ArticleScientific reports2025
Examining spatial microbiome variations across gastrointestinal tract regions in obesity.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Expanding bile acid diversityNatural product reports · 2026Review
- Cigarette smoke extract exposure induces gut microbial dysbiosis and impairs short-chain fatty acid metabolism in juvenile rats.Pediatric research · 2026Article
- Personalized Nutrition Through the Gut Microbiome in Metabolic Syndrome and Related Comorbidities.Nutrients · 2026Review
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Authors and funding
11 authors.
Funding
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Abstract
Obesity, a global health concern, is associated with alterations in the gut microbiome, yet its spatial dynamics across the gastrointestinal (GI) tract remain poorly understood. This study provides the first comprehensive analysis of the spatial microbiome in individuals with obesity, encompassing samples from the stomach, peritoneum, jejunum (50 cm and 150 cm post-Treitz), and feces before and after bariatric surgery. Using 16 S rRNA sequencing, we analyzed microbial composition and diversity after computational decontamination in 172 high-quality samples from 51 participants. Our results reveal significant differences in alpha diversity across GI sites, with stool samples exhibiting the highest diversity, which decreased post-surgery. The presence of microbial DNA in traditionally sterile compartments, such as the peritoneum and stomach, suggests potential microbial-host interactions warranting further exploration. Contaminants, including Nitrotoga sp., were identified in low-biomass samples and excluded using computational decontamination, emphasizing the need for rigorous controls. This study establishes a foundation for spatial microbiome analysis in obesity, highlighting the impact of bariatric surgery and the importance of advanced multi-omics approaches to unravel host-microbiome dynamics.
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