Loss of Stearoyl-CoA desaturase 1 leads to cardiac dysfunction and lipotoxicity.
Bryon F Tuthill IiChristopher J QuagliaEileen O'HaraLaura Palanker MusselmanPublished in: The Journal of experimental biology (2021)
Diets high in carbohydrates are associated with type 2 diabetes and its co-morbidities, including hyperglycemia, hyperlipidemia, obesity, hepatic steatosis and cardiovascular disease. We used a high-sugar diet to study the pathophysiology of diet-induced metabolic disease in Drosophila melanogaster. High-sugar diets produce hyperglycemia, obesity, insulin resistance and cardiomyopathy in flies, along with ectopic accumulation of toxic lipids, or lipotoxicity. Stearoyl-CoA desaturase 1 is an enzyme that contributes to long-chain fatty acid metabolism by introducing a double bond into the acyl chain. Knockdown of stearoyl-CoA desaturase 1 in the fat body reduced lipogenesis and exacerbated pathophysiology in flies reared on high-sucrose diets. These flies exhibited dyslipidemia and growth deficiency in addition to defects in cardiac and gut function. We assessed the lipidome of these flies using tandem mass spectrometry to provide insight into the relationship between potentially lipotoxic species and type 2 diabetes-like pathophysiology. Oleic acid supplementation is able to rescue a variety of phenotypes produced by stearoyl-CoA desaturase 1 RNAi, including fly mass, triglyceride storage, gut development and cardiac failure. Taken together, these data suggest a protective role for monounsaturated fatty acids in diet-induced metabolic disease phenotypes.
Keyphrases
- fatty acid
- drosophila melanogaster
- insulin resistance
- type diabetes
- weight loss
- cardiovascular disease
- high fat diet induced
- metabolic syndrome
- tandem mass spectrometry
- high fat diet
- left ventricular
- adipose tissue
- high performance liquid chromatography
- liquid chromatography
- coronary artery disease
- glycemic control
- heart failure
- skeletal muscle
- atrial fibrillation
- simultaneous determination
- weight gain
- mass spectrometry
- cardiovascular events
- data analysis
- deep learning