Molecular typing characteristics and drug resistance of Salmonella from food-borne diarrhea patients in Chifeng, China
DOI:
https://doi.org/10.3855/jidc.21764Keywords:
foodborne infections, Salmonella, serotype distribution, antimicrobial resistance, PFGE typingAbstract
Introduction: This study aimed to investigate the infection status, serotype distribution, drug resistance, and molecular typing characteristics of Salmonella in food-borne diarrhea patients in Chifeng, China, from 2022 to 2024.
Methodology: Fecal samples were collected from diarrhea patients for Salmonella isolation and molecular serotype identification. The isolates were tested using the microbroth dilution method and pulsed-field gel electrophoresis (PFGE) to assess drug susceptibility and perform molecular typing. Statistical analysis was conducted using the SPSS 25.0 software.
Results: Salmonella was detected in 52 of the 737 fecal samples, yielding a positive detection rate of 7.06% (52/737). A total of 52 Salmonella strains were isolated, predominantly Salmonella Typhimurium and Salmonella Enteritidis, which accounted for 40.38% (21/52) and 21.15% (11/52), respectively. Additionally, 5 other serotypes were identified: S. Kentucky, S. Dublin, S. Liverpool, S. Vilshaw, and S. Paratyphoid A. Notably, 48 strains (92.31%, 48/52) exhibited resistance to at least one antibiotic, with resistance rates exceeding 50% for ampicillin, streptomycin, tetracycline, and nalidixic acid. The rate of multiple drug resistance reached 86.54% (45/52). Cluster analysis of the 52 Salmonella strains revealed 39 band types with similarity indices ranging from 50.1% to 100%. Notably, a higher similarity coefficient indicated greater similarity in drug resistance phenotypes among the strains.
Conclusions: The detection rate of Salmonella among food-borne diarrhea patients in Chifeng from 2022 to 2024 was notably high. The predominant serotypes were S. Typhimurium and S. Enteritidis. The PFGE band types were relatively diverse, and the strains exhibited significant drug resistance, including multiple drug resistance.
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Copyright (c) 2026 Chunru Wei, Yanbo Bai, Huying Li, Peng Peng, Yunyao Zhao, Huixia Yu, Fengjun Yang

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