Evidence map›Paper›PMID 25789994›Full record

ArticlePloS one2015

Molecular hazard identification of non-O157 Shiga toxin-producing Escherichia coli (STEC).

Eelco Franz, Angela H A M van Hoek, Mark Wuite, Fimme J van der Wal, Albert G de Boer, E I Bouw, Henk J M Aarts

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
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

24 citing papers in PubMed.

  1. Shiga Toxin-ProducingAntibiotics (Basel, Switzerland) · 2026
    Review
  2. Genotypic Profiling of Virulence and Antibiotic Resistance Genes ofInternational journal of microbiology · 2026
    Article
  3. Article
  4. The Influence ofIndian journal of microbiology · 2024
    Article
  5. Hybrid genome assemblies of four Shiga toxin-producingMicrobiology resource announcements · 2023
    Article
  6. Article
  7. Transforming Shiga toxin-producingFrontiers in microbiology · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Serogroups, subtypes and virulence factors of shiga toxin-producingGastroenterology and hepatology from bed to bench · 2018
    Article
  19. Article
  20. Article
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

7 authors.

Eelco FranzNational Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control, Bilthoven, the Netherlands.
Angela H A M van HoekNational Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control, Bilthoven, the Netherlands.
Mark WuiteNational Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control, Bilthoven, the Netherlands.
Fimme J van der WalCentral Veterinary Institute, Wageningen University & Research Centre, Lelystad, the Netherlands.
Albert G de BoerCentral Veterinary Institute, Wageningen University & Research Centre, Lelystad, the Netherlands.
E I BouwNational Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control, Bilthoven, the Netherlands.
Henk J M AartsNational Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control, Bilthoven, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complexity regarding Shiga toxin-producing Escherichia coli (STEC) in food safety enforcement as well as clinical care primarily relates to the current inability of an accurate risk assessment of individual strains due to the large variety in serotype and genetic content associated with (severe) disease. In order to classify the clinical and/or epidemic potential of a STEC isolate at an early stage it is crucial to identify virulence characteristics of putative pathogens from genomic information, which is referred to as 'predictive hazard identification'. This study aimed at identifying associations between virulence factors, phylogenetic groups, isolation sources and seropathotypes. Most non-O157 STEC in the Netherlands belong to phylogroup B1 and are characterized by the presence of ehxA, iha and stx2, but absence of eae. The large variability in the number of virulence factors present among serogroups and seropathotypes demonstrated that this was merely indicative for the virulence potential. While all the virulence gene associations have been worked out, it appeared that there is no specific pattern that would unambiguously enable hazard identification for an STEC strain. However, the strong correlations between virulence factors indicate that these arrays are not a random collection but are rather specific sets. Especially the presence of eae was strongly correlated to the presence of many of the other virulence genes, including all non-LEE encoded effectors. Different stx-subtypes were associated with different virulence profiles. The factors ehxA and ureC were significantly associated with HUS-associated strains (HAS) and not correlated to the presence of eae. This indicates their candidacy as important pathogenicity markers next to eae and stx2a.

Indexed as

AnimalsBacterial ProteinsFood MicrobiologyHumansMutationPhylogenyShiga-Toxigenic Escherichia coliShiga ToxinsSigma FactorVirulence FactorsBacterial ProteinsShiga ToxinsSigma Factorsigma factor KatF protein, BacteriaVirulence Factors

Identifiers

PMID25789994
PMCPMC4366395

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.