Evidence map›Paper›PMID 28587697›Full record

ArticleEpidemiology and infection2017

ppGpp and cytotoxicity diversity in Shiga toxin-producing Escherichia coli (STEC) isolates.

A E Stella, D Luz, R M F Piazza, B Spira

Erratum issuedAbstract read
In one paragraph

Article in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Diversity inFrontiers in microbiology · 2020
    Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

A E StellaUniversidade Federal de Goiás,Regional Jataí,Goiás,Brazil.
D LuzInstituto Butantan, Laboratório de Bacteriologia,Av. Vital Brasil, 1500,Butantã,São Paulo,São Paulo,Brazil.
R M F PiazzaInstituto Butantan, Laboratório de Bacteriologia,Av. Vital Brasil, 1500,Butantã,São Paulo,São Paulo,Brazil.
B SpiraDepartamento de Microbiologia,Instituto de Ciências Biomédicas Universidade de São Paulo,São Paulo-SP,Brazil.ORCID 0000-0001-5394-9074

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shiga toxin-producing Escherichia coli (STEC) is a known food pathogen, which main reservoir is the intestine of ruminants. The abundance of different STEC lineages in nature reflect a heterogeneity that is characterised by the differential expression of certain genotypic characteristics, which in turn are influenced by the environmental conditions to which the microorganism is exposed. Bacterial homeostasis and stress response are under the control of the alarmone guanosine tetraphosphate (ppGpp), which intrinsic levels varies across the E. coli species. In the present study, 50 STEC isolates from healthy sheep were evaluated regarding their ppGpp content, cytotoxicity and other relevant genetic and phenotypic characteristics. We found that the level of ppGpp and cytotoxicity varied considerably among the examined strains. Isolates that harboured the stx2 gene were the least cytotoxic and presented the highest levels of ppGpp. All stx2 isolates belonged to phylogroup A, while strains that carried stx1 or both stx1 and stx2 genes pertained to phylogroup B1. All but two stx2 isolates belonged to the stx2b subtype. Strains that belonged to phylogroup B1 displayed on average low levels of ppGpp and high cytotoxicity. Overall, there was a negative correlation between cytotoxicity and ppGpp.

Indexed as

AnimalsDisease ReservoirsEscherichia coli InfectionsGenetic VariationGuanosine PentaphosphateGuanosine TetraphosphateSheepSheep DiseasesShiga-Toxigenic Escherichia coliShiga Toxin 2Virulence FactorsGuanosine PentaphosphateGuanosine TetraphosphateShiga Toxin 2Virulence FactorsCytotoxicityppGppShiga toxinSTEC

Identifiers

PMID28587697
PMCPMC9148826

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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.