PCR-based diagnosis of human fungal infections

Prasanna D Khot1, David N Fredricks

  • 1Vaccine and Infectious Disease Institute, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, Seattle, WA 98109-1024, USA. pkhot@fhcrc.org

Insights

Detecting fungal pathogens with PCR is challenging due to cell wall interference and reagent contamination. This study reviews PCR methods for diagnosing invasive fungal infections, focusing on quality and accuracy.

Area of Science:

  • Medical Mycology
  • Molecular Diagnostics
  • Infectious Disease

Background:

  • Polymerase Chain Reaction (PCR) is valuable for pathogen detection but faces challenges with fungal targets.
  • Fungal cell walls hinder DNA extraction, potentially causing false-negative PCR results.
  • Ubiquitous environmental fungi can contaminate reagents, leading to false-positive PCR results.

Purpose of the Study:

  • To assess the quality of PCR-based diagnostic studies for fungal pathogens.
  • To evaluate taxon-directed PCR assays for invasive aspergillosis, candidiasis, and Pneumocystis pneumonia.
  • To review broad-range fungal PCR assays for detecting diverse fungal pathogens.

Main Methods:

  • Analysis of 42 variables based on the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines.
  • Focus on taxon-directed PCR assays for specific invasive fungal infections.
  • Evaluation of broad-range PCR assays for comprehensive fungal detection.

Main Results:

  • Identified challenges in PCR-based fungal diagnostics, including DNA extraction efficiency and contamination.
  • Assessed the quality of existing PCR studies against MIQE standards.
  • Reviewed the performance of both specific and broad-range fungal PCR assays.

Conclusions:

  • Improving PCR methodologies is crucial for accurate fungal pathogen detection.
  • Adherence to MIQE guidelines enhances the reliability of quantitative PCR studies.
  • Standardized protocols are needed to overcome challenges in fungal PCR diagnostics and minimize false results.

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