Effect of flavonoids in preclinical models of experimental obesity

• Type: Article in International Scientific Journal
• Date: 2021

Authors

Cercato, LM (Author) Other; Oliveira, JP (Author) Other; Souza, MTS (Author) Other; Andrade, N (Author) Other; Martel, F (Author) FMUP; Camargo, EA (Author) Other

Journal

Title: PharmaNutrition

Vol. 16

ISSN: 2213-4344

Publisher: Elsevier

Indexing

ISI Web of Knowledge - 0 Citations

Scopus - 0 Citations

Other information

Authenticus ID: P-00T-KWW

DOI: 10.1016/j.phanu.2021.100260

Abstract (EN): Background: Obesity is a disease characterized by excessive accumulation of body fat, weight gain, increased glycemia and lipid profile. These alterations produce deleterious health effects through time. Faced with the growing search for coadjuvant options for obesity and its associated comorbidities, bioactive compounds such as flavonoids are an interesting alternative, since the beneficial effects of flavonoids on lipid levels, energy metabolism, and weight status have already been reported in the literature. This study was carried out to review the effect of some flavonoids tested in preclinical models of obesity. Methods: We conducted a database search including MEDLINE (via PubMed), SCOPUS, EMBASE, LILACS and SCIELO and selected articles published until August 2020, using keywords related to flavonoids, obesity and animal experimentation and their MeSH variations. Results: Forty-seven studies were selected. We noted that oral supplementation in the diet of flavonoids for a few weeks was able to reduce body weight, blood glucose, glucose tolerance, resistance to insulin, and fat and lipid profiles. These beneficial effects were related to antioxidant and anti-inflammatory actions by modulating different pathways, such as PPAR gamma, JNK and AMPK. Conclusion: These findings strongly indicate the flavonoids quercetin, genistein, naringenin, apigenin, epigallocatechin gallate and cyanidin 3-glucoside have potential in complementary therapy against obesity.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11