Tipus de document

Article

Versió

Versió publicada

Data de publicació

Llicència de publicació

cc-by-nc-nd (c) Soler-Vázquez, M. Carmen et al., 2023
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/201162

Implantation of CPT1AM-expressing adipocytes reduces obesity and glucose intolerance in mice

Títol de la revista

Director/Tutor

ISSN de la revista

Títol del volum

Resum

Obesity and its associated metabolic comorbidities are a rising global health and social issue, with novel therapeutic approaches urgently needed. Adipose tissue plays a key role in the regulation of energy balance and adipose tissue-derived mesenchymal stem cells (AT-MSCs) have gained great interest in cell therapy. Carnitine palmitoyltransferase 1A (CPT1A) is the gatekeeper enzyme for mitochondrial fatty acid oxidation. Here, we aimed to generate adipocytes expressing a constitutively active CPT1A form (CPT1AM) that can improve the obese phenotype in mice after their implantation. AT-MSCs were differentiated into mature adipocytes, subjected to lentivirus-mediated expression of CPT1AM or the GFP control, and subcutaneously implanted into mice fed a high-fat diet (HFD). CPT1AM-implanted mice showed lower body weight, hepatic steatosis and serum insulin and cholesterol levels alongside improved glucose tolerance. HFD-induced increases in adipose tissue hypertrophy, fibrosis, inflammation, endoplasmic reticulum stress and apoptosis were reduced in CPT1AM-implanted mice. In addition, the expression of mitochondrial respiratory chain complexes was enhanced in the adipose tissue of CPT1AM-implanted mice. Our results demonstrate that implantation of CPT1AM-expressing AT-MSC-derived adipocytes into HFD-fed mice improves the obese metabolic phenotype, supporting the future clinical use of this ex vivo gene therapy approach.

Citació

Citació

SOLER VÁZQUEZ, M. Carmen, et al. Implantation of CPT1AM-expressing adipocytes reduces obesity and glucose intolerance in mice. Metabolic Engineering. 2023. Vol. 77, núm. 256-272. ISSN 1096-7176. [consulta: 9 de maig de 2026]. Disponible a: https://hdl.handle.net/2445/201162

Exportar metadades

JSON - METS

Compartir registre