Influence of Varied Dietary Cholesterol Levels on Lipid Metabolism in Hamsters.
Chung-Hsiung HuangHung-Sheng HsuMeng-Tsan ChiangPublished in: Nutrients (2024)
Syrian hamsters are valuable models for studying lipid metabolism due to their sensitivity to dietary cholesterol, yet the precise impact of varying cholesterol levels has not been comprehensively assessed. This study examined the impact of varying dietary cholesterol levels on lipid metabolism in Syrian hamsters. Diets ranging from 0% to 1% cholesterol were administered to assess lipid profiles and oxidative stress markers. Key findings indicate specific cholesterol thresholds for inducing distinct lipid profiles: below 0.13% for normal lipids, 0.97% for elevated LDL-C, 0.43% for increased VLDL-C, and above 0.85% for heightened hepatic lipid accumulation. A cholesterol supplementation of 0.43% induced hypercholesterolemia without adverse liver effects or abnormal lipoprotein expression. Furthermore, cholesterol supplementation significantly increased liver weight, plasma total cholesterol, LDL-C, and VLDL-C levels while reducing the HDL-C/LDL-C ratio. Fecal cholesterol excretion increased, with stable bile acid levels. High cholesterol diets correlated with elevated plasma ALT activities, reduced hepatic lipid peroxidation, and altered leptin and CETP levels. These findings underscore Syrian hamsters as robust models for hyperlipidemia research, offering insights into experimental methodologies. The identified cholesterol thresholds facilitate precise lipid profile manipulation, enhancing the hamster's utility in lipid metabolism studies and potentially informing clinical approaches to managing lipid disorders.
Keyphrases
- low density lipoprotein
- fatty acid
- oxidative stress
- cardiovascular disease
- type diabetes
- body mass index
- physical activity
- metabolic syndrome
- weight loss
- diabetic rats
- dna damage
- high fat diet
- insulin resistance
- adipose tissue
- endothelial cells
- stress induced
- adverse drug
- weight gain
- drug induced
- electronic health record