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临床试验/NCT07277465
NCT07277465已完成不适用

Role of the Microbiota in Obesity: Effect After Bariatric Surgery

Celia Bañuls2 个研究点 分布在 1 个国家目标入组 60 人开始时间: 2021年3月3日最近更新:

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
60
试验地点
2
主要终点
Analyze the changes in the diversity of the intestinal microbiota after bariatric surgery.

研究概览

简要总结

Several studies have demonstrated that bariatric surgery is effective for inducing weight loss in obese patients. In addition, the effects of this surgery on multiple associated alterations are well known, including changes in the secretion and activity of hormones involved in appetite regulation, satiety, and energy expenditure, as well as alterations in the gut microbiota composition.

However, in cases of severe obesity, recent data have challenged the prevailing view, as bacterial species associated with low microbial richness (prior to surgery) appear to change only marginally after bariatric surgery, despite significant metabolic improvements.

Our objective is to examine whether gut microbiota and gastrointestinal peptides are further impaired in severe obesity and, additionally, to explore how the microbiota relates to metabolic profile or sex, as well as whether bariatric surgery may differentially correct obesity-related intestinal microbial features.

To this end, we propose a prospective, interventional, translational clinical study involving a cohort of 60 obese patients (BMI > 35 kg/m²) undergoing laparoscopic gastric bypass surgery. Patients will be grouped according to their degree of obesity to assess potential baseline differences and to evaluate the efficacy of the intervention. Furthermore, we will investigate whether these parameters differ according to metabolic profile or sex.

Body composition and nutritional status will be assessed, along with cardiovascular risk factors and comorbidities (hypertension, obstructive sleep apnea syndrome, dyslipidemia, type 2 diabetes mellitus, and insulin resistance). Gastrointestinal hormones (ghrelin, GIP, GLP-1, PYY, CCK, and leptin) will be measured in serum using Luminex XMAP technology. The content and diversity of the gut microbiota will be analyzed (16S rRNA amplicon sequencing and shotgun metagenomic sequencing using Illumina MiSeq technology) in stool samples collected before and 6-12 months after surgery. Additionally, individualized dietary follow-up and assessment of participants' quality of life will be conducted.

详细描述

Obesity and type 2 diabetes mellitus (T2DM) continue to increase worldwide and are strongly associated with adverse metabolic and cardiovascular outcomes. Bariatric surgery, particularly laparoscopic gastric bypass (LGB), remains the most effective therapeutic strategy for substantial weight reduction, glycemic improvement, and favorable modulation of gastrointestinal hormones, bile acids, and gut microbiota. Nevertheless, the mechanisms explaining heterogeneous metabolic responses-especially in individuals with severe, morbid, or extreme obesity-remain insufficiently elucidated. In particular, gut microbial diversity, microbial gene richness, and related inflammatory pathways appear to contribute to metabolic health, yet their behavior in severe obesity and their evolution following bariatric surgery remain poorly characterized.

To address these gaps, the investigators designed a prospective, interventional, comparative, and translational clinical study including 60 obese individuals scheduled for bariatric surgery at a single tertiary hospital. Participants will be consecutively recruited according to strict inclusion and exclusion criteria and classified by degree of adiposity (severe, morbid, or extreme obesity), metabolic phenotype (metabolically healthy or metabolically abnormal obesity), and sex.

Prior to the surgical intervention, a structured dietary protocol will be implemented. Participants will receive an individualized hypocaloric diet tailored to nutritional requirements, with a macronutrient distribution of 55% carbohydrates, 30% fats, and 15% proteins. During the two weeks preceding surgery, a very low-calorie diet based on Optisource® sachets will be administered in three daily intakes. Postoperative dietary progression will follow standardized clinical guidelines, with close monitoring to support weight reduction and metabolic stabilization. Follow-up evaluations will occur at 1, 6, and 12 months after surgery.

