACTA, ID1, ID2 MYOD, and MYOG. Therefore, our study strengthens the hypothesis that metabolic dysfunctions contribute to DM1 pathogenesis, and the exploitation of metabolic dysfunction targets is crucial for the development of future therapeutic interventions for DM1.
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