24 research outputs found

    Weight loss methods and diet history among bariatric surgery candidates

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    Background: Nowadays there are multiple conservative treatments, medical and alternative for weight loss, with high failure levels in patients with obesity. The history of variability, effectiveness, and diversity of such treatments has been poorly explored in candidates to bariatric surgery, particularly in Latin America, where high rates of overweight and obesity are found.Methods: Cross-sectional study in a single center, where a questionnaire was given to all patients who presented for bariatric surgery evaluation. The primary objective was to identify the dietary history and methods used for weight loss in patients with obesity, focusing in the diet type/method, length, effectiveness, and weight regain. Also, a basal anthropometric/demographic analysis, and type of method used (diet, medications, homeopathy, supplements, and alternative therapies) was performed.Results: 400 questionnaires were evaluated, from which the average age was 40.2 years, 79.5% representing female sex, and an average weight of 114.8 kg. Childhood obesity was reported in 38%. 64.5% used among 1-5 methods to lose weight historically, but 74.7% never associated physical activity. Supervised diet (with and without medication) was the most effective method (44% of cases used medication); however, they were discontinued in 50.5% due to adverse effects.Conclusions: The use of a diet or alternative treatments, with or without medications, have shown poor weight loss and minimum durability. The use of medication is very common, but most people discontinue their use due to adverse effects events

    Short-term outcomes after long inverted versus short standard biliopancreatic limb in Roux-en-Y gastric bypass

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    Background: Obesity is a public health issue that affects the entire world and it is rising. Roux-en-Y gastric bypass is one of the most common bariatric procedures and it can reach a significant and sustained excess weight loss and efficient comorbidity control. The main objective was to compare short-term outcomes between standard versus long biliopancreatic limb gastric bypass patients.Methods: it was a retrospective, comparative, descriptive, single-center study. We evaluated obese patients that underwent a laparoscopic Roux-en-Y gastric bypass with standard or long biliopancreatic limb in Centro Medico ABC, Mexico City, and compared general demographics, weight loss, excess weight loss, comorbidities and quality of life.Results: Of 50 patients analyzed, 24 were in the standard gastric bypass (S-GB) and 26 in the long biliopancreatic limb (LBPL-GB). Mean weight loss in the S-GB group was 33.1±12.1 kg and in the LBPL-GB was 40.2±12.6 kg with a difference of 7.1 kg. The percentage of excess weight loss (%EWL) was 72.5±14% in S-GB and 72.9±19% in LBPL-GB, with a difference of 0.4% in the 12 months of follow-up. There was a complete reduction of hypoglycemic drugs in 80% in the S-GB group and 100% in the LBPL-GB group.Conclusions: With this modification of the technique, we achieved important outcomes in regard of comorbidities, without affecting drastically weight loss or the EWL. This procedure is safe and feasible

    Perioperative practices concerning sleeve gastrectomy: a survey of 863 surgeons with a cumulative experience of 520,230 procedures

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    Background Sleeve Gastrectomy (SG) is the most commonly performed bariatric procedure worldwide. There is currently no scientific study aimed at understanding variations in practices concerning this procedure. The aim of this study was to study the global variations in perioperative practices concerning SG. Methods A 37-item questionnaire-based survey was conducted to capture the perioperative practices of the global community of bariatric surgeons. Data were analysed using descriptive statistics. Results Response of 863 bariatric surgeons from 67 countries with a cumulative experience of 520,230 SGs were recorded. A total of 689 (80%) and 764 (89%) surgeons listed 13 absolute and relative contraindications, respectively. 65% (n = 559) surgeons perform routine preoperative endoscopy and 97% (n=835) routinely use intraoperative orogastric tube for sizing the resection. A wide variation is observed in the diameter of the tube used. 73% (n=627) surgeons start dividing the stomach at a distance of 3-5 cm from the pylorus, and 54% (n=467) routinely use staple line reinforcement. Majority (65%, n=565) of surgeons perform routine intraoperative leak test at the end of the procedure, while 25% (n=218) surgeons perform a routine contrast study in the early postoperative period. Lifelong multivitamin/mineral, iron, vitamin D, calcium, and vitamin B12 supplementation is advocated by 66%, 29%, 40%, 38% and 44% surgeons, respectively. Conclusion There is a considerable variation in the perioperative practices concerning SG. Data can help in identifying areas for future consensus building and more focussed studies

    Altered DNA methylation in liver and adipose tissues derived from individuals with obesity and type 2 diabetes.

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    BACKGROUND: Obesity is a well-recognized risk factor for insulin resistance and type 2 diabetes (T2D), although the precise mechanisms underlying the relationship remain unknown. In this study we identified alterations of DNA methylation influencing T2D pathogenesis, in subcutaneous and visceral adipose tissues, liver, and blood from individuals with obesity. METHODS: The study included individuals with obesity, with and without T2D. From these patients, we obtained samples of liver tissue (n = 16), visceral and subcutaneous adipose tissues (n = 30), and peripheral blood (n = 38). We analyzed DNA methylation using Illumina Infinium Human Methylation arrays, and gene expression profiles using HumanHT-12 Expression BeadChip Arrays. RESULTS: Analysis of DNA methylation profiles revealed several loci with differential methylation between individuals with and without T2D, in all tissues. Aberrant DNA methylation was mainly found in the liver and visceral adipose tissue. Gene ontology analysis of genes with altered DNA methylation revealed enriched terms related to glucose metabolism, lipid metabolism, cell cycle regulation, and response to wounding. An inverse correlation between altered methylation and gene expression in the four tissues was found in a subset of genes, which were related to insulin resistance, adipogenesis, fat storage, and inflammation. CONCLUSIONS: Our present findings provide additional evidence that aberrant DNA methylation may be a relevant mechanism involved in T2D pathogenesis among individuals with obesity

