Bioactive Peptides from Meretrix lusoria Enzymatic Hydrolysate as a Potential Treatment for Obesity in db/db Mice.
Ramakrishna ChilakalaHyeon Jeong MoonMin Seouk JungJong Won HanKang Ho KoDong Sung LeeSun Hee CheongPublished in: Nutrients (2024)
Obesity is acknowledged as a significant risk factor for cardiovascular disease, often accompanied by increased inflammation and diabetes. Bioactive peptides derived from marine animal proteins show promise as safe and effective anti-obesity agents by regulating adipocyte differentiation through the AMPK signaling pathway. Therefore, this study aims to investigate the anti-obesity and anti-diabetic effects of bioactive compounds derived from a Meretrix lusoria Protamex enzymatic hydrolysate (MLP) fraction (≤1 kDa) through a 6-week treatment (150 mg/kg or 300 mg/kg, administered once daily) in leptin receptor-deficient db/db mice. The MLP treatment significantly decreased the body weight, serum total cholesterol, triglycerides, and LDL-cholesterol levels while also exhibiting a beneficial effect on hepatic and serum marker parameters in db/db mice. A histological analysis revealed a reduction in hepatic steatosis and epididymal fat following MLP treatment. Furthermore, poor glucose tolerance was improved, and hepatic antioxidant enzyme activities were elevated in MLP-treated mice compared to db/db control mice. Western blot analysis showed an increased expression of the AMPK protein after MLP treatment. In addition, the expression of lipogenic genes decreased in db/db mice. These findings indicate that bioactive peptides, which are known to regulate blood glucose levels, lipid metabolism, and adipogenesis, could be beneficial functional food additives and pharmaceuticals.
Keyphrases
- high fat diet induced
- insulin resistance
- cardiovascular disease
- type diabetes
- metabolic syndrome
- blood glucose
- weight loss
- signaling pathway
- adipose tissue
- oxidative stress
- glycemic control
- machine learning
- blood pressure
- gene expression
- small molecule
- randomized controlled trial
- weight gain
- south africa
- deep learning
- wild type
- big data
- single cell
- protein protein
- protein kinase