ena-STUDY-INSTITUTO DE AGROQUIMICA Y TECNOLOGIA DE ALIMENTOS-06-10-2017-07:12:23:016-240
Bacteroides uniformis CECT 7771 improves obesity-associated metabolic and immuno-inflammatory dysfunctions via gut-adipose tissue axis in high-fat high-fructose diet-fed mice
There is growing evidence that obesity-associated systemic inflammation is associated with intestinal dysbiosis via the cross-talk between gut and adipose tissue. Herein, we focused on the mechanisms by which Bacteroides uniformis CECT 7771 reduces systemic inflammation and improves metabolic alterations in high-fat high-fructose diet-fed mice.C57BL/6 adult (6–8 weeks) male mice were fed a standard diet (SD) or a high-fat high-fructose diet (HFHFD), supplemented or not with B. uniformis CECT 7771 for 14 weeks. The food, drink, and caloric intakes and animal body weights were monitored weekly. After the feeding period, biochemical and immunological parameters in serum were determined by ELISA and colorimetric assays. Myeloid and lymphoid cells from gut, peripheral blood, and visceral adipose tissue were analysed by flow cytometry. Microbiota features were analysed by 16S high-throughput rDNA gene sequencing and quantitative PCR after intervention.
There is growing evidence that obesity-associated systemic inflammation is associated with intestinal dysbiosis via the cross-talk between gut and adipose tissue. Herein, we focused on the mechanisms by which Bacteroides uniformis CECT 7771 reduces systemic inflammation and improves metabolic alterations in high-fat high-fructose diet-fed mice.C57BL/6 adult (6–8 weeks) male mice were fed a standard diet (SD) or a high-fat high-fructose diet (HFHFD), supplemented or not with B. uniformis CECT 7771 for 14 weeks. The food, drink, and caloric intakes and animal body weights were monitored weekly. After the feeding period, biochemical and immunological parameters in serum were determined by ELISA and colorimetric assays. Myeloid and lymphoid cells from gut, peripheral blood, and visceral adipose tissue were analysed by flow cytometry. Microbiota features were analysed by 16S high-throughput rDNA gene sequencing and quantitative PCR after intervention.