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Record W4414059104 · doi:10.1002/vms3.70576

Prevalence and Antimicrobial Resistance Patterns of <i>Escherichia coli</i> Isolated From Broiler Chickens in Sylhet District of Bangladesh

2025· article· en· W4414059104 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueVeterinary Medicine and Science · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAntibiotic Resistance in Bacteria
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsCloxacillinAntibiotic resistanceBroilerTetracyclineMultiple drug resistanceErythromycinAntibiotics

Abstract

fetched live from OpenAlex

The emergence of antimicrobial resistance (AMR) Escherichia coli in poultry farming is a growing global public health concern, particularly in Bangladesh, where the use of antibiotics remains largely unregulated. This study aimed to determine the prevalence and AMR patterns of E. coli isolated from broiler chickens in Sylhet district of Bangladesh and to investigate the network of coexisting resistance traits among the isolates. A total of 130 samples (44 cloacal, 46 faecal, 21 liver and 19 intestinal) were collected from live and dead broiler chickens in the Sylhet district of Bangladesh from July 2020 to June 2021. E. coli was detected in 77.7% of samples by standard cultural and biochemical tests, with 65.4% confirmed by polymerase chain reaction (PCR) targeting the malB gene. Antibiotic susceptibility testing revealed complete (100%) resistance to tetracycline (TE), cloxacillin (CLOX) and co-trimoxazole (COT), with 91.8% resistance to erythromycin (E). Gentamicin (GEN) exhibited intermediate resistance (69.4%), whereas azithromycin (AZM) was the most sensitive, with 58.8% of the isolates demonstrating susceptibility. Faecal samples had the highest E. coli prevalence (84.8%), and liver samples had the lowest (66.7%). All isolates demonstrated multidrug resistance (MDR) in different combinations, with over one-third exhibiting resistance to six or more antibiotics. The coexistence network revealed that resistance to TE, CLOX and COT frequently occurred together, whereas GEN exhibited a distinct resistance pattern characterized by limited co-resistance with other antibiotics. The findings of this study extend beyond local concerns, carrying global implications for food safety, and emphasize the urgent need for stricter antibiotic regulations to mitigate the zoonotic transmission of MDR E. coli to humans. SUMMARY: The study reported a 77.7% prevalence of Escherichia coli in broiler chickens in Sylhet, Bangladesh with alarming resistance patterns, including complete (100%) resistance to several antibiotics (tetracycline, cloxacillin and co-trimoxazole), underscoring an urgent public health concern. The results revealed critical resistance trends, showing that several antibiotics are losing their effectiveness, which could threaten sustainable poultry farming and food safety. The correlation and coexistence network analysis identified frequent resistance linkages among specific antibiotics, suggesting shared pathways that could drive co-selection in resistant E. coli populations. The study emphasizes the pressing need for stricter antibiotic regulations, enhanced AMR surveillance and improved biosecurity measures to mitigate the spread of multidrug-resistant E. coli, with implications for both human and animal health.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.751
Threshold uncertainty score0.390

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 studies0.0000.001
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 head0.012
GPT teacher head0.265
Teacher spread0.253 · 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