Evidence map›Paper›PMID 27821583›Full record

ArticleInfection and immunity2017

Model of Host-Pathogen Interaction Dynamics Links In Vivo Optical Imaging and Immune Responses.

Angelique Ale, Valerie F Crepin, James W Collins, Nicholas Constantinou, Maryam Habibzay, Ann C Babtie, Gad Frankel, Michael P H Stumpf

Open access · hybridAbstract read
In one paragraph

Article in Infection and immunity, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Angelique AleDepartment of Life Sciences, Centre for Integrative Systems Biology, Imperial College London, London, United Kingdom.
Valerie F CrepinDepartment of Life Sciences, Medical Research Council (MRC) Centre for Molecular Bacteriology and Infection, Imperial College London, London, United Kingdom.
James W CollinsDepartment of Life Sciences, Medical Research Council (MRC) Centre for Molecular Bacteriology and Infection, Imperial College London, London, United Kingdom.
Nicholas ConstantinouDepartment of Life Sciences, Medical Research Council (MRC) Centre for Molecular Bacteriology and Infection, Imperial College London, London, United Kingdom.
Maryam HabibzayDepartment of Life Sciences, Medical Research Council (MRC) Centre for Molecular Bacteriology and Infection, Imperial College London, London, United Kingdom.
Ann C BabtieDepartment of Life Sciences, Centre for Integrative Systems Biology, Imperial College London, London, United Kingdom.
Gad FrankelDepartment of Life Sciences, Medical Research Council (MRC) Centre for Molecular Bacteriology and Infection, Imperial College London, London, United Kingdom g.frankel@imperial.ac.uk m.stumpf@imperial.ac.uk.
Michael P H StumpfDepartment of Life Sciences, Centre for Integrative Systems Biology, Imperial College London, London, United Kingdom g.frankel@imperial.ac.uk m.stumpf@imperial.ac.uk.
Imperial College London · GBMedical Research Council · GB

Funding

Medical Research Council MR/K019007/1Medical Research Council MR/K022040/1
6 · The paper itself

Abstract

Tracking disease progression in vivo is essential for the development of treatments against bacterial infection. Optical imaging has become a central tool for in vivo tracking of bacterial population development and therapeutic response. For a precise understanding of in vivo imaging results in terms of disease mechanisms derived from detailed postmortem observations, however, a link between the two is needed. Here, we develop a model that provides that link for the investigation of Citrobacter rodentium infection, a mouse model for enteropathogenic Escherichia coli (EPEC). We connect in vivo disease progression of C57BL/6 mice infected with bioluminescent bacteria, imaged using optical tomography and X-ray computed tomography, to postmortem measurements of colonic immune cell infiltration. We use the model to explore changes to both the host immune response and the bacteria and to evaluate the response to antibiotic treatment. The developed model serves as a novel tool for the identification and development of new therapeutic interventions.

Indexed as

AnimalsAnti-Bacterial AgentsCitrobacter rodentiumColonDisease Models, AnimalEnterobacteriaceae InfectionsEnteropathogenic Escherichia coliEscherichia coli ProteinsFemaleHost-Pathogen InteractionsMiceMice, Inbred C57BLOptical ImagingTomography, X-Ray ComputedAnti-Bacterial AgentsEscherichia coli Proteinsantibiotic therapybioluminescent bacteriaCitrobacter rodentiumdynamic modelingespO mutantin vivo imaging

Identifiers

PMID27821583
PMCPMC5203651
OpenAlexW2551984681

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.