Evidence map›Paper›PMID 42275280›Full record

ArticlePloS one2026

Virulence determinants and toxin profile of methicillin resistant Staphylococcus aureus from commercial cheese in Bangladesh: A public health risk.

Muhammad Tafazzal Hossain, Fahmida Jahan Fahim, Sohel Rana, Nadia Sultana, Md Sodor Uddin, Md Nazim Uddin, Monira Noor, Amina Khatun, Kazi Mohammad Ali Zinnah, Anzuman Ara and 1 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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3 · Its place in the literature

Who cites it

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No citing paper in PubMed yet.

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

11 authors.

Muhammad Tafazzal HossainDepartment of Dairy Science, Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet, Bangladesh.
Fahmida Jahan FahimDepartment of Dairy Science, Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet, Bangladesh.ORCID https://orcid.org/0009-0006-9843-7033
Sohel RanaDepartment of Dairy Science, Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet, Bangladesh.
Nadia SultanaDepartment of Microbial Biotechnology, Faculty of Biotechnology and Genetic Engineering, Sylhet Agricultural University, Sylhet, Bangladesh.
Md Sodor UddinDepartment of Dairy Science, Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet, Bangladesh.
Md Nazim UddinDepartment of Livestock Production and Management, Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet, Bangladesh.
Monira NoorDepartment of Pathology, Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet, Bangladesh.
Amina KhatunDepartment Pathology, Faculty of Animal Science and Veterinary Medicine, Sher-e-Bangla Agricultural University, Sylhet, Bangladesh.ORCID https://orcid.org/0000-0002-8384-1854
Kazi Mohammad Ali ZinnahDepartment of Microbial Biotechnology, Faculty of Biotechnology and Genetic Engineering, Sylhet Agricultural University, Sylhet, Bangladesh.
Anzuman AraDepartment of Dairy Science, Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet, Bangladesh.
Ferdaus Mohd Altaf HossainDepartment of Dairy Science, Faculty of Veterinary, Animal and Biomedical Sciences, Sylhet Agricultural University, Sylhet, Bangladesh.ORCID https://orcid.org/0000-0003-4000-616X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cheese, a widely consumed dairy product, can be contaminated with Staphylococcus aureus (S. aureus), a pathogen capable of producing toxins harmful to humans. Of particular concern is Methicillin-Resistant S. aureus (MRSA), which harbors antimicrobial resistance genes and secretes super-antigenic toxins. Present investigation aimed at determining the occurrence and characterizing MRSA in commercial cheese, to evaluate its potential public health risks. 120 cheese samples representing twelve commercial brands were collected in ten different batches over a six-month period in Sylhet, Bangladesh. The quality of the cheeses was evaluated and compared against the standards of Bangladesh Food Safety Authority (BFSA), European Union (EU), and Food Safety and Standards Authority of India (FSSAI). The occurrence of MRSA and its virulence factors were determined using standard microbiological and molecular techniques. Results revealed that 65% samples were positive for S. aureus, with staphylococcal load surpassing safety thresholds according to the above-mentioned standards. MRSA was detected in 30% of the samples, exhibiting resistance to multiple antibiotics. All the isolates showed resistance against penicillin, tetracycline, doxycycline, trimethoprim-sulfamethoxazole and azithromycin, whereas ceftaroline, norfloxacin, and levofloxacin exhibited intermediate level of sensitivity. Enterotoxin genes SEa and SEc were prevalent in 16.67% and 8.97% of isolates, respectively, while TSST-1 gene was identified in 25.64% among the exfoliative toxin genes. Notably, 85.90% and 80.77% of the isolates exhibited biofilm formation based on the Congo Red and microtiter plate techniques, respectively, with significant percentages of biofilm associated regulatory genes icaA (73.08%), icaD (53.85%), clfA (78.21%), clfB (61.54%), and fnbA (69.23%). The substantial prevalence of blaCTX-M-2a (88.46%) and blaTEM (25.64%) highlights the significant public health risks associated with MRSA contamination in cheese. The high occurrence of S. aureus and the detection of multiple toxin-encoding genes further emphasize the need for strengthened monitoring and stricter control measures across the production and distribution chain to reduce contamination and ensure product safety.

Indexed as

Bacterial ToxinsCheeseMethicillin-Resistant Staphylococcus aureusVirulence FactorsAnti-Bacterial AgentsBangladeshEnterotoxinsFood MicrobiologyHumansMicrobial Sensitivity TestsPublic HealthAnti-Bacterial AgentsBacterial ToxinsEnterotoxinsVirulence Factors

Identifiers

PMID42275280
PMCPMC13257977

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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.