Phenotypic and genotypic characterization of macrolide resistance among Staphylococcus aureus isolates in Isfahan, Iran
Macrolide, lincosamide and streptogramin B (MLS ) are noteworthy antibiotics for the treatment of infections. The purpose of this study, was to determine the phenotypic and genotypic characterization of macrolide resistance, among , isolated from clinical samples and nasal swabs. Totally, 162 non-du...
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Veröffentlicht in: | Iranian journal of microbiology 2017-10, Vol.9 (5), p.264-270 |
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Sprache: | eng |
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Zusammenfassung: | Macrolide, lincosamide and streptogramin B (MLS
) are noteworthy antibiotics for the treatment of
infections. The purpose of this study, was to determine the phenotypic and genotypic characterization of macrolide resistance, among
, isolated from clinical samples and nasal swabs.
Totally, 162 non-duplicate
isolates were collected from clinical samples and nasal swabs, from patients and healthcare workers (HCWs), between March 2016 and September 2016, at four teaching hospitals in Isfahan. The antibiotic resistance profile was determined using disk diffusion test and the presence of resistance genes was detected, using PCR.
Of 162
isolates, 43.8% (71/162) and 34% (55/162) isolates were erythromycin-resistant and methicillin-resistant
(MRSA), respectively. The prevalence of constitutive MLS
(cMLS
), inducible MLS
(iMLS
), macrolide-streptogramin B-resistant (MS
) and lincosamide-streptogramin-A resistance (LS
) phenotype was 32%, 6%, 6% and 2%, respectively. The most common erythromycin resistance genes, in
isolates were
C (35.2%), followed by
A (20.4%) and
A (17.3%). Meanwhile,
A was detected in 43.6% of MRSA isolates. The frequency of coexistence of
A+
C+
A, in
isolates was 7% and it was only detected in MRSA isolates.
In the current study, cMLS
phenotype was the most common erythromycin resistance pattern and
C was the most prevalent gene in erythromycin-resistant isolates. The results revealed that the various mechanisms of erythromycin resistance are expanding in Isfahan. |
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ISSN: | 2008-3289 2008-4447 |