Evidence map›Paper›PMID 25307765›Full record

SynthesisFEBS letters2014

Meta-analyses of human gut microbes associated with obesity and IBD.

William A Walters, Zech Xu, Rob Knight

Abstract readMeta-Analysis
In one paragraph

Synthesis in FEBS letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 473 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
473citing papers in PubMed, 13 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

473 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  14. Imbalance of gut microbiota in gestational diabetes.BMC pregnancy and childbirth · 2024
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413 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

William A WaltersDepartment of Molecular, Cellular and Developmental Biology, University of Colorado, Boulder, CO 80309, USA.
Zech XuBioFrontiers Institute, University of Colorado, Boulder, CO 80309, USA.
Rob KnightBioFrontiers Institute, University of Colorado, Boulder, CO 80309, USA; Department of Chemistry & Biochemistry, University of Colorado, Boulder, CO 80309, USA; Howard Hughes Medical Institute, Boulder, CO 80309, USA. Electronic address: rob@colorado.edu.

Funding

Trace the flow of genes in the gut microbiome of obese and lean twin pairsP01DK078669 · NIDDK · WASHINGTON UNIVERSITY · PI GORDON, JEFFREY I · 2007 to 2018
$16.0M
TRAINING IN SIGNAL TRANSDUCTION &CELL CYCLE REGULATIONT32GM008759 · NIGMS · UNIVERSITY OF COLORADO AT BOULDER · PI AHN, NATALIE G. · 2000 to 2020
$5.9M
Epidemiology of the gut microbiome, prediabetes and diabetes in LatinosR01MD011389 · NIMHD · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI BURK, ROBERT D, KAPLAN, ROBERT C · 2016 to 2020
$4.3M
Predoctoral Training Program in Signaling and Cellular Regulation INCLUDE Down Syndrome SupplementT32GM142607 · NIGMS · UNIVERSITY OF COLORADO · PI Sabrina Leigh Spencer, Tin Tin Su · 2021 to 2026
$3.6M
New Tools for Understanding the Composition and Dynamics of Microbial CommunitiesR01HG004872 · NHGRI · UNIVERSITY OF COLORADO · PI KNIGHT, ROB · 2008 to 2012
$1.8M
Howard Hughes Medical InstituteNHGRI NIH HHS R01 HG004872NIDDK NIH HHS P01 DK078669NIGMS NIH HHS T32 GM008759NIGMS NIH HHS T32 GM142607NIMHD NIH HHS R01 MD011389
6 · The paper itself

Abstract

Recent studies have linked human gut microbes to obesity and inflammatory bowel disease, but consistent signals have been difficult to identify. Here we test for indicator taxa and general features of the microbiota that are generally consistent across studies of obesity and of IBD, focusing on studies involving high-throughput sequencing of the 16S rRNA gene (which we could process using a common computational pipeline). We find that IBD has a consistent signature across studies and allows high classification accuracy of IBD from non-IBD subjects, but that although subjects can be classified as lean or obese within each individual study with statistically significant accuracy, consistent with the ability of the microbiota to experimentally transfer this phenotype, signatures of obesity are not consistent between studies even when the data are analyzed with consistent methods. The results suggest that correlations between microbes and clinical conditions with different effect sizes (e.g. the large effect size of IBD versus the small effect size of obesity) may require different cohort selection and analysis strategies.

Indexed as

AnimalsFecesGastrointestinal TractHumansInflammatory Bowel DiseasesObesitySequence Analysis, RNAGut microbiotaMetaanalysis

Identifiers

PMID25307765
PMCPMC5050012

What OpenQuestion holds

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Registered trials

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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.