Salacia reticulata Extract Suppresses Fat Accumulation by Regulating Lipid Metabolism.
Jaeeun JungJeongjin ParkMinhee LeeJinhak KimDongchan OhWoojin JunOk-Kyung KimJeongmin LeePublished in: Foods (Basel, Switzerland) (2023)
The excessive storage of triglycerides in adipose tissue is a characteristic feature of obesity, which arises from an imbalance between energy intake and expenditure. In this study, we aimed to explore the potential anti-obesity effects of Salacia reticulata extracts (SC) in a high-fat diet (HFD)-induced in obese mice and 3T3-L1 adipocytes, with a specific focus on understanding the underlying lipid mechanisms. Mice were fed with a normal diet (NC; normal control), HFD (60% high-fat diet), Met (HFD containing metformin 250 mg/kg b.w.), SC25 (HFD containing SC 25 mg/kg b.w.), SC50 (HFD containing SC 50 mg/kg b.w.), or SC 100 (HFD containing SC 100 mg/kg b.w.) for 12 weeks. Notably, SC supplementation led to significant reductions in body weight gain, adipose tissue weight, adipose tissue mass, and adipocyte size in HFD-fed mice. Furthermore, SC supplementation exerted inhibitory effects on the adipogenesis and lipogenesis pathways while promoting lipolysis and thermogenesis pathways in the adipose tissues of HFD-fed mice. In vitro experiments using 3T3-L1 cells demonstrated that SC treatment during the differentiation phase suppressed adipogenesis and lipogenesis, whereas SC treatment after differentiation, activated lipolysis and thermogenesis. Collectively, these findings indicate that SC exhibits a direct influence on the lipid metabolism of adipocytes, making it an effective candidate for weight loss interventions.
Keyphrases
- high fat diet
- adipose tissue
- insulin resistance
- high fat diet induced
- weight gain
- weight loss
- body mass index
- metabolic syndrome
- type diabetes
- bariatric surgery
- gene expression
- machine learning
- physical activity
- signaling pathway
- gastric bypass
- induced apoptosis
- fatty acid
- roux en y gastric bypass
- oxidative stress
- cell proliferation
- endothelial cells
- combination therapy
- deep learning
- replacement therapy