ArticleObesity (Silver Spring, Md.)2015
Beta-diversity metrics of the upper digestive tract microbiome are associated with body mass index.
Article in Obesity (Silver Spring, Md.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 47 citations in OpenAlex.
- A Comparison of the Gut Microbiome of Two Sympatric Macropods Along an Urbanisation Gradient in Tasmania.Environmental microbiology reports · 2026Article
- Gut Microbiota Dysbiosis and Toxic Metabolite Pathways Linked to Childhood Obesity in Eastern China.Toxics · 2025Article
- Effects ofFoods (Basel, Switzerland) · 2025Article
- Clinical evidence of the link between gut microbiome and myalgic encephalomyelitis/chronic fatigue syndrome: a retrospective review.European journal of medical research · 2024Review
- Article
- Effects of Ramadan intermittent fasting on gut microbiome: is the diet key?Frontiers in microbiology · 2023Article
- Exploring methods to summarize gut microbiota composition for microbiability estimation and phenotypic prediction in swine.Journal of animal science · 2022Article
- Gut Microbiota of Obese Children Influences Inflammatory Mucosal Immune Pathways in the Respiratory Tract to Influenza Virus Infection: Optimization of an Ideal Duration of Microbial Colonization in a Gnotobiotic Pig Model.Microbiology spectrum · 2022Article
- DivCom: A Tool for Systematic Partition of Groups of Microbial Profiles Into Intrinsic Subclusters and Distance-Based Subgroup Comparisons.Frontiers in bioinformatics · 2022Article
- Increased Relative Abundance ofFrontiers in nutrition · 2022Article
- Microbiome and Cancers of the Esophagus: A Review.Microorganisms · 2021Review
- Changes in Bacterial Endophyte Community FollowingInternational journal of molecular sciences · 2021Article
- Inter- and Transgenerational Effects of Paternal Exposure to Inorganic Arsenic.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021Article
- Gut microbiota of obese and diabetic Thai subjects and interplay with dietary habits and blood profiles.PeerJ · 2020Article
- Alteration of the Gut Microbiome in Normal and Overweight School Children from Selangor withEvolutionary bioinformatics online · 2020Article
- Understanding the Role of the Gut Microbiome and Microbial Metabolites in Obesity and Obesity-Associated Metabolic Disorders: Current Evidence and Perspectives.Current obesity reports · 2019Review
- Sex-specific association between gut microbiome and fat distribution.Nature communications · 2019Article
- Article
- Associations of the Oral Microbiota with Obesity and Menarche in Inner City Girls.Journal of childhood obesity · 2019Article
- The Gut Microbiome Profile in Obesity: A Systematic Review.International journal of endocrinology · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 5 institutions in 2 countries.
Funding
Abstract
objectiveStudies of the fecal microbiome have implicated the gut microbiota in obesity, but few studies have examined the microbial diversity at other sites. The association between obesity and the upper gastrointestinal (UGI) microbial diversity was explored.
methodsThe UGI microbiome of 659 healthy Chinese adults with a measured body mass index (BMI) range of 15.0 to 35.7 was characterized using the 16S rRNA gene DNA microarray (HOMIM).
resultsIn multivariate-adjusted models, alpha diversity was not associated with BMI. However, beta diversity, assessed by principal coordinate vectors generated from an unweighted UniFrac distance matrix of pairwise comparisons, was associated with BMI (third and fourth vectors, P = 0.01 and P = 0.03, respectively). Moreover, beta diversity, assessed by cluster membership (three clusters), was also associated with BMI; individuals in the first cluster [median BMI 22.35, odds ratio (OR) = 0.48, 95% confidence interval (CI) = 0.05-4.34] and second cluster [median BMI 22.55, OR = 0.26, 95% CI = 0.09-0.75] were significantly less likely to be obese (BMI ≥ 27.5) than those in the third cluster (median BMI 23.59).
conclusionsA beta-diversity metric of the UGI microbiome is associated with a four fold difference in obesity risk in this Asian population. Future studies should address whether the UGI microbiome plays a causal role in obesity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.