Background/Objectives: Obesity is a complex disease involving the accumulation of an excessive amount of body fat. It is a condition that develops when energy intake and expenditure are out of balance. Inflammation and hypertrophy are caused by the storage of too much white adipose tissue, resulting in adiposity, which also secretes several pro-inflammatory cytokines. Several marketed drugs used to treat obesity have many side effects from long-term ingestion. Other therapeutic compounds from marine sources have already been established for treating obesity. In this paper, the main aim is to establish the anti-obesity effect of derived omega-3 fatty acids, i.e., 20:3(n-3)11-14-17 Icosa Trienoic Acid from Setipinna phasa oil. Methods: In the present investigation, inbred male Swiss albino mice were segregated into six categories as Control, Positive Control, Obese Control, and 20:3(n-3)11-14-17 Icosa Trienoic Acid treated groups with three different doses: Treatment 1, Treatment 2 and Treatment 3. To establish the potentiality of extracted fatty acid, different parameters would be considered, such as body weight, lipid composition and different obesity and obesity-associated inflammation markers. Results: After the isolated compound from Setipinna phasa oil was applied to the treated mice group, it decreased their body weight and serum lipid profile by 39.05%, 62.69%, 62.72%, and 78.46% compared to obese mice. They also had lower levels of uric acid, Serum Glutamic-Oxaloacetic Transaminase, Serum Glutamic Pyruvic Transaminase, and Alkaline Phosphatase, at 67.52%, 57.09%, 64.80%, and 43.99%, than the obese group. Accordingly, the treated group’s expression of genes linked to obesity and pro-inflammatory cytokines was downregulated. The isolated compound affected both anti-inflammatory and anti-obesity markers’ increased expression. Conclusions: After the experiments, it was found that the possibility of using fatty acids might be helpful as an anti-inflammatory and anti-obesity therapeutic strategy. This therapeutic strategy will be cheap and cost-effective.
Panchali et al. (Mon,) studied this question.