All participants will undergo comprehensive baseline and longitudinal assessments, including: evaluation of nutritional status; anthropometric measurements; body composition and basal metabolism; cardiovascular risk factors; metabolic comorbidities; and exclusion of secondary causes of obesity. Analytical parameters will include fasting plasma glucose, lipid profile (triglycerides, HDL-cholesterol), blood pressure, markers of hepatic and renal function, and additional biochemical indices relevant to obesity and T2DM risk stratification. Gut microbiota profiling will be conducted to evaluate microbial composition, diversity, and gene richness. Gastrointestinal hormone analyses will quantify circulating incretins and appetite-regulating peptides, including GLP-1, PYY, and ghrelin, to explore their association with postoperative metabolic outcomes. Oxidative stress and inflammatory parameters will be also assessed in order to stratify cardiovascular risk before and after induced weight loss after bariatric surgery.

Statistical analyses will be performed using SPSS 17.0. Categorical variables will be summarized with frequency distributions and percentages. Quantitative variables will be described using mean, range, and standard deviation, with normality assessed via the Kolmogorov-Smirnov test. Between-group comparisons (sex, metabolic phenotype) will employ unpaired t-tests or Mann-Whitney U tests; comparisons across obesity categories will use ANOVA. Longitudinal changes following surgery will be evaluated with repeated measures ANOVA or paired t-tests. Correlations will be analyzed using Pearson or Spearman methods, and logistic regression models will be developed to identify predictive factors for specific metabolic responses.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Treatment
盲法
None

入排标准

年龄范围
18 Years 至 65 Years(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Patients with a body mass index (BMI) greater than 40 kg/m² (or > 35 kg/m² with minimum one obesity comorbidity).
  • Aged between 18 and 65 years.
  • Patients with a known duration of obesity exceeding five years, despite dietary interventions and farmacological treatment.

排除标准

  • Due to the nature of the study, patients with acute or chronic inflammatory diseases, established hepatic or renal insufficiency (defined as transaminase levels ±2 SD from the mean and estimated glomerular filtration rate [CKD-EPI formula] >60), neoplasic diseases, or secondary causes of obesity (e.g., hypothyroidism, Cushing's syndrome) will be excluded.

结局指标

主要结局

Analyze the changes in the diversity of the intestinal microbiota after bariatric surgery.

时间窗: 5 years

To assess the alpha-diversity of the intestinal microbiota, defined as the average diversity of species in an ecosystem, the Shannon index will be used. The results are interpreted as follows: values less than 2 are considered low in diversity and values greater than 3 are high in species diversity.

Assess differences in the diversity of the intestinal microbiota after bariatric surgery depending on the surgical procedure (Roux-en-Y gastric bypass vs sleeve gastrectomy vs SADI-S).

时间窗: 5 years

To assess the beta-diversity of the intestinal microbiota, defined as the average diversity of species in an ecosystem, the Bray-Curtis index will be used. The results are interpreted as follows: values less than 2 are considered low in diversity and values greater than 3 are high in species diversity.

