Evidence map›Paper›PMID 29791507›Full record

ArticlePLoS pathogens2018

A novel mouse model of Campylobacter jejuni enteropathy and diarrhea.

Natasa Giallourou, Gregory L Medlock, David T Bolick, Pedro Hqs Medeiros, Solanka E Ledwaba, Glynis L Kolling, Kenneth Tung, Patricia Guerry, Jonathan R Swann, Richard L Guerrant

Open access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
9.6field-weighted citation impact, top 2% 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.

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

51 citing papers in PubMed, 64 citations in OpenAlex.

  1. Microbiota-derived indole limitsScience advances · 2026
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  16. Bacterial chemotaxis in human diseases.Trends in microbiology · 2023
    Review
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  18. Molecular Targets inBiomolecules · 2023
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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

10 authors at 5 institutions in 4 countries.

Natasa GiallourouDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College, London, United Kingdom.ORCID 0000-0001-5081-7367
Gregory L MedlockDepartment of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, VA, United States of America.ORCID 0000-0002-1571-0801
David T BolickDivision of Infectious Disease and International Health, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, United States of America.ORCID 0000-0001-9281-085X
Pedro Hqs MedeirosInstitute of Biomedicine, Federal University of Ceara, Fortaleza, CE, Brazil.
Solanka E LedwabaDepartment of Microbiology, University of Venda, Thohoyandou, Limpopo, South Africa.ORCID 0000-0002-9426-0131
Glynis L KollingDivision of Infectious Disease and International Health, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, United States of America.ORCID 0000-0001-8871-8129
Kenneth TungDepartment of Pathology, University of Virginia School of Medicine, Charlottesville, VA, United States of America.ORCID 0000-0002-9393-0084
Patricia GuerryEnteric Diseases Department, Naval Medical Research Center, Silver Spring, MD, United States of America.
Jonathan R SwannDivision of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College, London, United Kingdom.ORCID 0000-0002-6485-4529
Richard L GuerrantDivision of Infectious Disease and International Health, Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, United States of America.
University of Virginia · USImperial College London · GBNaval Medical Research Command · USUniversidade Federal do Ceará · BRUniversity of Venda · ZA

Funding

Shigella Live Vector-Based Multivalent VaccineU19AI109776 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI BARRY, EILEEN M. · 2014 to 2018
$25.4M
Global Infectious Disease Research Training Program at UVAD43TW006578 · FIC · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI GUERRANT, RICHARD L · 2003 to 2018
$2.7M
Mapping and predicting metabolic fluxes between the ileal microbiome and hostR01GM108501 · NIGMS · UNIVERSITY OF VIRGINIA · PI PAPIN, JASON · 2014 to 2017
$1.4M
Transdisciplinary Big Data Science Training at UVaT32LM012416 · NLM · UNIVERSITY OF VIRGINIA · PI BROWN, DONALD E, LOUGHRAN, THOMAS P. · 2016 to 2020
$1.3M
FIC NIH HHS D43 TW006578NIAID NIH HHS U19 AI109776NIGMS NIH HHS R01 GM108501NIH HHS U19 AI109776NLM NIH HHS T32 LM012416
6 · The paper itself

Abstract

Campylobacter infections are among the leading bacterial causes of diarrhea and of 'environmental enteropathy' (EE) and growth failure worldwide. However, the lack of an inexpensive small animal model of enteric disease with Campylobacter has been a major limitation for understanding its pathogenesis, interventions or vaccine development. We describe a robust standard mouse model that can exhibit reproducible bloody diarrhea or growth failure, depending on the zinc or protein deficient diet and on antibiotic alteration of normal microbiota prior to infection. Zinc deficiency and the use of antibiotics create a niche for Campylobacter infection to establish by narrowing the metabolic flexibility of these mice for pathogen clearance and by promoting intestinal and systemic inflammation. Several biomarkers and intestinal pathology in this model also mimic those seen in human disease. This model provides a novel tool to test specific hypotheses regarding disease pathogenesis as well as vaccine development that is currently in progress.

Indexed as

Disease Models, AnimalAnimalsBiomarkersCampylobacter InfectionsCampylobacter jejuniDiarrheaInflammationIntestinal DiseasesMaleMiceMice, Inbred C57BLBiomarkers

Identifiers

PMID29791507
PMCPMC5988333
OpenAlexW2949659481

What OpenQuestion holds

Textmetadata
LicenceCC0
Read underepoch 390

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.