Evidence map›Paper›PMID 29209090›Full record

SynthesisNature communications2017

Meta-analysis of gut microbiome studies identifies disease-specific and shared responses.

Claire Duvallet, Sean M Gibbons, Thomas Gurry, Rafael A Irizarry, Eric J Alm

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 579 papers, 18 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
579citing papers in PubMed, 18 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

579 citing papers in PubMed, 18 syntheses or guidelines pooled it.

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519 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

5 authors.

Claire DuvalletDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Sean M GibbonsDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Thomas GurryDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
Rafael A IrizarryDepartment of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA, 02215, USA.
Eric J AlmDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA. ejalm@mit.edu.

Funding

Pilot & Feasibility ProgramP30DK043351 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI RAYMOND T CHUNG · 1991 to 2026
$35.3M
NIDDK NIH HHS P30 DK043351
6 · The paper itself

Abstract

Hundreds of clinical studies have demonstrated associations between the human microbiome and disease, yet fundamental questions remain on how we can generalize this knowledge. Results from individual studies can be inconsistent, and comparing published data is further complicated by a lack of standard processing and analysis methods. Here we introduce the MicrobiomeHD database, which includes 28 published case-control gut microbiome studies spanning ten diseases. We perform a cross-disease meta-analysis of these studies using standardized methods. We find consistent patterns characterizing disease-associated microbiome changes. Some diseases are associated with over 50 genera, while most show only 10-15 genus-level changes. Some diseases are marked by the presence of potentially pathogenic microbes, whereas others are characterized by a depletion of health-associated bacteria. Furthermore, we show that about half of genera associated with individual studies are bacteria that respond to more than one disease. Thus, many associations found in case-control studies are likely not disease-specific but rather part of a non-specific, shared response to health and disease.

Indexed as

Gastrointestinal MicrobiomeBacteriaCase-Control StudiesFecesGastrointestinal DiseasesGastrointestinal TractHumansPopulation DensityPopulation Dynamics

Identifiers

PMID29209090
PMCPMC5716994

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.