次要结局

  • Evaluate the differences in the diversity of the intestinal microbiota depending on whether patients present metabolically healthy obesity (MHO) or metabolically unhealthy obesity (MUHO) before surgery(5 years)
  • Assess significant changes in high-sensitivity C-reactive protein (hs-CRP) as an inflammatory parameter after bariatric surgery.(3 years)
  • Evaluate significant changes in C3 protein as an inflammatory parameter after bariatric surgery.(3 years)
  • Evaluate significant changes in interleukin 6 (IL-6) levels as a pro-inflammatory molecule after bariatric surgery.(3 years)
  • Evaluate significant changes in tumor necrosis factor alpha (TNF-alpha) levels as a pro-inflammatory molecule after bariatric surgery.(3 years)
  • Assess significant changes in superoxide dismutase (SOD) levels after bariatric surgery.(3 years)
  • Analyze the significant differences between metabolomic profile before and after bariatric surgery, and between different surgery procedures (Roux-en-Y gastric bypass vs. sleeve gastrectomy).(3 years)
  • Evaluate if there is a significant reduction after bariatric surgery in total ROS levels.(3 years)
  • Assess if there is a significant reduction after bariatric surgery in glutathione levels.(3 years)
  • Analyze if there is a significant reduction after bariatric surgery in mitochondrial ROS production.(3 years)
  • Evaluate if there is a significant improvement after bariatric surgery in mitochondrial membrane potential.(3 years)
  • Identify and assess the differences in metabolic pathways of gut microbiota after bariatric surgery.(5 years)
  • Analyze if there is a significant reduction after the bariatric surgery in adipsin levels.(3 years)
  • Assess significant changes in plasmatic resistin levels as an inflammatory parameter after surgical intervention.(3 years)
  • Evaluate significant reductions in Plasminogen activator inhibitor-1 (PAI-1) as an inflammatory parameter after the bariatric surgery.(3 years)
  • Analyze if there is a significant reduction after bariatric surgery in mitochondrial ROS production.(3 years)
  • Evaluate the differences in the diversity of the intestinal microbiota depending on whether patients present metabolically healthy obesity (MHO) or metabolically unhealthy obesity (MUHO) before surgery(5 years)
  • Evaluate significant changes in body fat mass percentage after bariatric surgery.(3 years)
  • Assess significant changes in high-sensitivity C-reactive protein (hs-CRP) as an inflammatory parameter after bariatric surgery.(3 years)
  • Evaluate significant changes in C3 protein as an inflammatory parameter after bariatric surgery.(3 years)
  • Evaluate significant changes in interleukin 1-beta (IL-1B) levels as a pro-inflammatory molecule after bariatric surgery.(3 years)
  • Evaluate significant changes in interleukin 6 (IL-6) levels as a pro-inflammatory molecule after bariatric surgery.(3 years)
  • Evaluate significant changes in tumor necrosis factor alpha (TNF-alpha) levels as a pro-inflammatory molecule after bariatric surgery.(3 years)
  • Assess significant changes in superoxide dismutase (SOD) levels after bariatric surgery.(3 years)
  • Analyze the significant differences between metabolomic profile before and after bariatric surgery, and between different surgery procedures (Roux-en-Y gastric bypass vs. sleeve gastrectomy).(3 years)
  • Evaluate if there is a significant reduction after bariatric surgery in total ROS levels.(3 years)
  • Assess if there is a significant reduction after bariatric surgery in glutathione levels.(3 years)
  • Analyze if there is a significant change after bariatric surgery in total free radicals levels.(3 years)
  • Evaluate if there is a significant change after bariatric surgery in superoxide levels.(3 years)
  • Evaluate if there is a significant improvement after bariatric surgery in mitochondrial membrane potential.(3 years)
  • Identify and assess the differences in metabolic pathways of gut microbiota after bariatric surgery.(5 years)
  • Analyze if there is a significant reduction after the bariatric surgery in adipsin levels.(3 years)
  • Assess significant changes in plasmatic resistin levels as an inflammatory parameter after surgical intervention.(3 years)
  • Analyze if there is a significant change after the bariatric surgery in leptin levels.(3 years)
  • Evaluate significant reductions in Plasminogen activator inhibitor-1 (PAI-1) as an inflammatory parameter after the bariatric surgery.(3 years)
  • Assess if there is a significant change after the bariatric surgery in ghrelin levels.(3 years)
  • Assess significant changes in serum Glucagon-like peptide-1 (GLP-1) levels after the bariatric surgery.(3 years)
  • Assess if there is a significant improvement after bariatric surgery in peptide YY (PYY) levels.(3 years)
  • Evaluate significant changes in serum gastric inhibitory polypeptide (GIP) levels after the bariatric surgery.(3 years)
  • Analyze if there is a significant improvement after bariatric surgery in cholecystokinin (CCK) levels.(3 years)

研究者

发起方
Celia Bañuls
申办方类型
Other
责任方
Sponsor Investigator
主要研究者

Celia Bañuls

Principal Investigator

Fundación para el Fomento de la Investigación Sanitaria y Biomédica de la Comunitat Valenciana

研究点 (2)

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