Microscopic characterization of Pseudomonas Aeruginosa confines separate from clinical cases by testing RAPD-PCR

Z Mahmmudi1, A Emami2, A A Gorzin3

  • 1Kazeroun Branch, Islamic Azad University, Kazeroon, Iran.

Insights

This study analyzed antibiotic resistance and genetic patterns in Pseudomonas Aeruginosa from burn patients. RAPD-PCR identified distinct genetic profiles, aiding in understanding infection spread and control.

Area of Science:

  • Medical Microbiology
  • Infectious Diseases
  • Molecular Biology

Background:

  • Pseudomonas Aeruginosa is a major opportunistic pathogen, particularly affecting immune-compromised individuals like burn victims.
  • Carbapenems are crucial for treating resistant strains, but understanding resistance mechanisms and transmission is vital for controlling nosocomial infections.

Purpose of the Study:

  • To investigate the antibiotic sensitivity profile of Pseudomonas Aeruginosa isolates from burn patients.
  • To determine the genetic patterns of these isolates using the RAPD-PCR technique.
  • To correlate genetic diversity with antibiotic resistance for improved infection control strategies.

Main Methods:

  • Antibiotic susceptibility testing (Antibiogram) was performed on Pseudomonas Aeruginosa isolates.
  • Random Amplified Polymorphic DNA-Polymerase Chain Reaction (RAPD-PCR) was employed for genetic fingerprinting.
  • Specific primers (272, 277, 287) were used to analyze genetic polymorphism.

Main Results:

  • Gentamicin showed 50% sensitivity, while Nalidixic Acid, Erythromycin, and Cefotaxime exhibited 90% resistance.
  • RAPD-PCR with primers 272, 277, and 287 revealed 18, 15, and 11 distinct genetic patterns (algorithms), respectively.
  • The study demonstrated significant genetic diversity among the Pseudomonas Aeruginosa isolates.

Conclusions:

  • Antibiotic resistance is a significant concern in Pseudomonas Aeruginosa infections among burn patients.
  • RAPD-PCR is an effective tool for bacterial genotyping, essential for epidemiological studies and understanding resistance transmission.
  • These findings support the development of targeted infection control measures based on genetic profiling.