Fenofibrate regulates obesity and lipid metabolism with sexual dimorphism

To determine whether the PPARalpha agonist fenofibrate regulates obesity and lipid metabolism with sexual dimorphism, we examined the effects of fenofibrate on body weight, white adipose tissue (WAT) mass, circulating lipids, and the expression of PPARalpha target genes in both sexes of high fat diet-fed C57BL/6J mice. Both sexes of mice fed a high-fat diet for 14 weeks exhibited increases in body weight, visceral WAT mass, as well as serum triglycerides and cholesterol, although these effects were more pronounced among males. Feeding a high fat diet supplemented with fenofibrate (0.05% w/w) reduced all of these effects significantly in males except serum cholesterol level. Females on a fenofibrate-enriched high fat diet had reduced serum triglyceride levels, albeit to a smaller extent compared to males, but did not exhibit decreases in body weight, WAT mass, and serum cholesterol. Fenofibrate treatment resulted in hepatic induction of PPAR alpha target genes encoding enzymes for fatty acid beta-oxidation, the magnitudes of which were much higher in males compared to females, as evidenced by results for acyl-CoA oxidase, a first enzyme of the beta-oxidation system. These results suggest that observed sexually dimorphic effects on body weight, WAT mass and serum lipids by fenofibrate may involve sexually related elements in the differential activation of PPARalpha.

Analysis of Food Consumption Patterns by Income Levels Using Annual Report on the Family Income and Expenditure Survey / 대한지역사회영양학회지

Korea has not tried any food consumption survey so far except the national nutrition survey, which does not show food consumption patterns of different income stratas. The results of the family income and expenditure survey(FIES) by the national statistical office can be precious sources which show household food consumption patterns due to large, random. Samples, year-round survey period and socioeconomic background data. This study analyzed the FIES data to find out food consumption patterns including nutrient intakes and frequently consumed foods by households among different monthly income levels. Big difference was found in food consumption patterns among the quartile-income groups especially the amount of consumed foods, food expenditure, and nutrient intakes. For every food item, the higher the monthly invomr, yhr motr og goof yhry vondumrf. The monthly food expenditure of higher higher income strata was composed with higher percentage of relatively expensive foods compared to other stratas. Nutrient intake levels of lower income strata were 50-60% of the RDA, which showed the necessicity of food assistance programs for those high risk groups to complement the nutritional difficiency.