Candida parapsilosis Infection: A Multilocus Microsatellite Genotyping-Based Survey Demonstrating an Outbreak in

Cinzia Calà1, Ignazio Fontana2, Paola Di Carlo1

  • 1Department of Science for Health Promotion and Mother to Child Care "G. D'Alessandro" - University of Palermo, Palermo.

Insights

Microsatellite analysis revealed 46 distinct genotypes among 70 Candida parapsilosis strains, highlighting genetic diversity and transmission patterns in a hospital setting. This method accurately tracks fungal infections and aids in understanding their spread.

Area of Science:

  • Medical Mycology
  • Molecular Epidemiology
  • Infectious Diseases

Background:

  • Candida parapsilosis is a significant opportunistic fungal pathogen.
  • Understanding the genetic diversity and transmission of C. parapsilosis is crucial for infection control in healthcare settings.

Purpose of the Study:

  • To analyze the genotypes of C. parapsilosis strains isolated from different hospital wards.
  • To investigate the genetic relationship and transmission patterns of C. parapsilosis within a tertiary-referral university center.

Main Methods:

  • Microsatellite analysis using eight markers and two multiplex PCR assays.
  • Evaluation of 70 C. parapsilosis strains isolated over two years (January 2015-December 2016).
  • Application of Bruvo's genetic distance for genetic relationship assessment.

Main Results:

  • Identified 46 distinct multilocus genotypes from 70 C. parapsilosis strains.
  • Detected 74 alleles across eight microsatellite loci, with high variability in CP6 and CP4.
  • Found four distinct clusters across four of five wards, including a significant cluster of 16 patients in General Surgery with potential spread to General Medicine.

Conclusions:

  • Microsatellite genotyping provides high accuracy and discriminative power for studying C. parapsilosis genetic diversity.
  • Molecular epidemiology is effective for evaluating horizontal transmission of C. parapsilosis in clinical settings.
  • Microsatellite analysis and Bruvo's genetic distance are suitable tools for detecting and assessing nosocomial fungal infections.

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