Evidence map›Paper›PMID 24858089›Full record

ArticleApplied and environmental microbiology2014

Genetic diversity and virulence potential of shiga toxin-producing Escherichia coli O113:H21 strains isolated from clinical, environmental, and food sources.

Peter C H Feng, Sabine Delannoy, David W Lacher, Luis Fernando Dos Santos, Lothar Beutin, Patrick Fach, Marta Rivas, Elizabeth L Hartland, Adrienne W Paton, Beatriz E C Guth

Open access · bronzeAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

25 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
  2. Article
  3. Molecular serotyping of Shiga toxin-producingVeterinary research forum : an international quarterly journal · 2023
    Article
  4. Prevalence and Implications of Shiga Toxin-ProducingPathogens (Basel, Switzerland) · 2022
    Review
  5. Article
  6. Article
  7. Genomic Epidemiology of Shiga Toxin-ProducingAnimals : an open access journal from MDPI · 2021
    Article
  8. Article
  9. Interactions of Shiga toxin-producing Escherichia coli with leafy green vegetables.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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 7 institutions in 6 countries.

Peter C H FengDivision of Microbiology, Food and Drug Administration, College Park, Maryland, USA peter.feng@fda.hhs.gov.
Sabine DelannoyLaboratory for Food Safety, French Agency for Food, Environmental, and Occupational Health and Safety, Maisons-Alfort, France.
David W LacherDivision of Molecular Biology, Food and Drug Administration, Laurel, Maryland, USA.
Luis Fernando Dos SantosDepartment of Microbiology, Immunology and Parasitology, Universidade Federal de São Paulo, São Paulo, Brazil.
Lothar BeutinNational Reference Laboratory for Escherichia coli, Federal Institute for Risk Assessment, Berlin, Germany.
Patrick FachLaboratory for Food Safety, French Agency for Food, Environmental, and Occupational Health and Safety, Maisons-Alfort, France.
Marta RivasServicio Fisiopatogenia, Instituto Nacional de Enfermedades Infecciosas-ANLIS "Dr. Carlos G. Malbrán," Buenos Aires, Argentina.
Elizabeth L HartlandDepartment of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia.
Adrienne W PatonResearch Centre for Infectious Diseases, School of Molecular and Biomedical Science, University of Adelaide, Adelaide, Australia.
Beatriz E C GuthDepartment of Microbiology, Immunology and Parasitology, Universidade Federal de São Paulo, São Paulo, Brazil.
Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail · FRUnited States Food and Drug Administration · USUniversidade Federal de São Paulo · BRAdministración Nacional de Laboratorios e Institutos de Salud · ARFederal Institute for Risk Assessment · DEThe University of Adelaide · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shiga toxin-producing Escherichia coli strains of serotype O113:H21 have caused severe human diseases, but they are unusual in that they do not produce adherence factors coded by the locus of enterocyte effacement. Here, a PCR microarray was used to characterize 65 O113:H21 strains isolated from the environment, food, and clinical infections from various countries. In comparison to the pathogenic strains that were implicated in hemolytic-uremic syndrome in Australia, there were no clear differences between the pathogens and the environmental strains with respect to the 41 genetic markers tested. Furthermore, all of the strains carried only Shiga toxin subtypes associated with human infections, suggesting that the environmental strains have the potential to cause disease. Most of the O113:H21 strains were closely related and belonged in the same clonal group (ST-223), but CRISPR analysis showed a great degree of genetic diversity among the O113:H21 strains.

Indexed as

Environmental MicrobiologyGenetic VariationAnimalsCattleDogsEscherichia coli InfectionsEscherichia coli ProteinsFecesFood MicrobiologyGoatsHumansMeatMolecular Sequence DataPhylogenyShiga-Toxigenic Escherichia coliShiga ToxinEscherichia coli ProteinsShiga ToxinVirulence Factors

Identifiers

PMID24858089
PMCPMC4148811
OpenAlexW2063113722

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.