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Antibiotic Resistance Pattern and Prevalence of tetA, tetB, tetR, OXA-10 and OXA-48 Resistance Genes among Escherichia coli Isolates from Toilets in Mashhad Azad University (Iran) in 2020.
- Source :
- Iranian Journal of Medical Microbiology; Mar/Apr2023, Vol. 17 Issue 2, p167-175, 9p
- Publication Year :
- 2023
-
Abstract
- Background and Aim: Escherichia coli is the normal flora of the human and animal intestine that sometimes causes pathogenesis within the intestine and urinary tract. The current study investigates resistance genes in Escherichia coli isolated from the toilets at the Islamic Azad University of Mashhad, Iran, and to perform genome sequencing in tetracyclineresistant strains. Materials and Methods: This cross-sectional evaluation was carried out on 200 samples collected over three months. Samples were cultured and isolated using eosin methylene blue agar medium (EMB). E. coli Samples were identified and used to evaluate the resistance genes by polymerase chain reaction (PCR). The E. coli isolates were used for an Antibiogram test to identify resistant strains. For the statistical analysis of antibiotics pattern, SPSS-22 and the Kolmogorov-Smirnov test were used. Results: Out of 200 samples, 41 isolates were identified as E. coli with the highest resistance rate to cefotaxime (74.60%) and the highest sensitivity rate to gentamicin (58.74%). Among the 20 isolates, 30%, 20%, 25% carried blaTEM-1, blaOXA-10 and blaOXA-48 genes, respectively. Among 38 tetracycline-resistant isolates, three isolates (7.89%) had tetA gene, and two (5.26%) had the tetR gene. Conclusion: In this experiment, most of the isolates were identified as E. coli and were resistant to antibiotics. To control the spread of E. coli infectious disease and arbitrary use of antibiotics, it is recommended to conduct some educational programs and social activities with the aim of increasing health awareness. [ABSTRACT FROM AUTHOR]
- Subjects :
- ANTIBIOTICS
ESCHERICHIA coli
SEQUENCE analysis
TETRACYCLINE
CROSS-sectional method
CULTURE media (Biology)
ANTI-infective agents
CEFOTAXIME
DRUG resistance
GENTAMICIN
TETANUS antitoxin
GENOMES
DESCRIPTIVE statistics
DRUG resistance in microorganisms
POLYMERASE chain reaction
DATA analysis software
METHYLENE blue
Subjects
Details
- Language :
- English
- ISSN :
- 17358612
- Volume :
- 17
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Iranian Journal of Medical Microbiology
- Publication Type :
- Academic Journal
- Accession number :
- 164359929
- Full Text :
- https://doi.org/10.30699/ijmm.17.2.167