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Diabetic cardiomyopathy: the need for adjusting experimental models to meet clinical reality.
Lezoualc'h, Frank; Badimon, Lina; Baker, Hana; Bernard, Monique; Czibik, Gabor; de Boer, Rudolf A; D'Humières, Thomas; Kergoat, Micheline; Kowala, Mark; Rieusset, Jennifer; Vilahur, Gemma; Détrait, Maximin; Watson, Chris; Derumeaux, Geneviève A.
Afiliación
  • Lezoualc'h F; Institut des Maladies Métaboliques et Cardiovasculaires, INSERM, Université Paul Sabatier, UMR 1297-I2MC, 1 avenue Jean Poulhès - BP 84225 - 31432 Toulouse Cedex 4, France.
  • Badimon L; Cardiovascular Program-ICCC, IR-Hospital de la Santa Creu I Sant Pau, IISantPau, CiberCV, C/ de Sant Antoni Maria Claret, 167, 08025 Barcelona, Spain.
  • Baker H; Diabetes and Complications Research, Lilly Research Laboratories, Eli Lilly and Company, 307 E Merrill St, Indianapolis, IN 46225, USA.
  • Bernard M; Aix-Marseille University, CNRS, CRMBM, Faculté de Médecine, 27 Bd Jean Moulin, 13385 Marseille, France.
  • Czibik G; Department of Physiology, INSERM U955, Université Paris Est Créteil (UPEC), AP-HP, Henri Mondor Hospital, FHU SENEC, Faculté de Santé de Créteil, 8 rue du Général Sarrail, 94010 Créteil cedex, France.
  • de Boer RA; Department of Cardiology, University Medical Center Groningen, Hanzeplein 1, 9713 GZ Groningen, the Netherlands.
  • D'Humières T; Department of Physiology, INSERM U955, Université Paris Est Créteil (UPEC), AP-HP, Henri Mondor Hospital, FHU SENEC, Faculté de Santé de Créteil, 8 rue du Général Sarrail, 94010 Créteil cedex, France.
  • Kergoat M; Metabrain Research, 19 Av. du Professeur Cadiot, 94700 Maisons-Alfort, France.
  • Kowala M; Indiana Biosciences Research Institute, 1210 Waterway Blvd Ste. 2000, Indianapolis, IN 46202, USA.
  • Rieusset J; Laboratoire CarMeN, UMR INSERM U1060/INRA U1397, Université Claude Bernard Lyon1, Bâtiment CENS ELI-2D, 165 Chemin du Grand Revoyet, 69310 PIERRE BENITE, France.
  • Vilahur G; Cardiovascular Program-ICCC, IR-Hospital de la Santa Creu I Sant Pau, IISantPau, CiberCV, C/ de Sant Antoni Maria Claret, 167, 08025 Barcelona, Spain.
  • Détrait M; Institut des Maladies Métaboliques et Cardiovasculaires, INSERM, Université Paul Sabatier, UMR 1297-I2MC, 1 avenue Jean Poulhès - BP 84225 - 31432 Toulouse Cedex 4, France.
  • Watson C; Wellcome-Wolfson Institute for Experimental Medicine, Queen's University Belfast, 97 Lisburn Rd, Belfast BT9 7BL, UK.
  • Derumeaux GA; Department of Physiology, INSERM U955, Université Paris Est Créteil (UPEC), AP-HP, Henri Mondor Hospital, FHU SENEC, Faculté de Santé de Créteil, 8 rue du Général Sarrail, 94010 Créteil cedex, France.
Cardiovasc Res ; 119(5): 1130-1145, 2023 05 22.
Article en En | MEDLINE | ID: mdl-36082907
ABSTRACT
Diabetic cardiomyopathy (CM), occurring in the absence of hypertension, coronary artery disease, and valvular or congenital heart disease, is now recognized as a distinct, multifactorial disease leading to ventricular hypertrophy and abnormal myocardial contractility that correlates with an array of complex molecular and cellular changes. Animal models provide the unique opportunity to investigate mechanistic aspects of diabetic CM, but important caveats exist when extrapolating findings obtained from preclinical models of diabetes to humans. Indeed, animal models do not recapitulate the complexity of environmental factors, most notably the duration of the exposure to insulin resistance that may play a crucial role in the development of diabetic CM. Moreover, most preclinical studies are performed in animals with uncontrolled or poorly controlled diabetes, whereas patients tend to undergo therapeutic intervention. Finally, whilst type 2 diabetes mellitus prevalence trajectory mainly increases at 40- < 75 years (with a currently alarming increase at younger ages, however), it is a legitimate concern how closely rodent models employing young animals recapitulate the disease developing in old people. The aim of this review is to identify the current limitations of rodent models and to discuss how future mechanistic and preclinical studies should integrate key confounding factors to better mimic the diabetic CM phenotype.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Resistencia a la Insulina / Diabetes Mellitus Tipo 2 / Cardiomiopatías Diabéticas Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Cardiovasc Res Año: 2023 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria / Resistencia a la Insulina / Diabetes Mellitus Tipo 2 / Cardiomiopatías Diabéticas Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Cardiovasc Res Año: 2023 Tipo del documento: Article País de afiliación: Francia