Structurally-engineered fatty acid 1024 (SEFA-1024) improves diet-induced obesity, insulin resistance, and fatty liver disease.

LIPIDS(2022)

引用 2|浏览7
暂无评分
摘要
Obesity is a global epidemic that drives morbidity and mortality through cardiovascular disease, diabetes, and non-alcoholic fatty liver disease (NAFLD). No definitive therapy has been approved to improve glycemic control and treat NAFLD in obese patients. Here, we investigated a semi-synthetic, long chain, structurally-engineered fatty acid-1024 (SEFA-1024), as a treatment for obesity-induced hyperglycemia, insulin-resistance, and fatty liver disease in rodent models. A single dose of SEFA-1024 was administered to evaluate glucose tolerance and active glucagon-like peptide 1 (GLP-1) in lean rats in the presence and absence of a DPP-4 inhibitor. The effects of SEFA-1024 on weight loss and glycemic control were assessed in genetic (ob/ob) and environmental (high-fat diet) murine models of obesity. Liver histology, serum liver enzymes, liver lipidomics, and hepatic gene expression were also assessed in the high-fat diet murine model. SEFA-1024 reversed obesity-associated insulin resistance and improved glycemic control. SEFA-1024 increased active GLP-1. In a long-term model of diet-induced obesity, SEFA-1024 reversed excessive weight gain, hepatic steatosis, elevated liver enzymes, hepatic lipotoxicity, and promoted fatty acid metabolism. SEFA-1024 is an enterohepatic-targeted, eicosapentaenoic acid derivative that reverses obesity-induced dysregulated glucose metabolism and hepatic lipotoxicity in genetic and dietary rodent models of obesity. The mechanism by which SEFA-1024 works may include increasing aGLP-1, promoting fatty acid oxidation, and inhibiting hepatic triglyceride formation. SEFA-1024 may serve as a potential treatment for obesity-related diabetes and NAFLD.
更多
查看译文
关键词
fatty acid metabolism, free fatty acid receptors (FFARs), high-fat diet (HFD), hyperglycemia, hyperinsulinemia, lipidomics, lipotoxicity, obesity, structurally-engineered fatty acid (SEFA)
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要