A Rapid, Visible, and Highly Sensitive Method for Recognizing and Distinguishing Invasive Fungal Infections via

Qiong Yang1, Binghong He1, Chong Chen2

  • 1Beijing Key Laboratory of Gene Resource and Molecular Development, College of Life Sciences, Beijing Normal University, Beijing 100875, China.

ACS Infectious Diseases
|September 29, 2021
PubMed

Insights

A new cationic conjugated polymer-based fluorescence resonance energy transfer (CCP-FRET) method enables rapid, sensitive detection of invasive fungal infections (IFIs). This technology offers a promising tool for early diagnosis and discrimination of multiple pathogens in clinical settings.

Area of Science:

  • Biotechnology and Biomedical Engineering
  • Molecular Diagnostics
  • Infectious Disease Detection

Background:

  • Invasive fungal infections (IFIs) are a major cause of mortality in intensive care units (ICUs), particularly among immunocompromised patients.
  • Early diagnosis of IFIs is challenging due to the lack of specific clinical signs and symptoms.
  • Current diagnostic methods may lack the sensitivity and speed required for timely intervention.

Purpose of the Study:

  • To develop a rapid, visible, simple, and sensitive method for simultaneous detection and discrimination of key pathogens causing IFIs.
  • To utilize cationic conjugated polymer-based fluorescence resonance energy transfer (CCP-FRET) technology for enhanced pathogen identification.
  • To evaluate the clinical utility of the CCP-FRET method in identifying fungal and bacterial infections from patient samples.

Main Methods:

  • Development of a CCP-FRET system comprising a CCP fluorescent probe and pathogen-specific DNA labeled with fluorescent dyes.
  • Utilizing electrostatic attraction for spontaneous self-assembly of the CCP-FRET complex.
  • Detection of pathogen DNA from cultured strains or blood samples via PCR and single-base extension (SBE) reactions, with detection via UV light irradiation.

Main Results:

  • The CCP-FRET method achieved high specificity, detecting DNA from *Candida albicans*, *Klebsiella pneumoniae*, and *Cryptococcus neoformans* without cross-reactions.
  • Demonstrated a sensitivity of 0.03125 ng, significantly higher (tenfold) than real-time PCR.
  • Identified infections in 33.3% of neonatal patient blood samples, including cases missed by real-time PCR, and provided unique fluorescent color/RGB patterns for pathogen discrimination.

Conclusions:

  • The CCP-FRET method is a sensitive, reliable, and rapid platform for identifying multiple fungal and bacterial infections.
  • This technology holds significant promise for improving clinical diagnostic capabilities for invasive infections.
  • The distinct fluorescent outputs facilitate convenient determination of infection types.