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Record W4388460466 · doi:10.1016/j.heliyon.2023.e22109

Multidrug-resistant Escherichia coli isolated from patients and surrounding hospital environments in Bangladesh: A molecular approach for the determination of pathogenicity and resistance

2023· article· en· W4388460466 on OpenAlexaff
Md. Moniruzzaman, Mohammed Tanveer Hussain, Sobur Ali, M A Hossain, Md. Sakib Hossain, Mohammad Atique Ul Alam, Faisal Chowdhury Galib, Md. Tamzid Islam, Partha Paul, Md Shafiqul Islam, Mahbubul H. Siddiqee, Dinesh Mondal, Shahana Parveen, Zahid Hayat Mahmud

Bibliographic record

VenueHeliyon · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of Manitoba
FundersCenters for Disease Control and PreventionInternational Centre for Diarrhoeal Disease Research, Bangladesh
KeywordsVirulenceMicrobiologyBiofilmEscherichia coliBiologyMultiple drug resistanceDrug resistanceAntibioticsAntibiotic resistanceGenePhylogenetic treeBacteriaGenetics

Abstract

fetched live from OpenAlex

Extended spectrum β-lactamase producing Escherichia coli (ESBL E. coli ) is a primary concern for hospital and community healthcare settings, often linked to an increased incidence of nosocomial infections. This study investigated the characteristics of ESBL E. coli isolated from hospital environments and clinical samples. In total, 117 ESBL E. coli isolates were obtained. The isolates were subjected to molecular analysis for the presence of resistance and virulence genes, antibiotic susceptibility testing, quantitative adherence assay, ERIC-PCR for phylogenetic analysis and whole genome sequencing of four highly drug resistant isolates. Out of the 117 isolates, 68.4 % were positive for bla CTX-M , 39.3 % for bla TEM , 30.8 % for bla NDM-1 , 13.7 % for bla OXA and 1.7 % for bla SHV gene. Upon screening for diarrheagenic genes, no isolates were found to harbour any of the tested genes. In the case of extraintestinal pathogenic E. coli (ExPEC) virulence factors, 7.6 %, 11 %, 5.9 %, 4.3 % and 21.2 % of isolates harbored the focG, kpsMII, sfaS, afa and iutA genes, respectively. At a temperature of 25 °C, 14.5 % of isolates exhibited strong biofilm formation with 21.4 % and 28.2 % exhibiting moderate and weak biofilm formation respectively, whereas 35.9 % were non-biofilm formers. On the other hand at 37 °C, 2.6 % of isolates showed strong biofilm formation with 3.4 % and 31.6 % showing moderate and weak biofilm formation respectively, whereas, 62.4 % were non-biofilm formers. Regarding antibiotic susceptibility testing, all isolates were found to be multi-drug resistant (MDR), with 30 isolates being highly drug resistant. ERIC-PCR resulted in 12 clusters, with cluster E−10 containing the maximum number of isolates. Hierarchical clustering and correlation analysis revealed associations between environmental and clinical isolates, indicating likely transmission and dissemination from the hospital environment to the patients. The whole genome sequencing of four highly drug resistant ExPEC isolates showed the presence of various antimicrobial resistance genes, virulence factors and mobile genetic elements, with isolates harbouring the plasmid incompatibility group IncF (FII, FIB, FIA). The sequenced isolates were identified as human pathogens with a 93.3 % average score. This study suggests that ESBL producing E. coli are prevalent in the healthcare settings of Bangladesh, acting as a potential reservoir for AMR bacteria. This information may have a profound effect on treatment, and improvements in public healthcare policies are a necessity to combat the increased incidences of hospital-acquired infections in the country.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.820
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.221
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2023
Admission routes1
Has abstractyes

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