Evidence map›Paper›PMID 27383983›Full record

ReviewNature2016

Interactions between the microbiota and pathogenic bacteria in the gut.

Andreas J Bäumler, Vanessa Sperandio

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in Nature, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07261826 (Real-World Study on Fecal Microbiota Transplantation), which is not on this map. Cited by 699 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
699citing papers in PubMed, 1 pooled it
59.7field-weighted citation impact, top 1% of its field
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.

NCT07261826 recruitingnot on this mapstarted 2025, after this paper: background citation

Real-World Study on Fecal Microbiota Transplantation: Long-Term Effectiveness and Safety Statistics

Typeobservational_patient_registrySponsorChen QiYiRan2025 to 2028Enrolled4,000ConditionsClostridium Difficile Infection Recurrence, Ulcerative Colitis (UC), Crohn Disease (CD), Irritable Bowel Syndrome (IBS)
3 · Its place in the literature

Who cites it

699 citing papers in PubMed, 1 synthesis or guideline pooled it, 1,376 citations in OpenAlex.

  1. Pooled it
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  4. Gut microbes · 2026
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  20. Interspecies interaction controlsProceedings of the National Academy of Sciences of the United States of America · 2026
    Article

639 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

2 authors at 2 institutions in 1 country.

Andreas J BäumlerDepartment of Medical Microbiology and Immunology, University of California, Davis, School of Medicine, Davis, California 95616, USA.
Vanessa SperandioDepartment of Microbiology, University of Texas Southwestern Medical Center, Dallas, Texas 75390-9048, USA.
The University of Texas Southwestern Medical Center · USUniversity of California, Davis · US

Funding

Virulence Factors of SalmonellaR01AI044170 · NIAID · UNIVERSITY OF CALIFORNIA DAVIS · PI BAUMLER, ANDREAS J · 1999 to 2022
$8.5M
Quorum sensing regulation of EHEC virulence genesR01AI053067 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI SPERANDIO, VANESSA · 2003 to 2017
$6.3M
Exacerbation of colitis by the microbiotaR01AI112445 · NIAID · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Andreas J Baumler · 2015 to 2026
$6.2M
Microbiota Outgrowth by SalmonellaR01AI096528 · NIAID · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BAUMLER, ANDREAS J · 2011 to 2025
$6.1M
Quorum Sensing Regulation of EHEC Virulence GenesR37AI053067 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI VANESSA SPERANDIO · 2018 to 2026
$5.3M
SdiA regulation of EHEC virulenceR01AI077613 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI SPERANDIO, VANESSA · 2009 to 2017
$3.4M
Tryptophan derivatives in EHEC pathogenesisR01AI114511 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI SPERANDIO, VANESSA · 2015 to 2019
$2.3M
Sugar Regulation of EHEC virulenceR01AI105135 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI SPERANDIO, VANESSA · 2013 to 2016
$1.6M
Mechanism of dysbiosis caused by AE PathogensR21AI117940 · NIAID · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BAUMLER, ANDREAS J · 2015 to 2016
$431k
Inflammation-derived sugars lower resistance against SalmonellaR21AI114922 · NIAID · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BAUMLER, ANDREAS J · 2015 to 2016
$430k
NIAID NIH HHS AI044170NIAID NIH HHS AI05135NIAID NIH HHS AI053067NIAID NIH HHS AI077613NIAID NIH HHS AI096528NIAID NIH HHS AI112445NIAID NIH HHS AI114511NIAID NIH HHS AI114922NIAID NIH HHS AI117940NIAID NIH HHS R01 AI044170NIAID NIH HHS R01 AI053067NIAID NIH HHS R01 AI077613NIAID NIH HHS R01 AI096528NIAID NIH HHS R01 AI105135NIAID NIH HHS R01 AI112445NIAID NIH HHS R01 AI114511NIAID NIH HHS R21 AI114922NIAID NIH HHS R21 AI117940NIAID NIH HHS R37 AI053067
6 · The paper itself

Abstract

The microbiome has an important role in human health. Changes in the microbiota can confer resistance to or promote infection by pathogenic bacteria. Antibiotics have a profound impact on the microbiota that alters the nutritional landscape of the gut and can lead to the expansion of pathogenic populations. Pathogenic bacteria exploit microbiota-derived sources of carbon and nitrogen as nutrients and regulatory signals to promote their own growth and virulence. By eliciting inflammation, these bacteria alter the intestinal environment and use unique systems for respiration and metal acquisition to drive their expansion. Unravelling the interactions between the microbiota, the host and pathogenic bacteria will produce strategies for manipulating the microbiota against infectious diseases.

Indexed as

Gastrointestinal MicrobiomeMicrobial InteractionsAnimalsAnti-Bacterial AgentsBacteriaBacterial InfectionsCarbonDisease ResistanceHumansInflammationIntestinal MucosaIntestinesNitrogenSignal TransductionVirulenceAnti-Bacterial AgentsCarbonNitrogen

Identifiers

PMID27383983
PMCPMC5114849
OpenAlexW2463118776

What OpenQuestion holds

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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.