[Antimicrobial resistance, virulence factors, and molecular characterization of methicillin-resistant Staphylococcus aureus isolates cultured from ready-to-eat foods].


Journal

Wei sheng yan jiu = Journal of hygiene research
ISSN: 1000-8020
Titre abrégé: Wei Sheng Yan Jiu
Pays: China
ID NLM: 9426367

Informations de publication

Date de publication:
Jan 2020
Historique:
entrez: 16 4 2020
pubmed: 16 4 2020
medline: 14 8 2020
Statut: ppublish

Résumé

To understand the antimicrobial resistance, virulence factors, and molecular characterization of MRSA isolates cultured from ready-to-eat(RTE) foods from several provinces in China. Totally, 397 S. aureus isolates were collected from RTE foods from several provinces in China, in 2017. The mecA gene was amplified to detect the MRSA strains among all 397 isolates by a polymerase chain reaction(PCR) method. Furthermore, the antimicrobial susceptibility and virulence factors of the MRSA isolates were detected by broth microdilution method and PCR, respectively, while the molecular characterization of all MRSA isolates were analyzed by pulsed-field gel electrophoresis(PFGE). In total, 32 MRSA isolates were identified from 397 isolates. All 32 MRSA isolates were resistant to penicillin, oxacillin and cefoxitin. Meanwhile, 78. 1%, 65. 6%, 53. 1, 28. 1% and 12. 5% of the 32 MRSA isolates showed resistant to erythromycin, clindamycin, tetracycline, chloramphenicol, and ciprofloxacin, respectively. Resistance rates to gentamicin and trimethoprim-sulfamethoxazole of all MRSA isolates were less than 10%. Eleven drug resistant spectrums were identified and 29 out of 32 MRSA isolates were identified as multi-drug resistant(MDR) isolates and two isolates were found to resistant to 9 antimicrobial agents tested in this study. Of all, 27 MRSA isolates were detected to harboring 13 virulence genes with sel-q(56. 3%), sel-k(43. 8%), seb(28. 1%) and sec(18. 8%) genes being the top four frequently detected. Besides, the result also showed that two or more virulence genes could be detected in one MRSA isolate. Finally, all 32 MRSA were identified to have 26 PFGE patterns and no dominant PFGE patterns were found in this study. An overall high level antimicrobial resistance was found among RTE associated MRSA in China in 2017, so was the MDR condition. Virulence genes could be frequently detected in RTE associated MRSA isolates. The PFGE patterns of RTE associated MRSA showed wide distribution characteristics.

Identifiants

pubmed: 32290915
doi: 10.19813/j.cnki.weishengyanjiu.2020.01.010
doi:

Substances chimiques

Anti-Bacterial Agents 0
Virulence Factors 0

Types de publication

Journal Article

Langues

chi

Sous-ensembles de citation

IM

Pagination

56-62

Auteurs

Wei Wang (W)

Key Laboratory of Food Safety Risk Assessment of Ministry of Health, China National Center for Food Safety Risk Assessment, Beijing 100021, China.

Lei Bi (L)

Zibo Central Hospital, Zibo 255036, China.

Xinli Li (X)

Zibo Central Hospital, Zibo 255036, China.

Fengqin Li (F)

Key Laboratory of Food Safety Risk Assessment of Ministry of Health, China National Center for Food Safety Risk Assessment, Beijing 100021, China.

Ying Wang (Y)

School of Food Science and Engineering, Beijing Agricultural College, Beijing 102206, China.

Hui Li (H)

Key Laboratory of Food Safety Risk Assessment of Ministry of Health, China National Center for Food Safety Risk Assessment, Beijing 100021, China.

Yao Bai (Y)

Key Laboratory of Food Safety Risk Assessment of Ministry of Health, China National Center for Food Safety Risk Assessment, Beijing 100021, China.

Jiangshan Liu (J)

Key Laboratory of Food Safety Risk Assessment of Ministry of Health, China National Center for Food Safety Risk Assessment, Beijing 100021, China School of Food Science and Engineering, Northwest A & F University, Yangling 712100, China.

Jianyun Zhao (J)

Key Laboratory of Food Safety Risk Assessment of Ministry of Health, China National Center for Food Safety Risk Assessment, Beijing 100021, China.

Jin Xu (J)

Key Laboratory of Food Safety Risk Assessment of Ministry of Health, China National Center for Food Safety Risk Assessment, Beijing 100021, China.

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Classifications MeSH