Identification of Methicillin-Resistant Staphylococcus epidermidis (MRSE) Strains Associated with Food Poisoning Outbreaks in Clinical Samples
Subject Areas : Experimental StudiesParisa Behshod 1 , Elahe Tajbakhsh 2 , Hassan Momtaz 3
1 - Department of Microbiology, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
2 - Department of Microbiology, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
3 - Department of Microbiology, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
Keywords: PCR, Food poisoning, Methicillin-Resistant Staphylococcus epidermidis (MRSE),
Abstract :
Methicillin-Resistant Staphylococcus epidermidis is an important pathogen that causes infectious diseases whose treatment is extremely formidable. Staphylococcus epidermidis enterotoxins with effects on intestinal epithelial cells can are be causing Create food poisoning in people. The aim of current study is to the identification of MRSE strains associated with food poisoning outbreaks in Isfahan. During six- months, 60 clinical specimens to isolated from strains of Staphylococcus epidermidis were screened. Following identification strains, MRSE isolates were isolated by PCR method and, and then antibiotic resistance pattern of them was determined by Kirby – Bauer method. The presence of the sea, seb, sed and, sei genes was analyzed by PCR. 45 isolates of Staphylococcus epidermidis were isolated from 60 samples, 30 isolate (66.6 percent) were MRSE. MRSE isolates exhibited the highest rates of resistance to penicillin (80 percent), and cefoxitin (56.6 percent), while they showed the lowest resistance to levofloxacin (13.3 percent), and rifampicin (6.6 percent). The prevalence rate of Moreover, the frequency of enterotoxin genes sea, seb, sed and, sei was 60 percent, 63.3 percent, 13.3 percent and, 76.6 percent respectively, in the isolate. In this study, high percentage of MRSE isolates were antibiotic resistant and produced enterotoxin. Considering that these toxins are superantigen and can more intense the complications of clinical and nosocomial infections, detecting and rapid treatment of these infections are essential.
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