Davey Emily E., Légaré Cécilia, Planco Lori, Shaughnessy Sharon, Lennon Claudia D., Roussel Marie-Pier, Shorrock Hannah K., Hung Man, Cleary John Douglas, Duchesne Élise et Berglund J. Andrew. (2023). Individual transcriptomic response to strength training for patients with myotonic dystrophy type 1. JCI Insight, 8, (14), e163856.
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URL officielle: http://dx.doi.org/doi:10.1172/jci.insight.163856
Résumé
Myotonic dystrophy type 1 (DM1), the most common form of adult-onset muscular dystrophy, is caused by a CTG expansion resulting in significant transcriptomic dysregulation that leads to muscle weakness and wasting. While strength training is clinically beneficial in DM1, molecular effects had not been studied. To determine whether training rescued transcriptomic defects, RNA-Seq was performed on vastus lateralis samples from 9 male patients with DM1 before and after a 12-week strength-training program and 6 male controls who did not undergo training. Differential gene expression and alternative splicing analysis were correlated with the one-repetition maximum strength evaluation method (leg extension, leg press, hip abduction, and squat). While training program-induced improvements in splicing were similar among most individuals, rescued splicing events varied considerably between individuals. Gene expression improvements were highly varied between individuals, and the percentage of differentially expressed genes rescued after training were strongly correlated with strength improvements. Evaluating transcriptome changes individually revealed responses to the training not evident from grouped analysis, likely due to disease heterogeneity and individual exercise response differences. Our analyses indicate that transcriptomic changes are associated with clinical outcomes in patients with DM1 undergoing training and that these changes are often specific to the individual and should be analyzed accordingly.
Type de document: | Article publié dans une revue avec comité d'évaluation |
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ISSN: | 2379-3708 |
Volume: | 8 |
Numéro: | 14 |
Pages: | e163856 |
Version évaluée par les pairs: | Oui |
Date: | 2023 |
Identifiant unique: | 10.1172/jci.insight.163856 |
Sujets: | Sciences de la santé > Sciences de l'activité physique et réadaptation > Physiothérapie Sciences de la santé > Sciences médicales > Génétique Sciences de la santé > Sciences médicales > Neurosciences |
Département, module, service et unité de recherche: | Départements et modules > Département des sciences de la santé > Unité d'enseignement en physiothérapie |
Mots-clés: | bioinformatics, genetic diseases, muscle biology, neuromuscular disease, therapeutics. |
Déposé le: | 21 août 2023 14:35 |
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Dernière modification: | 21 août 2023 14:35 |
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