Establishing a pulmonary aspergillus fumigatus infection diagnostic platform based on RPA-CRISPR-Cas12a

Chunhui Lin1,2, Jing Zhou1,2, Nana Gao1,2

  • 1Department of Clinical Laboratory, the First Affiliated Hospital of Anhui Medical University, Hefei, People's Republic of China.

Insights

This study presents a novel diagnostic platform using recombinase polymerase amplification (RPA) and CRISPR/Cas12a for rapid, on-site detection of respiratory fungal pathogens. It offers high sensitivity and specificity without complex equipment.

Area of Science:

  • Molecular Biology
  • Biotechnology
  • Diagnostic Technologies

Background:

  • Respiratory fungal infections pose a significant health burden.
  • Current diagnostic methods often require specialized equipment and trained personnel.
  • There is a need for rapid, sensitive, and accessible diagnostic tools.

Purpose of the Study:

  • To develop and validate a novel diagnostic platform for detecting respiratory fungal pathogens.
  • To integrate recombinase polymerase amplification (RPA) with the CRISPR/Cas12a system for enhanced detection.
  • To evaluate the platform's performance using both fluorescence and lateral flow strip (LFS) detection methods.

Main Methods:

  • Combined RPA and CRISPR/Cas12a for nucleic acid detection.
  • Utilized two readout formats: RPA-Cas12a-fluorescence and RPA-Cas12a-LFS.
  • Tested for cross-reactivity against seven common fungal pathogens.
  • Determined the limit of detection (LOD) and compared performance against quantitative PCR (qPCR).

Main Results:

  • The platform demonstrated high specificity, with no cross-reactivity against other fungal pathogens.
  • Achieved a low limit of detection (LOD) of 10^2 copies/µL.
  • Exhibited high sensitivity (96.7%), specificity (100%), and consistency (98.0%) compared to qPCR.
  • Both fluorescence and LFS methods provided reliable results.

Conclusions:

  • The developed RPA-CRISPR/Cas12a platform offers a rapid, precise, and equipment-light diagnostic solution.
  • The platform is suitable for point-of-care and primary healthcare settings.
  • This technology has the potential to significantly improve the diagnosis and management of respiratory fungal infections.