Publication Details

AFRICAN RESEARCH NEXUS

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pharmacology, toxicology and pharmaceutics

Myrianthus arboreus P. Beauv improves insulin sensitivity in high fat diet-induced obese mice by reducing inflammatory pathways activation

Journal of Ethnopharmacology, Volume 282, Article 114651, Year 2022

Ethnopharmacological relevance: Metabolic syndrome is currently recognized as the major cause of morbidity, with dramatic complications on life expectancy and health status. Myrianthus arboreus is a medicinal plant traditionally used in local communities as a safe remedy in treating diabetes and other metabolic diseases. Aim of the study: This study aimed to investigate the impact of a methanol extract of Myrianthus arboreus leaf (MAL) in a mice model of metabolic syndrome induced by a high-fat diet (HFD) intake. Materials and methods: Male C57BL/6J mice were assigned to the following groups: control, obese control, and obese treated with MAL extract (10, 25, and 50 mg/kg) for 6 weeks. Control mice received a standard chow diet, while all obese mice were fed with HFD. Animal weight and food consumption were periodically measured. At the end of the treatment, fasting blood glucose and metabolic plasma analysis (insulin level, triglycerides, and total cholesterol (TC)) were performed. The HFD-induced inflammatory status and the expression of several obesity-related markers were evaluated in liver and fat using qPCR and Western blot analysis. In addition, the phytochemical composition of MAL was identified by GC-MS and HPLC-MS. Results: MAL administration significantly reduced body weight gain, basal glycemia, and insulin resistance, and improved plasma lipid profile compared with HFD-fed mice. Similarly, this extract improved the HFD-associated inflammatory status in mice by gene expression modulation of different inflammatory markers involved in this experimentally induced metabolic condition. Conclusion: These results demonstrate the novel applicability of MAL, thus suggesting it as a promising therapeutic approach for the management of metabolic disorders.
Statistics
Citations: 8
Authors: 8
Affiliations: 5
Identifiers
Research Areas
Food Security
Genetics And Genomics
Noncommunicable Diseases
Participants Gender
Male