Ivana Dabaj1,2, Justine Ferey3, Florent Marguet2,4, Vianney Gilard3,5, Carole Basset4, Youssef Bahri6, Anne-Claire Brehin7, Catherine Vanhulle1, France Leturcq8, Stéphane Marret1,2, Annie Laquerrière2,4, Isabelle Schmitz-Afonso6, Carlos Afonso6, Soumeya Bekri9,10, Abdellah Tebani3. 1. Department of Neonatal Pediatrics, Intensive Care and Neuropediatrics, Rouen University Hospital, 76031, Rouen, France. 2. Normandie Univ, UNIROUEN, CHU Rouen, INSERM U1245, 76000, Rouen, France. 3. Department of Metabolic Biochemistry, Rouen University Hospital, 76031, Rouen, Cedex, France. 4. Department of Pathology, Rouen University Hospital, Rouen, France. 5. Department of Neurosurgery, Rouen University Hospital, Rouen, France. 6. Normandie Univ, COBRA UMR 6014 Et FR 3038 Univ Rouen; INSA Rouen; CNRS IRCOF, 1 Rue TesnieÌre, 76821, Mont-Saint-Aignan Cedex, France. 7. Department of Genetics and Reference Center for Developmental Disorders, Normandy Center for Genomic and Personalized Medicine, Normandie Univ, UNIROUEN, Inserm U1245 and Rouen University Hospital, 76000, Rouen, France. 8. APHP, Laboratoire de Génétique Et Biologie Moléculaire, HUPC Cochin, Paris, France. 9. Normandie Univ, UNIROUEN, CHU Rouen, INSERM U1245, 76000, Rouen, France. soumeya.bekri@chu-rouen.fr. 10. Department of Metabolic Biochemistry, Rouen University Hospital, 76031, Rouen, Cedex, France. soumeya.bekri@chu-rouen.fr.
Abstract
Duchenne muscular dystrophy (DMD) is a common and severe X-linked myopathy, characterized by muscle degeneration due to altered or absent dystrophin. DMD has no effective cure, and the underlying molecular mechanisms remain incompletely understood. The aim of this study is to investigate the metabolic changes in DMD using mass spectrometry-based imaging. Nine human muscle biopsies from DMD patients and nine muscle biopsies from control individuals were subjected to untargeted MSI using matrix-assisted laser desorption/ionization Fourier-transform ion cyclotron resonance mass spectrometry. Both univariate and pattern recognition techniques have been used for data analysis. This study revealed significant changes in 34 keys metabolites. Seven metabolites were decreased in the Duchenne biopsies compared to control biopsies including adenosine triphosphate, and glycerophosphocholine. The other 27 metabolites were increased in the Duchenne biopsies, including sphingomyelin, phosphatidylcholines, phosphatidic acids and phosphatidylserines. Most of these dysregulated metabolites are tightly related to energy and phospholipid metabolism. This study revealed a deep metabolic remodelling in phospholipids and energy metabolism in DMD. This systems-based approach enabled exploring the metabolism in DMD in an unprecedented holistic and unbiased manner with hypothesis-free strategies.
Duchenne muscular dystrophy (pan class="Gene">DMD) is a common and severe X-linked myopathy, characterized by muscle degeneration due to altered or absent dystrophin. DMD has no effective cure, and the underlying molecular mechanisms remain incompletely understood. The aim of this study is to investigate the metabolic changes in DMD using mass spectrometry-based imaging. Nine human muscle biopsies from DMDpatients and nine muscle biopsies from control individuals were subjected to untargeted MSI using matrix-assisted laser desorption/ionization Fourier-transform ion cyclotron resonance mass spectrometry. Both univariate and pattern recognition techniques have been used for data analysis. This study revealed significant changes in 34 keys metabolites. Seven metabolites were decreased in the Duchenne biopsies compared to control biopsies including adenosine triphosphate, and glycerophosphocholine. The other 27 metabolites were increased in the Duchenne biopsies, including sphingomyelin, phosphatidylcholines, phosphatidic acids and phosphatidylserines. Most of these dysregulated metabolites are tightly related to energy and phospholipid metabolism. This study revealed a deep metabolic remodelling in phospholipids and energy metabolism in DMD. This systems-based approach enabled exploring the metabolism in DMD in an unprecedented holistic and unbiased manner with hypothesis-free strategies.
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