The need for adjusting experimental models to meet clinical reality.
F Lezoualc'hLina BadimónH BakerM BernardG CzibikRudolf A de BoerT D'HumièresM KergoatM KowalaJ RieussetG VilahurM DétraitChris J WatsonGenevieve DerumeauxPublished in: Cardiovascular research (2022)
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 T2DM 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.
Keyphrases
- type diabetes
- congenital heart disease
- insulin resistance
- glycemic control
- wound healing
- coronary artery disease
- cardiovascular disease
- heart failure
- end stage renal disease
- blood pressure
- ejection fraction
- left ventricular
- cell therapy
- newly diagnosed
- randomized controlled trial
- adipose tissue
- atrial fibrillation
- prognostic factors
- risk factors
- high resolution
- high fat diet
- peritoneal dialysis
- metabolic syndrome
- chronic kidney disease
- case control
- high throughput
- cardiovascular events
- skeletal muscle
- polycystic ovary syndrome
- weight loss
- patient reported