Evidence map›Paper›PMID 38671498›Full record

ArticleBMC medical genomics2024

Short reads-based characterization of pathotype diversity and drug resistance among Escherichia coli isolated from patients attending regional referral hospitals in Tanzania.

Livin E Kanje, Happiness Kumburu, Davis Kuchaka, Mariana Shayo, Masoud A Juma, Patrick Kimu, Melkiory Beti, Marco van Zwetselaar, Boaz Wadugu, Blandina T Mmbaga and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

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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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. EnteroaggregativeEcoSal Plus · 2025
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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

12 authors at 2 institutions in 1 country.

Livin E Kanje *Department of Microbiology and Immunology, Kilimanjaro Christian Medical University College, Kilimanjaro, Tanzania. kanjelivin@gmail.com.
Happiness Kumburu *Department of Microbiology and Immunology, Kilimanjaro Christian Medical University College, Kilimanjaro, Tanzania.
Davis KuchakaKilimanjaro Clinical Research Institute, Kilimanjaro, Tanzania.
Mariana ShayoKilimanjaro Clinical Research Institute, Kilimanjaro, Tanzania.
Masoud A JumaDepartment of Microbiology and Immunology, Kilimanjaro Christian Medical University College, Kilimanjaro, Tanzania.
Patrick KimuKilimanjaro Clinical Research Institute, Kilimanjaro, Tanzania.
Melkiory BetiKilimanjaro Clinical Research Institute, Kilimanjaro, Tanzania.
Marco van ZwetselaarKilimanjaro Clinical Research Institute, Kilimanjaro, Tanzania.
Boaz WaduguDepartment of Microbiology and Immunology, Kilimanjaro Christian Medical University College, Kilimanjaro, Tanzania.
Blandina T MmbagaDepartment of Microbiology and Immunology, Kilimanjaro Christian Medical University College, Kilimanjaro, Tanzania.
Sixbert Isdory MkumbayeDepartment of Microbiology and Immunology, Kilimanjaro Christian Medical University College, Kilimanjaro, Tanzania.
Tolbert SondaDepartment of Microbiology and Immunology, Kilimanjaro Christian Medical University College, Kilimanjaro, Tanzania.
Kilimanjaro Christian Medical Centre · TZState University of Zanzibar · TZ

Funding

SeqAfrica project under the Department of Health and Social Care's Fleming Fund using UK aid. FF25-286
6 · The paper itself

Abstract

backgroundEscherichia coli is known to cause about 2 million deaths annually of which diarrhea infection is leading and typically occurs in children under 5 years old. Although Africa is the most affected region there is little information on their pathotypes diversity and their antimicrobial resistance.

objectiveTo determine the pathotype diversity and antimicrobial resistance among E. coli from patients attending regional referral hospitals in Tanzania. MATERIALS AND

methodsA retrospective cross-section laboratory-based study where a total of 138 archived E. coli isolates collected from 2020 to 2021 from selected regional referral hospitals in Tanzania were sequenced using the Illumina Nextseq550 sequencer platform. Analysis of the sequences was done in the CGE tool for the identification of resistance genes and virulence genes. SPSS version 20 was used to summarize data using frequency and proportion.

resultsAmong all 138 sequenced E. coli isolates, the most prevalent observed pathotype virulence genes were of extraintestinal E. coli UPEC fyuA gene 82.6% (114/138) and NMEC irp gene 81.9% (113/138). Most of the E. coli pathotypes observed exist as a hybrid due to gene overlapping, the most prevalent pathotypes observed were NMEC/UPEC hybrid 29.7% (41/138), NMEC/UPEC/EAEC hybrid 26.1% (36/138), NMEC/UPEC/DAEC hybrid 18.1% (25/138) and EAEC 15.2% (21/138). Overall most E. coli carried resistance gene to ampicillin 90.6% (125/138), trimethoprim 85.5% (118/138), tetracycline 79.9% (110/138), ciprofloxacin 76.1% (105/138) and 72.5% (100/138) Nalidixic acid. Hybrid pathotypes were more resistant than non-hybrid pathotypes.

conclusionWhole genome sequencing reveals the presence of hybrid pathotypes with increased drug resistance among E. coli isolated from regional referral hospitals in Tanzania.

Indexed as

Escherichia coliEscherichia coli InfectionsAnti-Bacterial AgentsDrug Resistance, BacterialHumansMicrobial Sensitivity TestsReferral and ConsultationRetrospective StudiesTanzaniaVirulence FactorsAnti-Bacterial AgentsVirulence FactorsDiversityDrug resistanceE. ColiPathotypes

Identifiers

PMID38671498
PMCPMC11055328
OpenAlexW4395675856

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.