Submitted: 19 Feb 2020
Revised: 15 May 2020
Accepted: 15 Aug 2020
First published online: 30 Aug 2020
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Int J Enteric Pathog. 2020;8(3):80-83.
doi: 10.34172/ijep.2020.18
  Abstract View: 110
  PDF Download: 105

Original Article

Isolation, Identification, and Antibiotic Susceptibility Testing of Salmonella Isolated from Foodborne Outbreaks

Mohammad Mehdi Soltan Dallal 1,2 * ORCiD, Milad Abdi 3,4, Mahya Khalilian 1, Zahra Rajabi 2, Ronak Bakhtiari 1, Mohammad Kazem Sharifi Yazdi 5, Somayeh Yaslianifard 6, Seyedeh Masoumeh Abrishamchian Langroudi 7

1 Division of Microbiology, Department of Pathobiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran
2 Food Microbiology Research Center, Tehran University of Medical Sciences, Tehran, Iran
3 Student Research Committee, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
4 Department of Microbiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
5 Zoonosis Research Center, Tehran University of Medical Sciences, Tehran, Iran
6 Department of Microbiology, Medical School, Alborz University of Medical Sciences, Karaj, Iran
7 Pathobiology Laboratory Center, No17, Gharani Alley, Valiasr Ave, Tehran, Iran
*Corresponding Author: Mohammad Mehdi Soltan Dallal, Division of Food Microbiology, Department of Pathobiology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. Tel: +989121452646; Email: Email: msoltandallal@gmail.com

Abstract

Background: Foodborne diseases are a major problem worldwide. The epidemiological investigations in many parts of the world have shown an increase in infections caused by Salmonella serovars. Furthermore, the emergence of drug resistance among them has become a major global concern and awareness of the resistance patterns of Salmonella could be very useful in treatment of diseases.

Objective: This study aimed to investigate Salmonella serotypes in foodborne outbreaks by sequencing of ITS region of 16S-23SrRNA gene and to determine their antimicrobial susceptibility pattern.

Materials and Methods: A total of 614 diarrheal stool samples were collected from 173 foodborne outbreaks in different provinces of Iran during one year. Identification of Salmonella was carried out by phenotypic and molecular (16s-23srRNA gene detection) methods and antibiotic susceptibility was performed using disc diffusion method.

Results: Out of 614 samples, 18 isolates were identified as Salmonella of which 16 (88.9%) isolates were Salmonella Enteritidis and 2 (11.1%) isolates as Salmonella Paratyphi A. All isolates were sensitive to ceftazidime, and high resistance was seen with nalidixic acid with 14 (77.8%) isolates.

Conclusion: Increasing antibiotic resistance in many bacterial pathogens such as Salmonella has been a major threat for human health. Therefore, identifying the antibiotic resistance patterns of Salmonella serovars may help in treatment of the associated infections.



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