scholarly journals Global Sequence Analysis and Expression of Azurin Gene in Different Clinical Specimens of Burn Patients with Pseudomonas aeruginosa Infection

2020 ◽  
Vol Volume 13 ◽  
pp. 2261-2275
Author(s):  
Hajar Mohammadi Barzelighi ◽  
Bita Bakhshi ◽  
Bahram Daraei ◽  
Hossein Fazeli ◽  
Bahram Nasr Esfahani
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Sequence Analysis ◽  
Burn Patients ◽  
Clinical Specimens ◽  
Em Gene

scholarly journals Molecular characterization of Pseudomonas aeruginosa isolates from Sudanese patients: A cross-sectional study

F1000Research ◽  
2018 ◽  
Vol 7 ◽  
pp. 1135
Author(s):  
Reem H. Amoon ◽  
Amna H. Abdallha ◽  
Ahmed Osman Sharif ◽  
Ehssan H. Moglad ◽  
Hisham N. Altyb ◽  
...  
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Sequence Analysis ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Rrna Gene ◽  
Bacterial Disease ◽  
Clinical Specimens

Background:16S rRNA gene sequence analysis is a robust tool for characterization of new pathogens in clinical specimens with suspected bacterial disease. The aim of this study was to characterizePseudomonas aeruginosaisolated from clinical specimens by sequencing the 16S rRNA gene.Methods:Forty bacterial isolates were obtained from different clinical specimens (wound, urine and sputum) using enrichment selective media and biochemical tests to characterize and identify the bacteria asP. aeruginosa.DNA was extracted fromP. aeruginosausing the Chelex method. A universal primer was used to amplify 16S rRNA genes by a conventional PCR technique. The amplified PCR products were sequenced, and the sequences were viewed by Finch TV program version 1.4.0. The identity and similarity of the nucleotide sequence of the isolated strains was detected by comparing them with published sequences using BLASTn. Phylogenetic trees were constructed using Phylogeny.fr software.Results:Sequence analysis by BLASTn displayed high similarity and identity withP. aeruginosafrom China KX461910, Australia JN609194 and with otherP. aeruginosaisolates from the GenBank database.Conclusions:Our observation of isolates from different origin sites, further show the utility of 16s rRNA PCR amplification. This reveals the high specify of the primers and accuracy of the PCR. Thus, 16S rRNA sequencing can be used to identify genetically atypicalP. aeruginosaisolates from different origins.

The frequency of genes encoding exotoxin A and exoenzyme S in Pseudomonas aeruginosa strains isolated from burn patients

Burns ◽  
2016 ◽  
Vol 42 (5) ◽  
pp. 1116-1120 ◽  
Author(s):  
Azar Dokht Khosravi ◽  
Fatemeh Shafie ◽  
Effat Abbasi Montazeri ◽  
Soodabeh Rostami
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Burn Patients ◽  
Exotoxin A ◽  
Exoenzyme S ◽  
Genes Encoding

Anticandidal activity of Pseudomonas aeruginosa strains isolated from clinical specimens

Mycoses ◽  
2007 ◽  
Vol 50 (1) ◽  
pp. 74-78 ◽  
Author(s):  
Ilknur Kaleli ◽  
Nural Cevahir ◽  
Melek Demir ◽  
Umut Yildirim ◽  
Rasim Sahin
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Clinical Specimens ◽  
Anticandidal Activity

scholarly journals Antimicrobial Resistance Pattern of Pseudomonas aeruginosa from Different Clinical Specimens: Survey Article

2021 ◽  
Vol 16 (1) ◽  
pp. 1-8
Author(s):  
Hosniyeh E. Ladadweh ◽  
Hiba H. Falana ◽  
Jannat M. Ma�ali ◽  
Pinar A. Aweis ◽  
Hanan N. Nofal ◽  
...  
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Antimicrobial Resistance ◽  
Resistance Pattern ◽  
Clinical Specimens ◽  
Survey Article

scholarly journals Prevalence of Virulence Genes and Drug Resistance Profiles of Pseudomonas aeruginosa Isolated From Clinical Specimens

2021 ◽  
Vol 14 (8) ◽  
Author(s):  
Seyed Ali Bazghandi ◽  
Mohsen Arzanlou ◽  
Hadi Peeridogaheh ◽  
Hamid Vaez ◽  
Amirhossein Sahebkar ◽  
...  
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Drug Resistance ◽  
Antibiotic Resistance ◽  
Virulence Genes ◽  
Virulence Gene ◽  
Clinical Isolates ◽  
Diffusion Method ◽  
Disk Diffusion Method ◽  
Clinical Specimens ◽  
Resistance Rates

Background: Drug resistance and virulence genes are two key factors for the colonization of Pseudomonas aeruginosa in settings with high antibiotic pressure, such as hospitals, and the development of hospital-acquired infections. Objectives: The objective of this study was to investigate the prevalence of drug resistance and virulence gene profiles in clinical isolates of P. aeruginosa in Ardabil, Iran. Methods: A total of 84 P. aeruginosa isolates were collected from clinical specimens of Ardabil hospitals and confirmed using laboratory standard tests. The disk diffusion method was used for antibiotic susceptibility testing and polymerase chain reaction (PCR) for the identification of P. aeruginosa virulence genes. Results: The highest and the lowest antibiotic resistance rates of P. aeruginosa strains were against ticarcillin-clavulanate (94%) and doripenem (33.3%), respectively. In addition, the frequency of multidrug-resistant (MDR) P. aeruginosa was 55.9%. The prevalence of virulence factor genes was as follows: algD 84.5%, lasB 86.9%, plcH 86.9%, plcN 86.9%, exoU 56%, exoS 51.2%, toxA 81%, nan1 13.1%, and pilB 33.3%. A significant association was observed between resistance to some antibiotics and the prevalence of virulence genes in P. aeruginosa. Conclusions: Our results revealed a high prevalence of antibiotic resistance, especially MDR, and virulence-associated genes in clinical isolates of P. aeruginosa in Ardabil hospitals. Owing to the low resistance rates against doripenem, gentamicin, and tobramycin, these antibiotics are recommended for the treatment of infections caused by highly resistant and virulent P. aeruginosa strains.

scholarly journals Biofilm Formation and Virulence Factors Among Pseudomonas aeruginosa Isolated From Burn Patients

2015 ◽  
Vol 8 (10) ◽  
Author(s):  
Zahra Ghanbarzadeh Corehtash ◽  
Ahmad Khorshidi ◽  
Farzaneh Firoozeh ◽  
Hosein Akbari ◽  
Azam Mahmoudi Aznaveh
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Virulence Factors ◽  
Biofilm Formation ◽  
Burn Patients
Sign in / Sign up

Export Citation Format

Share Document