Evidence map›Paper›PMID 39085804›Full record

ArticleBMC infectious diseases2024

Phenotypic and genotypic assessment of fluoroquinolones and aminoglycosides resistances in Pseudomonas aeruginosa collected from Minia hospitals, Egypt during COVID-19 pandemic.

Maria Refaat Boushra, Gamal Fadl Mahmoud Gad, Noha Anwar Hassuna, Nancy Gamil Fawzy Waly, Reham Ali Ibrahem

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Antibiotic resistance mechanisms and global resistance patterns of Pseudomonas aeruginosa in microbial keratitis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2026
    Review
  2. Article
  3. Antibiotics Resistance Profile of Clinical Isolates ofAntibiotics (Basel, Switzerland) · 2025
    Article
  4. Diversification ofMicroorganisms · 2025
    Article
  5. Review
  6. Article
  7. 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

5 authors.

Maria Refaat BoushraDepartment of Microbiology and Immunology, Faculty of Pharmacy, Minia University, Minia, Egypt.
Gamal Fadl Mahmoud GadDepartment of Microbiology and Immunology, Faculty of Pharmacy, Minia University, Minia, Egypt.
Noha Anwar HassunaDepartment of Medical Microbiology and Immunology, Faculty of Medicine, Minia University, Minia, Egypt.
Nancy Gamil Fawzy WalyDepartment of Microbiology and Immunology, Faculty of Pharmacy, Minia University, Minia, Egypt.
Reham Ali IbrahemDepartment of Microbiology and Immunology, Faculty of Pharmacy, Minia University, Minia, Egypt. reham.ali@mu.edu.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOne of the most prevalent bacteria that cause nosocomial infections is Pseudomonas aeruginosa. Fluoroquinolones (FQ) and aminoglycosides are vital antipseudomonal drugs, but resistance is increasingly prevalent. The study sought to investigate the diverse mechanisms underlying FQ and aminoglycoside resistance in various P. aeruginosa strains particularly during the COVID-19 crisis.

methodsFrom various clinical and environmental samples, 110 P. aeruginosa isolates were identified and their susceptibility to several antibiotic classes was evaluated. Molecular techniques were used to track target gene mutations, the presence of genes encoding for quinolone resistance, modifying enzymes for aminoglycosides and resistance methyltransferase (RMT). Efflux pump role was assessed phenotypically and genotypically. Random amplified polymorphic DNA (RAPD) analysis was used to measure clonal diversity.

resultsQnrS was the most frequently encountered quinolone resistance gene (37.5%) followed by qnrA (31.2%) and qnrD (25%). Among aminoglycoside resistant isolates, 94.1% harbored modifying enzymes genes, while RMT genes were found in 55.9% of isolates. The aac(6')-Ib and rmtB were the most prevalent genes (79.4% and 32.3%, respectively). Most FQ resistant isolates overexpressed mexA (87.5%). RAPD fingerprinting showed 63.2% polymorphism.

conclusionsAminoglycosides and FQ resistance observed in this study was attributed to several mechanisms with the potential for cross-contamination existence so, strict infection control practices are crucial.

Indexed as

AminoglycosidesAnti-Bacterial AgentsCOVID-19FluoroquinolonesGenotypeMicrobial Sensitivity TestsPhenotypePseudomonas aeruginosaPseudomonas InfectionsDrug Resistance, BacterialDrug Resistance, Multiple, BacterialEgyptHospitalsHumansPandemicsRandom Amplified Polymorphic DNA TechniqueAminoglycosidesAnti-Bacterial AgentsFluoroquinolonesAminoglycosides resistanceFluoroquinolones resistancePseudomonas aeruginosaRAPD typingReal-time PCR

Identifiers

PMID39085804
PMCPMC11292888

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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.