    Development and validation of an interpretable machine learning-based calculator for predicting 5-year weight trajectories after bariatric surgery: a multinational retrospective cohort SOPHIA study

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    Background Weight loss trajectories after bariatric surgery vary widely between individuals, and predicting weight loss before the operation remains challenging. We aimed to develop a model using machine learning to provide individual preoperative prediction of 5-year weight loss trajectories after surgery. Methods In this multinational retrospective observational study we enrolled adult participants (aged \ge18 years) from ten prospective cohorts (including ABOS [NCT01129297], BAREVAL [NCT02310178], the Swedish Obese Subjects study, and a large cohort from the Dutch Obesity Clinic [Nederlandse Obesitas Kliniek]) and two randomised trials (SleevePass [NCT00793143] and SM-BOSS [NCT00356213]) in Europe, the Americas, and Asia, with a 5 year followup after Roux-en-Y gastric bypass, sleeve gastrectomy, or gastric band. Patients with a previous history of bariatric surgery or large delays between scheduled and actual visits were excluded. The training cohort comprised patients from two centres in France (ABOS and BAREVAL). The primary outcome was BMI at 5 years. A model was developed using least absolute shrinkage and selection operator to select variables and the classification and regression trees algorithm to build interpretable regression trees. The performances of the model were assessed through the median absolute deviation (MAD) and root mean squared error (RMSE) of BMI. Findings10 231 patients from 12 centres in ten countries were included in the analysis, corresponding to 30 602 patient-years. Among participants in all 12 cohorts, 7701 (75\bullet3%) were female, 2530 (24\bullet7%) were male. Among 434 baseline attributes available in the training cohort, seven variables were selected: height, weight, intervention type, age, diabetes status, diabetes duration, and smoking status. At 5 years, across external testing cohorts the overall mean MAD BMI was 2\bullet8 kg/m2{}^2 (95% CI 2\bullet6-3\bullet0) and mean RMSE BMI was 4\bullet7 kg/m2{}^2 (4\bullet4-5\bullet0), and the mean difference between predicted and observed BMI was-0\bullet3 kg/m2{}^2 (SD 4\bullet7). This model is incorporated in an easy to use and interpretable web-based prediction tool to help inform clinical decision before surgery. InterpretationWe developed a machine learning-based model, which is internationally validated, for predicting individual 5-year weight loss trajectories after three common bariatric interventions.Comment: The Lancet Digital Health, 202

    Type 2 Diabetes Variants Disrupt Function of SLC16A11 through Two Distinct Mechanisms

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    Type 2 diabetes (T2D) affects Latinos at twice the rate seen in populations of European descent. We recently identified a risk haplotype spanning SLC16A11 that explains ∼20% of the increased T2D prevalence in Mexico. Here, through genetic fine-mapping, we define a set of tightly linked variants likely to contain the causal allele(s). We show that variants on the T2D-associated haplotype have two distinct effects: (1) decreasing SLC16A11 expression in liver and (2) disrupting a key interaction with basigin, thereby reducing cell-surface localization. Both independent mechanisms reduce SLC16A11 function and suggest SLC16A11 is the causal gene at this locus. To gain insight into how SLC16A11 disruption impacts T2D risk, we demonstrate that SLC16A11 is a proton-coupled monocarboxylate transporter and that genetic perturbation of SLC16A11 induces changes in fatty acid and lipid metabolism that are associated with increased T2D risk. Our findings suggest that increasing SLC16A11 function could be therapeutically beneficial for T2D. Video Abstract [Figure presented] Keywords: type 2 diabetes (T2D); genetics; disease mechanism; SLC16A11; MCT11; solute carrier (SLC); monocarboxylates; fatty acid metabolism; lipid metabolism; precision medicin

    Additional file 1 of Altered DNA methylation in liver and adipose tissues derived from individuals with obesity and type 2 diabetes

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    Figure S1. Clustering of methylation data from tissue samples from individuals with obesity. Figure S2. Comparison of methylation averages among tissue types. Figure S3. Comparison of DMCs between different tissues. Figure S4. Differential gene expression. Table S1. List of DMCs in WB in the comparison between the DO and NDO groups. Table S2. List of DMCs in SAT in the comparison between the DO and NDO groups. Table S3. List of DMCs in VAT in the comparison between the DO and NDO groups. Table S4. List of DMCs in LT in the comparison between the DO and NDO groups. Table S5. Gene ontology enrichment analysis using the genes with DMCs in SAT. Table S6. Gene ontology enrichment analysis using the genes with DMCs in VAT. Table S7. Gene ontology enrichment analysis using the genes with DMCs in LT. Table S8. Differential gene expression in WB in the comparison between DO and NDO groups. Table S9. Differential gene expression in SAT in the comparison between DO and NDO groups. Table S10. Differential gene expression in VAT in the comparison between DO and NDO groups. Table S11. Differential gene expression in LT in the comparison between DO and NDO groups. Table S12. List of genes with correlation between alteration of DNA methylation and differential gene expression in WB. Table S13. List of genes with correlation between alteration of DNA methylation and differential gene expression in SAT. Table S14. List of genes with correlation between alteration of DNA methylation and differential gene expression in VAT. Table S15. List of genes with correlation between alteration of DNA methylation and differential gene expression in LT. Table S16. Gene ontology enrichment analysis using the genes with correlation between alteration of DNA methylation and differential gene expression. (PDF 3440 kb
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