Fiche publication
Date publication
septembre 2015
Auteurs
Membres identifiés du Cancéropôle Est :
Dr LAGROST Laurent
,
Pr FAIVRE Laurence
,
Pr PETIT Jean-Michel
,
Dr JEGO Gaëtan
,
Pr THAUVIN-ROBINET Christel
,
Dr DUPLOMB-JEGO Laurence
Tous les auteurs :
Limoge F, Faivre L, Gautier T, Petit JM, Gautier E, Masson D, Jego G, El Chehadeh-Djebbar S, Marle N, Carmignac V, Deckert V, Brindisi MC, Edery P, Ghoumid J, Blair E, Lagrost L, Thauvin-Robinet C, Duplomb L
Lien Pubmed
Résumé
Cohen Syndrome (CS) is a rare autosomal recessive disorder, with defective glycosylation secondary to mutations in the VPS13B gene, which encodes a protein of the Golgi apparatus. Besides congenital neutropenia, retinopathy and intellectual deficiency, CS patients are faced with truncal obesity. Metabolism investigations showed abnormal glucose tolerance tests and low HDL values in some patients, and these could be risk factors for the development of diabetes mellitus and/or cardiovascular complications. To understand the mechanisms involved in CS fat storage, we used two models of adipogenesis differentiation: (i) SGBS preadipocytes with VPS13B invalidation thanks to siRNA delivery and (ii) CS primary fibroblasts. In both models, VPS13B invalidation led to accelerated differentiation into fat cells, which was confirmed by the earlier and increased expression of specific adipogenic genes, consequent to the increased response of cells to insulin stimulation. At the end of the differentiation protocol, these fat cells exhibited decreased AKT2 phosphorylation after insulin stimulation, which suggests insulin resistance. This study, in association with the in-depth analysis of the metabolic status of the patients, thus allowed us to recommend appropriate nutritional education to prevent the occurrence of diabetes mellitus and to put forward recommendations for the follow-up of CS patients, in particular with regard to the development of metabolic syndrome. We also suggest replacing the term obesity by abnormal fat distribution in CS, which should reduce the number of inappropriate diagnoses in patients who are referred only on the basis of intellectual deficiency associated with obesity.
Référence
Hum Mol Genet. 2015 Sep 10. pii: ddv366.
