Evidence map›Paper›PMID 39574016›Full record

ArticleBMC microbiology2024

Characterization of non-O157 enterohemorrhagic Escherichia coli isolated from different sources in Egypt.

Omnia T Bahgat, Dina E Rizk, Hany I Kenawy, Rasha Barwa

Abstract read
In one paragraph

Article in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Water and food contamination withJournal of water and health · 2026
    Article
  4. Article
  5. EnteroaggregativeFrontiers in microbiology · 2025
    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

4 authors.

Omnia T BahgatMicrobiology and Immunology Department, Faculty of Pharmacy, Mansoura University, Mansoura, 35516, Egypt.
Dina E RizkMicrobiology and Immunology Department, Faculty of Pharmacy, Mansoura University, Mansoura, 35516, Egypt. dena@mans.edu.eg.ORCID 0000-0003-1609-1878
Hany I KenawyMicrobiology and Immunology Department, Faculty of Pharmacy, Mansoura University, Mansoura, 35516, Egypt.ORCID 0000-0002-8548-6649
Rasha BarwaMicrobiology and Immunology Department, Faculty of Pharmacy, Mansoura University, Mansoura, 35516, Egypt.ORCID 0000-0003-3130-3576

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnterohemorrhagic Escherichia coli (EHEC) O157 is implicated in serious food and water-borne diseases as hemorrhagic colitis (HC), and the potentially fatal hemolytic uremic syndrome (HUS). However, new players of non-O157 EHEC have been implicated in serious infections worldwide. This work aims at analyzing serotype and genotypic-based virulence profile of EHEC local isolates.

methodsA total of 335 samples were collected from different sources in Egypt. E. coli was isolated and subjected to serotyping. Non-O157 EHEC isolates were tested for virulence genes using PCR, phenotypic examination, phylogenetic typing, and molecular investigation by ERIC typing and MLST to disclose genetic relatedness of isolates. A heat map was used to identify potential associations between the origin of the isolates, their phenotypic and genotypic characteristics.

resultsA total of 105 out of 335 isolates were identified as E. coli. Surprisingly, 49.5% of these isolates were EHEC, where O111, O91, O26 and O55 were the most prevalent serotypes including 38.46% from stool, 21.15% urine, 23.1% cheese, 9.62% meat products, 3.85% from both yogurt and sewage water. Screening 15 different virulence genes revealed that sheA, stx2 and eae were the most prevalent with abundance rates of 85%, 75% and 36%, respectively. Fifteen profiles of virulence gene association were identified, where the most abundant one was stx2/sheA (19%) followed by stx2/stx2g/sheA/eae (11.5%). Both stx2/sheA/eae and stx2/stx2g/sheA were equally distributed in 9.6% of total isolates. Phylogenetic typing revealed that pathogenic phylogroups B2 and D were detected among clinical isolates only. Forty-six different patterns were detected by ERIC genotyping. MLST resolved three sequence types of ST70, ST120 and ST394. The heat map showed that 21 isolates were of 70% similarity, 9 groups were of 100% clonality.

conclusionsThe prevalence of non-O157 EHEC pathotype was marginally higher among the food isolates compared to the clinical ones. The endemic ST120 was detected in cheese, necessitating crucial measures to prevent the spread of this clone. Clinical EHEC isolates exhibited a higher score, and combination of virulence genes compared to food and sewage water isolates, thereby posing a significant public health concern.

Indexed as

Enterohemorrhagic Escherichia coliEscherichia coli InfectionsGenotypeMultilocus Sequence TypingPhylogenySerogroupVirulence FactorsAnimalsCattleChickensDairy ProductsEgyptEscherichia coli ProteinsFecesFishesFood MicrobiologyEscherichia coli ProteinsSewageVirulence FactorsBiofilmIntiminNon O157 EHEC- ERICSerum resistanceShiga toxin

Identifiers

PMID39574016
PMCPMC11580514

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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.