RESUMO
BACKGROUND: Roux-en-Y gastric bypass (RYGB) surgery belongs to the most frequently performed surgical therapeutic strategies against adiposity and its comorbidities. However, outcome is limited in a substantial cohort of patients with inadequate primary weight loss or considerable weight regain. In this study, gut microbiota composition and systemically released metabolites were analyzed in a cohort of extreme weight responders after RYGB. METHODS: Patients (n = 23) were categorized based on excess weight loss (EWL) at a minimum of two years after RYGB in a good responder (EWL 93 ± 4.3%) or a bad responder group (EWL 19.5 ± 13.3%) for evaluation of differences in metabolic outcome, eating behavior and gut microbiota taxonomy and metabolic activity. RESULTS: Mean BMI was 47.2 ± 6.4 kg/m2 in the bad vs. 26.6 ± 1.2 kg/m2 in the good responder group (p = 0.0001). We found no difference in hunger and satiety sensation, in fasting or postprandial gut hormone release, or in gut microbiota composition between both groups. Differences in weight loss did not reflect in metabolic outcome after RYGB. While fecal and circulating metabolite analyses showed higher levels of propionate (p = 0.0001) in good and valerate (p = 0.04) in bad responders, respectively, conjugated primary and secondary bile acids were higher in good responders in the fasted (p = 0.03) and postprandial state (GCA, p = 0.02; GCDCA, p = 0.02; TCA, p = 0.01; TCDCA, p = 0.02; GDCA, p = 0.05; GUDCA, p = 0.04; TLCA, p = 0.04). CONCLUSIONS: Heterogenous weight loss response to RYGB surgery separates from patients' metabolic outcome, and is linked to unique serum metabolite signatures post intervention. These findings suggest that the level of adiposity reduction alone is insufficient to assess the metabolic success of RYGB surgery, and that longitudinal metabolite profiling may eventually help us to identify markers that could predict individual adiposity response to surgery and guide patient selection and counseling.
RESUMO
AIM: To explore which variables can predict the weight response to exenatide and to individualize specific therapies for patients with type 2 diabetes mellitus (T2DM) who need treatment with exenatide. METHODS: We performed a study among T2DM patients who were treated with exenatide twice daily for at least 12 months from January 2017 to December 2020. Data of the height, weight, body mass index (BMI) calculated, and HbA1c, fasting plasma glucose (FPG), postprandial plasma glucose (PPG), fasting serum insulin (FINS), postprandial serum insulin (PINS), blood lipids and concurrent diabetic medications at baseline, 3 months, 6 months and 12 months after exenatide initiation were collected. Patients were categorized into two cohorts based on weight loss ≥3%: responders and non-responders. The binary logistic regression analysis was used to identify the major variables of weight response to exenatide. RESULTS: The duration of diabetes in the responder group was shorter than that in patients in the non-responder group (P<0.05). For patients in the responder and non-responder groups, there was a significant decrease in weight, BMI, HbA1c, FPG, PPG, homeostasis model assessment of insulin resistance (HOMA-IR) and increase in homeostasis model assessment for beta cell function (HOMA-B) compared with the prarameters before treatment with exenatide (P<0.001). The baseline weight and baseline HbA1c were associated with weight loss after 6 months of treatment with exenatide (P<0.05). CONCLUSION: Baseline weight and HbA1c improvement were positively correlated with weight loss after 6 months of treatment with exenatide and the major predictors of weight response to exenatide.
