Evidence map›Paper›PMID 31098399›Full record

ArticlemSystems

A Metagenomic Meta-analysis Reveals Functional Signatures of Health and Disease in the Human Gut Microbiome.

Courtney R Armour, Stephen Nayfach, Katherine S Pollard, Thomas J Sharpton

Registry-linked trialAbstract read
In one paragraph

Article in mSystems. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05122065 (Defining the Vaginal Microbiome and the Vaginal pH of Menopausal Women With and Without Genitourinary Syndrome and With and Without Hormone Replacement Therapy), which is not on this map. Cited by 97 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
97citing papers in PubMed, 10 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.

NCT05122065 unknown statusnot on this map

Defining the Vaginal Microbiome and the Vaginal pH of Menopausal Women With and Without Genitourinary Syndrome and With and Without Hormone Replacement Therapy

TypeobservationalSponsorFemTec Health Inc.Ran2021 to 2022Enrolled432ConditionsMenopause, Hormone Replacement Therapy, Genitourinary Syndrome of Menopause
3 · Its place in the literature

Who cites it

97 citing papers in PubMed, 10 syntheses or guidelines pooled it.

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  11. Trial
  12. Alterations of gut microbiota in Down syndrome and their association with Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  13. Article
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  16. bioRxiv : the preprint server for biology · 2026
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  20. Review

37 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

4 authors.

Courtney R ArmourMolecular and Cellular Biology Program, Oregon State University, Corvallis, Oregon, USA.ORCID https://orcid.org/0000-0002-5250-1224
Stephen NayfachEnvironmental Genomics and Systems Biology Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Katherine S PollardGladstone Institutes, San Francisco, California, USA.
Thomas J SharptonDepartment of Microbiology, Oregon State University, Corvallis, Oregon, USA.

Funding

Gut microbiota mediates the interplay between immunity and glucose metabolismR01DK103761 · NIDDK · OREGON STATE UNIVERSITY · PI SHULZHENKO, NATALIA · 2015 to 2019
$1.7M
Network-based statistical methods to decode interactions within microbiomes R01GM126549 · NIGMS · OREGON STATE UNIVERSITY · PI JIANG, YUAN · 2017 to 2020
$770k
NIDDK NIH HHS R01 DK103761NIGMS NIH HHS R01 GM126549
6 · The paper itself

Abstract

While recent research indicates that human health is affected by the gut microbiome, the functional mechanisms that underlie host-microbiome interactions remain poorly resolved. Metagenomic clinical studies can address this problem by revealing specific microbial functions that stratify healthy and diseased individuals. To improve our understanding of the relationship between the gut microbiome and health, we conducted the first integrative functional analysis of nearly 2,000 publicly available fecal metagenomic samples obtained from eight clinical studies. We identified characteristics of the gut microbiome that associate generally with disease, including functional alpha-diversity, beta-diversity, and beta-dispersion. Using regression modeling, we identified specific microbial functions that robustly stratify diseased individuals from healthy controls. Many of these functions overlapped multiple diseases, suggesting a general role in host health, while others were specific to a single disease and may indicate disease-specific etiologies. Our results clarify potential microbiome-mediated mechanisms of disease and reveal features of the microbiome that may be useful for the development of microbiome-based diagnostics.

Indexed as

arthritiscancerdiseasehumansinflammatory bowel diseaseliver cirrhosismetagenomicsmicrobiomeobesitytype 2 diabetes

Identifiers

PMID31098399
PMCPMC6517693

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.