ArticleGut microbes
A microbial signature following bariatric surgery is robustly consistent across multiple cohorts.
Article in Gut microbes. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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Who cites it
28 citing papers in PubMed.
- Gut Microbiota Serves a Predictable Outcome of Short-Term Low-Carbohydrate Diet (LCD) Intervention for Patients with Obesity.Microbiology spectrum · 2021Trial
- Decoding the Gut-Fat-Heart Axis: From Molecular Communication Networks to Clinical Translation Strategies.International journal of molecular sciences · 2026Review
- Exercise reprograms the gut microbiota to enhance metabolic outcomes after bariatric surgery: a translational, cross-species study.International journal of obesity (2005) · 2026Article
- Gut Microbiota-specific Profile Prior to Surgery for Predicting Type 2 Diabetes Remission in Patients Undergoing Sleeve Gastrectomy.Obesity surgery · 2026Observational
- Circadian disruption exacerbates MASH by reducingiScience · 2026Article
- Abdominal Pain After Bariatric Surgery and the Role of the Gut: A Review.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026Review
- Alterations in gut microbial metabolic pathways following bariatric surgery assessed by 16S rRNA gene sequencing.Gut microbiome (Cambridge, England) · 2026Article
- Site-Specific Gut Microbiome Changes After Roux-en-Y Gastric Bypass in Rats: Effects of a Multicomponent Bovine Colostrum-Based Complex.International journal of molecular sciences · 2025Article
- Decoding longitudinal microbiome trajectories: an interpretable machine learning approach for biomarker discovery and prediction.Briefings in bioinformatics · 2025Article
- High-dimensional biomarker identification for interpretable disease prediction via machine learning models.Bioinformatics (Oxford, England) · 2025Article
- Predicting pregnancy at the first year following metabolic-bariatric surgery: development and validation of machine learning models.Surgical endoscopy · 2025Article
- MAGs-based genomic comparison of gut significantly enriched microbes in obese individuals pre- and post-bariatric surgery across diverse locations.Frontiers in cellular and infection microbiology · 2025Article
- A species ofFrontiers in endocrinology · 2025Article
- Longitudinal Microbiome-based Interpretable Machine Learning for Identification of Time-Varying Biomarkers in Early Prediction of Disease Outcomes.bioRxiv : the preprint server for biology · 2024Article
- Intestinal Energy Harvest Mediates Gut Microbiota-Associated Weight Loss Following Bariatric Surgery.Obesity surgery · 2024Article
- Weight-centric prevention of cancer.Obesity pillars · 2024Review
- Influence of Bariatric Surgery on Gut Microbiota Composition and Its Implication on Brain and Peripheral Targets.Nutrients · 2024Review
- Microbiota dynamics preceding bariatric surgery as obesity treatment: a comprehensive review.Frontiers in nutrition · 2024Review
- Effect of synbiotic supplementation on obesity and gut microbiota in obese adults: a double-blind randomized controlled trial.Frontiers in nutrition · 2024Article
- OBMeta: a comprehensive web server to analyze and validate gut microbial features and biomarkers for obesity-associated metabolic diseases.Bioinformatics (Oxford, England) · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Bariatric surgery induces significant shifts in the gut microbiota which could potentially contribute to weight loss and metabolic benefits. The aim of this study was to characterize a microbial signature following Roux-en-Y Gastric bypass (RYGB) surgery using novel and existing gut microbiota sequence data. We generated 16S rRNA gene and metagenomic sequences from fecal samples from patients undergoing RYGB surgery (n = 61 for 16S rRNA gene and n = 135 for metagenomics) at pre-surgical baseline and one, six, and twelve-month post-surgery. We compared these data with three smaller publicly available 16S rRNA gene and one metagenomic datasets from patients who also underwent RYGB surgery. Linear mixed models and machine learning approaches were used to examine the presence of a common microbial signature across studies. Comparison of our new sequences with previous longitudinal studies revealed strikingly similar profiles in both fecal microbiota composition (r = 0.41 ± 0.10;
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.