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Showing 2 results for Dehbashi

Hamid Motamedi, Shahnaz Dehbashi, Hamed Tahmasebi, Mohammad Reza Arabestani,
Volume 21, Issue 5 (10-2018)
Abstract

Background and Aim: Staphylococcus aureus(S.aureus) has many pathogens. Antibiotic resistance may increase the invasion of this bacterium. The aim of this study was to determine the role and effect of some antibiotic resistance in the spread of pathogenic strains of S.aureus in different clinical specimens.
Materials and Methods: 95 clinical isolates of S.aureus were collected from different clinical specimens. Antibiotic resistance pattern was determined by Disc diffusion method (Kirby-Bauer) for 6 different classes. Identification of adhesion agent genes in isolated isolates was performed using Multiplex-PCR and specific primers. For analysis of the results, GraphPad Prism version 6 and ꭕ2 statistical sampling was used. p≤0.05 was considered significant.
Findings: Of 95 isolates of S.aureus, 29 isolates (30.52%) were resistant to methicillin, 12 isolates (12.63%), resistant to clindamycin, 48 isolates (50.52%), resistant to gatyfloxacin, 88 (92.63%) isolates resistant to gentamicin, 57 (60%) isolates resistant to erythromycin and 79 isolates (83.15%) were resistant to tetracycline. fnbA genes were isolated in 14 isolates (14.73%), fnbB in 29 isolates (30.52%), fib in 21 isolates (22.10%), clfA in 17 isolates (17.89%) and clfB in 19 isolates (20%). There was a significant correlation between resistance to macular antibiotics, tetracycline, beta-lactam, lacosamide, aminoglycoside and pathogens.
Conclusion: The adhesion factors in S.aureus possibly cause some structural changes and cause resistance to various antibiotic classes.

Hamed Tahmasebi, Sanaz Dehbashi, Mohammad Reza Arabestani,
Volume 21, Issue 7 (2-2019)
Abstract

Background and Aim: Gene mutation in Staphylococcus aureus is one of the most important causes of antibiotic-resistant strains. The High Resolution Melting Curve (HRM) analysis of DNA method can detect these mutations very high quality. The purpose of this study was to evaluate the role of clinical sample type in the occurrence of nucleotide mutations in the mecA gene of S. aureus by HRM method.
Materials and Methods: In this experimental study, 43 clinical isolates of S. aureus were used. To detect possible mutations, isolates with mecA gene were replicated and sequenced. Then, analysis was performed using StepOne Software v2.3 and HRM v3.0.1 software. Sequencing results were used as gold-standard.
Ethical Considerations: This study with research ethics code IR.UMSHA.REC.1396.637 has been approved by research ethics committee at Hamadan University of Medical Sciences.
Findings: Of 43 clinical isolates of S. aureus, 11 isolates (25.58%) had mecA gene and 32 isolates (47.41%) lacked the mecA gene. According to different clinical samples, 3 isolates (27.27%) were resistant to methicillin from blood samples, 2 isolates (18.18%) from urine specimens, 2 isolates (18.18%) from wound samples, 2 isolates (18.18%) of the catheter samples, 1 isolate (9.09%) of the abscess and 1 isolate (9.09%) were separated from the nose swab. In the meanwhile, isolates from the wound and urine had the highest mutation in the adenine amino acid as A → T, A → G, A → C, and
A → X. Isolates taken from blood have mutations in Guanine amino acid as
G → A.
Conclusion: There was a significant relationship between type of mutation and type of clinical specimen in methicillin-resistant Staphylococcus aureus isolates.


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