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Adhesion Factors and Association with Antibiotic Resistance among Clinical Isolates of Staphylococcus aureus.

Authors :
Motamedi, Hamid
Asghari, Babak
Tahmasebi, Hamed
Arabestani, Mohammad Reza
Source :
Iranian Journal of Medical Microbiology; Jul-Aug2017, Vol. 11 Issue 3, p27-36, 10p
Publication Year :
2017

Abstract

Background and Aims: Staphylococcus aureus adhesion factors can reinforce the pathogenicity of the bacteria. The aim of this study was to identify adhesion factors among clinical isolates of methicillin-resistant S. aureus and determine the association between these factors and antibiotic resistance patterns. Materials and Methods: In an analytical study from October 2016 to April 2017, 302 clinical isolates of S. aureus were confirmed by biochemical tests. Methicillin-resistant strains were determined by phenotypic methods. Multiplex PCR method was used to identify adhesion factors. In this way, bbp, cna, eno and ebpS genes were identified among different isolates. Results: A total of 302 clinical isolates of S. aureus were isolated from different clinical samples including wound, blood, urine, trachea, catheter, swabs. Of 302 isolates, 123 were methicillin resistant and 73.53% and 75.7% of the isolates were resistant to erythromycin and penicillin, respectively. The incidence of resistance genes among among methicillin resistant S. aureus isolates were as follows: bbp (10 isolates: 6.89%), cna (6 isolates: 13.4%), eno (28 isolates: 19.31%) and ebpS (19 isolates: 13.1%),. There was a significant correlation between the antibiotic resistance patterns and the frequency of adhesion factors (P≤0.05). Conclusions: According to the results, there was a significant correlation between adhesion factors and antibiotic resistance among methicillin-resistant isolates of S. aureus. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17358612
Volume :
11
Issue :
3
Database :
Complementary Index
Journal :
Iranian Journal of Medical Microbiology
Publication Type :
Academic Journal
Accession number :
126191713