| Title |
The prevalence of plasmid-mediated quinolone resistance and ESBL-production in Enterobacteriaceae isolated from urinary tract infections
|
|---|---|
| Published in |
Infection and Drug Resistance, July 2018
|
| DOI | 10.2147/idr.s160720 |
| Pubmed ID | |
| Authors |
Robab Azargun, Mohammad Reza Sadeghi, Mohammad Hossein Soroush Barhaghi, Hossein Samadi Kafil, Fatemeh Yeganeh, Mahin Ahangar Oskouee, Reza Ghotaslou |
| Abstract |
β-lactam and fluoroquinolone antibiotics are usually used for the treatment of urinary tract infections (UTIs). The aim of this study was to determine the prevalence of plasmid-mediated quinolone resistance (PMQR) and extended spectrum β-lactamases (ESBLs) in Enterobacteriaceae isolated from UTIs. Two hundred and nineteen samples of Enterobacteriaceae isolated from UTIs were collected in the Northwest of Iran. Antimicrobial susceptibility testing was determined by the disk diffusion method. ESBLs were detected by the double-disk test. ESBL and PMQR-encoding genes were screened using the polymerase chain reaction. The rate of resistance to moxifloxacin, nalidixic acid, gatifloxacin, ofloxacin, ciprofloxacin, and levofloxacin in ESBL-producing isolates was 89.3%, 88%, 84%, 80%, 78.7%, and 73.3%, respectively. PMQR-producing Enterobacteriaceae isolates were identified in 67 samples (89.1%). The most prevalent PMQR genes were aac (6')-Ib-cr 120 (68.6%) followed by oqxB 72 (41.1%), oqxA 59 (33.7%), qnrB 36 (20.6%), qnrS 33 (18.9%), qnrD 19 (10.9%), qepA 13 (7.4 %), qnrA 10 (5.7%), and qnrC 9 (5.1%). There was a strong association between PMQR genes and blaCTX-M-15 and blaTEM-116 and other ESBL genes. High resistance rates were detected to quinolones among ESBL-producing isolates from UTIs. There is a high prevalence of PMQR genes in Enterobacteriaceae in Azerbaijan and Iran, and the most common PMQR is aac(6')-Ib-cr. There is a significant association between PMQR and ESBL-producing isolates. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 14% |
| Student > Master | 10 | 13% |
| Student > Bachelor | 7 | 9% |
| Other | 5 | 6% |
| Lecturer | 4 | 5% |
| Other | 12 | 15% |
| Unknown | 31 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 15 | 19% |
| Agricultural and Biological Sciences | 7 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 8% |
| Veterinary Science and Veterinary Medicine | 6 | 8% |
| Medicine and Dentistry | 6 | 8% |
| Other | 9 | 11% |
| Unknown | 31 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 August 2018.
All research outputs
#15,540,879
of 23,096,849 outputs
Outputs from Infection and Drug Resistance
#744
of 1,698 outputs
Outputs of similar age
#209,429
of 328,121 outputs
Outputs of similar age from Infection and Drug Resistance
#25
of 41 outputs
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