Associations between Components of Metabolic Syndrome and Demographic, Nutritional, and Lifestyle Factors.

Objectives: To evaluate the associations between individuals with and without changes in components of metabolic syndrome (MetS) and demographic, nutritional, and lifestyle factors. Methods: A cross-sectional study was conducted with 224 individuals followed-up at a public hospital in Northeast Brazil. We used National Cholesterol Education Program-Adult Treatment Panel III (NCEP) criteria to diagnose MetS. We assessed components of MetS as dependent variables, while sex, age, food consumption, smoking, alcohol intake, physical activity, anthropometric parameters, and sleep hours were independent variables. Results: Comparing individuals with and without changes in components of MetS, the logistic regression models revealed that female sex was predictive of increased waist circumference and low HDL-c levels while advanced age was predictive of increased blood pressure and blood glucose levels. BMI emerged as a predictor for waist circumference and a protective factor for triglyceride levels. In addition, potassium intake, physical activity, and sleep duration were protective against decreased HDL-c, elevated triglyceride, and elevated blood pressure levels, respectively. Conclusion: This study demonstrated that sex, age, BMI, dietary potassium intake, physical activity, and hours of sleep are factors to be targeted in public health actions for prevention and treatment of MetS.

Copper ion-based chemical elicitation induces production of new benzofurans in Anthostomella brabeji, an endophytic fungus of Paepalanthus planifolius.

The present work reports the effects of chemical elicitors and epigenetic modifiers on the production and diversification of secondary metabolites produced by Anthostomella brabeji - an endophytic fungus isolated from Paepalanthus planifolius (Eriocaulaceae). The fungus was cultivated under four different small-scale culture conditions in potato dextrose broth (PDB): PDB (control), PDB + Mg+2, PDB + Cu+2 and PDB + 5-AZA (5-azacytidine). The incorporation of Cu+2 into PDB medium yielded the most promising results as the most significant differences in the metabolic profile of A. brabeji were observed under this condition. The chemical analysis of the PDB + Cu+2 extract resulted in the isolation of seven metabolites, including three new benzofuran derivatives (2, 4 and 6) and four known compounds (1, 3, 5 and 7). The metabolites were tested using the Gram-positive bacterium Staphylococcus aureus, Gram-negative bacteria Salmonella sp. and Escherichia coli, and six yeasts of Candida albicans and non-albicans. The EtOAc extract (PDB + Cu+2), and compounds 1, 2 and 7 exhibited relevant antifungal activity against Candida spp., with minimum inhibitory concentration ranging from 62.5 to 500.0 µg/mL.