3 resultados para Hunger strike
Resumo:
BACKGROUND Several evidences indicate that gut microbiota is involved in the control of host energy metabolism. OBJECTIVE To evaluate the differences in the composition of gut microbiota in rat models under different nutritional status and physical activity and to identify their associations with serum leptin and ghrelin levels. METHODS IN A CASE CONTROL STUDY, FORTY MALE RATS WERE RANDOMLY ASSIGNED TO ONE OF THESE FOUR EXPERIMENTAL GROUPS: ABA group with food restriction and free access to exercise; control ABA group with food restriction and no access to exercise; exercise group with free access to exercise and feed ad libitum and ad libitum group without access to exercise and feed ad libitum. The fecal bacteria composition was investigated by PCR-denaturing gradient gel electrophoresis and real-time qPCR. RESULTS In restricted eaters, we have found a significant increase in the number of Proteobacteria, Bacteroides, Clostridium, Enterococcus, Prevotella and M. smithii and a significant decrease in the quantities of Actinobacteria, Firmicutes, Bacteroidetes, B. coccoides-E. rectale group, Lactobacillus and Bifidobacterium with respect to unrestricted eaters. Moreover, a significant increase in the number of Lactobacillus, Bifidobacterium and B. coccoides-E. rectale group was observed in exercise group with respect to the rest of groups. We also found a significant positive correlation between the quantity of Bifidobacterium and Lactobacillus and serum leptin levels, and a significant and negative correlation among the number of Clostridium, Bacteroides and Prevotella and serum leptin levels in all experimental groups. Furthermore, serum ghrelin levels were negatively correlated with the quantity of Bifidobacterium, Lactobacillus and B. coccoides-Eubacterium rectale group and positively correlated with the number of Bacteroides and Prevotella. CONCLUSIONS Nutritional status and physical activity alter gut microbiota composition affecting the diversity and similarity. This study highlights the associations between gut microbiota and appetite-regulating hormones that may be important in terms of satiety and host metabolism.
Resumo:
To evaluate the effectiveness of Cognitive Behavioral Therapy (CBT) in the success of postoperative weight loss after 2 years of CB. METHODS: A prospective observational study was conducted in consecutive patients with morbid obesity aged between 18 and 59 yrs and enrolled in the bariatric surgery program of the Obesity Surgery Unit of our hospital from June 2007 through June 2010, with two years postoperative follow-up. Participants were divided into two groups according to their participation in Cognitive Behavioral Therapy or not. Over a 3-month period, CBT was applied in 12 2-h sessions. The main dependent variables studied were body weight and height, from which we calculated BMI and percentage of excess weight lost (weight lost x 100)/(initial weight-ideal weight), classifying patients as successful (E ) those with EPP > 50%, and unsuccessful (NE) those with EPP <50%. Participants were also, assessed for general (stress, anxiety, depression and self-esteem) and specific (binge eating and food craving) psychopathology. RESULTS: Of the 35 patients with bariatric surgery, 30 responded postoperative evaluations, 16 underwent CBT before CB and 14 underwent surgery without receiving psycho-nutritional therapy, (76% female) with a mean age of 41 ± 9.5 years. The mean baseline BMI was 42 ± 10 and 45% of patients were classified as super obese (BMI: 56 ± 6). Mean excess weight loss (EPP) was 77%. According to the EPP were classified as "successful" (S) (59%) and "unsuccessful" (U) (41%). Of the patients assigned to S, 94% received CBT (15 individuals of 17 total), compared with only 12% who did not receive (2 individuals of the 17 total) with statistically significant differences (p < 0.05). Also, the S patients appeared to be significantly less anxious and stressed and have higher self-esteem (P < 0.05). Regarding specific psychopathology, the food craving guided by hunger, loss of control over food intake and guilt was lower in patients who achieved > 50% of EPP (p < 0.04, p < 0.001, p < 0.001, respectively). It was also noted that these patients were plans to eat less and ate less for positive reinforcement (p < 0.03 and p < 0.000, respectively) than the patient group NE
Resumo:
β-adrenergic receptor activation promotes brown adipose tissue (BAT) β-oxidation and thermogenesis by burning fatty acids during uncoupling respiration. Oleoylethanolamide (OEA) can inhibit feeding and stimulate lipolysis by activating peroxisome proliferator-activating receptor-α (PPARα) in white adipose tissue (WAT). Here we explore whether PPARα activation potentiates the effect of β3-adrenergic stimulation on energy balance mediated by the respective agonists OEA and CL316243. The effect of this pharmacological association on feeding, thermogenesis, β-oxidation, and lipid and cholesterol metabolism in epididymal (e)WAT was monitored. CL316243 (1 mg/kg) and OEA (5 mg/kg) co-administration over 6 days enhanced the reduction of both food intake and body weight gain, increased the energy expenditure and reduced the respiratory quotient (VCO2/VO2). This negative energy balance agreed with decreased fat mass and increased BAT weight and temperature, as well as with lowered plasma levels of triglycerides, cholesterol, nonessential fatty acids (NEFAs), and the adipokines leptin and TNF-α. Regarding eWAT, CL316243 and OEA treatment elevated levels of the thermogenic factors PPARα and UCP1, reduced p38-MAPK phosphorylation, and promoted brown-like features in the white adipocytes: the mitochondrial (Cox4i1, Cox4i2) and BAT (Fgf21, Prdm16) genes were overexpressed in eWAT. The enhancement of the fatty-acid β-oxidation factors Cpt1b and Acox1 in eWAT was accompanied by an upregulation of de novo lipogenesis and reduced expression of the unsaturated-fatty-acid-synthesis enzyme gene, Scd1. We propose that the combination of β-adrenergic and PPARα receptor agonists promotes therapeutic adipocyte remodelling in eWAT, and therefore has a potential clinical utility in the treatment of obesity.