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Published on: December 28, 2017
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.
Abstract:
Microsatellite analysis identifies specific genotypes and the genetic relationship between strains. Our objective was to analyze the genotypes of C. parapsilosis strains isolated on different wards of a Tertiary-Referral University Center. We evaluated 70 C. parapsilosis strains in total, isolated from samples of patients admitted to five different wards over two years (January 2015-December 2016). Eight microsatellite markers were selected, and two multiplex PCR assays were set up for microsatellite analysis. The 70 strains, examined at eight microsatellite loci, showed 46 different multilocus genotypes profiles. A total of 74 alleles were detected, with an average of 9.25 alleles per locus. The most variable loci were CP6 and CP4, with 20 and 15 alleles, respectively. Four clusters were detected in four out of five wards. A significant cluster that involved 16 patients in the General Surgery department was also found in two patients who had been transferred to the General Medicine ward. Two multiplex PCRs allowed us to minimize costs, define genotypes and study the isolates' genetic diversity with extreme accuracy, demonstrating the high discriminative power of the microsatellite markers. Molecular epidemiology constitutes an appropriate tool for evaluating horizontal transmission of C. parapsilosis in different clinical settings. Microsatellite genotyping and the utilization of Bruvo's genetic distance are suitable for detecting and appraising nosocomial fungal infections.
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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