Evidence map›Paper›PMID 40985147›Full record

ArticleThe Journal of antimicrobial chemotherapy2025

Phenotype-genotype discordance in antimicrobial resistance profiles of Gram-negative uropathogens recovered from catheter-associated urinary tract infections in Egypt.

Mohamed Eladawy, Nathan Heslop, David Negus, Jonathan C Thomas, Lesley Hoyles

Abstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  8. Longitudinal genomic insights into resistance and virulence dynamics of Klebsiella pneumoniae clinical isolates from Pakistan.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Phenotypic and genome-based characterization ofFrontiers in microbiology · 2026
    Article
  13. Article
  14. Prevalence of ESBL-ProducingPathogens (Basel, Switzerland) · 2025
    Article
  15. 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

5 authors.

Mohamed EladawyDepartment of Microbiology and Immunology, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt.ORCID 0000-0003-0200-0752
Nathan HeslopDepartment of Biosciences, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK.ORCID 0009-0005-4369-2005
David NegusDepartment of Biosciences, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK.ORCID 0000-0001-9047-4565
Jonathan C ThomasDepartment of Biosciences, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK.ORCID 0000-0002-1599-9123
Lesley HoylesDepartment of Biosciences, School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK.ORCID 0000-0002-6418-342X

Funding

Egyptian Bureau for Cultural & Educational AffairsEgyptian Ministry of Higher Education & Scientific ResearchNottingham Trent University
6 · The paper itself

Abstract

objectivesCatheter-associated urinary tract infections (CAUTIs) are among the most common healthcare-associated infections in low- and middle-income countries (LMICs), but there are few resistome data available for relevant uropathogens. The goal of this study was to characterize the antimicrobial resistance (AMR) phenotypes and genotypes of a large collection of Gram-negative bacteria recovered from CAUTIs in a hospital in Mansoura, Egypt.

methodsPhenotypic AMR profiles and whole-genome sequence data were generated for 132 isolates. Resistomes were predicted using ResFinder, CARD and AMRFinder. Similarity of uropathogen genomic data was determined using sourmash (kmer signatures). Escherichia coli genomic data were subject to a pangenome analysis using Panaroo.

resultsSixty-seven E. coli (Phylogroup B2; 53.7%, 36/67), 14 Pseudomonas aeruginosa, 11 Klebsiella pneumoniae, 9 Proteus mirabilis, 8 Providencia spp., 5 Enterobacter hormaechei and 18 rare CAUTI-associated isolates were identified. Several (22/132) isolates were multidrug-resistant, while almost half (62/132) were extensively drug-resistant. Phenotype-genotype discordance was found to be an important consideration in resistome studies in Egypt, with a total concordance of 91% (1115/1225), 85.7% (1273/1485) and 80.5% (1196/1485) for ResFinder, CARD and AMRFinder, respectively. Pseudomonas, at the species level, exhibited the greatest discordance. At the antimicrobial level, meropenem was subject to greatest discordance. New AMR variants were found for Egypt for Pseudomonas (blaOXA-486, blaOXA-488, blaOXA-905, blaIMP-43, blaPDC-35, blaPDC-45, blaPDC-201) and E. coli (blaTEM-176, blaTEM-190).

conclusionsThis study shows that there is phenotype-genotype discordance in AMR profiling among CAUTI isolates, highlighting the need for comprehensive approaches in resistome studies. We also show the genomic diversity of Gram-negative uropathogens contributing to disease burden in a little-studied LMIC setting.

Indexed as

Anti-Bacterial AgentsCatheter-Related InfectionsDrug Resistance, BacterialGenotypeGram-Negative BacteriaGram-Negative Bacterial InfectionsUrinary Tract InfectionsDrug Resistance, Multiple, BacterialEgyptGenome, BacterialHumansMicrobial Sensitivity TestsPhenotypeWhole Genome SequencingAnti-Bacterial Agents

Identifiers

PMID40985147
PMCPMC12596052

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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.