Evidence map›Paper›PMID 23041631›Full record

ArticleThe Journal of clinical investigation2012

A novel murine infection model for Shiga toxin-producing Escherichia coli.

Emily M Mallick, Megan E McBee, Vijay K Vanguri, Angela R Melton-Celsa, Katherine Schlieper, Brad J Karalius, Alison D O'Brien, Joan R Butterton, John M Leong, David B Schauer

Abstract read
In one paragraph

Article in The Journal of clinical investigation, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

67 citing papers in PubMed, 89 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. EnterohemorrhagicMicrobiology spectrum · 2024
    Article
  9. Review
  10. Article
  11. PNAS nexus · 2024
    Article
  12. bioRxiv : the preprint server for biology · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  18. Article
  19. Article
  20. Article

7 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

10 authors at 3 institutions in 1 country.

Emily M MallickDepartment of Microbiology and Physiological Systems, University of Massachusetts Medical School, Worcester, Massachusetts, USA.
Megan E McBee
Vijay K Vanguri
Angela R Melton-Celsa
Katherine Schlieper
Brad J Karalius
Alison D O'Brien
Joan R Butterton
John M Leong
David B Schauer
Massachusetts Institute of Technology · USUniversity of Massachusetts Chan Medical School · USUniformed Services University of the Health Sciences · US

Funding

Reaction and Diffusion of NO in Biological SystemsP01CA026731 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI TANNENBAUM, STEVEN R · 1985 to 2018
$25.4M
HOST CELL SIGNALING BY EHEC INTIMIN PROTEINR01AI046454 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEONG, JOHN M · 2000 to 2014
$7.4M
Pathogenicity of Shiga Toxin Producing E.coliR37AI020148 · NIAID · HENRY M. JACKSON FDN FOR THE ADV MIL/MED · PI O'BRIEN, ALISON DAVIS · 2008 to 2016
$3.8M
TRIAL OF ANTI-TNF ALPHA IN ISLET TRANSPLANTATIONR01DK059101 · NIDDK · UNIVERSITY OF ALBERTA · PI SHAPIRO, ANDREW M · 2000 to 2002
$1.7M
0157:H7 INTIMIN AND STX--PATHOGENESIS IN A MOUSE MODELR01AI049842 · NIAID · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI SCHAUER, DAVID B · 2000 to 2003
$1.3M
EHEC-induced actin rearrangement and Stx2 translocation across epitheliumR21AI092009 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LEONG, JOHN M · 2011 to 2012
$453k
NCI NIH HHS 026731 PHS P01CA026731NCI NIH HHS P01 CA026731NIAID NIH HHS R01 AI046454NIAID NIH HHS R01 AI049842NIAID NIH HHS R01 AI46454NIAID NIH HHS R21 AI092009NIAID NIH HHS R21 AI92009NIAID NIH HHS R37 AI020148NIAID NIH HHS R37 AI20148NIDDK NIH HHS R01 DK059101NIDDK NIH HHS R01 DK59101PHS HHS R01 049842
6 · The paper itself

Abstract

Enterohemorrhagic E. coli (EHEC) is an important subset of Shiga toxin-producing (Stx-producing) E. coli (STEC), pathogens that have been implicated in outbreaks of food-borne illness and can cause intestinal and systemic disease, including severe renal damage. Upon attachment to intestinal epithelium, EHEC generates "attaching and effacing" (AE) lesions characterized by intimate attachment and actin rearrangement upon host cell binding. Stx produced in the gut transverses the intestinal epithelium, causing vascular damage that leads to systemic disease. Models of EHEC infection in conventional mice do not manifest key features of disease, such as AE lesions, intestinal damage, and systemic illness. In order to develop an infection model that better reflects the pathogenesis of this subset of STEC, we constructed an Stx-producing strain of Citrobacter rodentium, a murine AE pathogen that otherwise lacks Stx. Mice infected with Stx-producing C. rodentium developed AE lesions on the intestinal epithelium and Stx-dependent intestinal inflammatory damage. Further, the mice experienced lethal infection characterized by histopathological and functional kidney damage. The development of a murine model that encompasses AE lesion formation and Stx-mediated tissue damage will provide a new platform upon which to identify EHEC alterations of host epithelium that contribute to systemic disease.

Indexed as

Citrobacter rodentiumEnterohemorrhagic Escherichia coliEscherichia coli InfectionsHemolytic-Uremic SyndromeIntestinal MucosaShiga ToxinAnimalsBacterial AdhesionBase SequenceDisease Models, AnimalFemaleMaleMiceMolecular Sequence DataShiga Toxin

Identifiers

PMID23041631
PMCPMC3484439
OpenAlexW2169963912

What OpenQuestion holds

Textmetadata
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.