Rapid detection and identification of infectious pathogens based on high-throughput sequencing

Area of Science:

• Medical Diagnostics
• Infectious Diseases
• Genomics

Background:

• Accurate pathogen identification is crucial for diagnosing and treating patients with unexplained symptoms like fever of unknown origin.
• Current diagnostic methods can be time-consuming and may not always identify all causative agents.
• Physicians face challenges in managing complex cases due to diagnostic uncertainties.

Purpose of the Study:

• To develop and evaluate a novel method for identifying previously unidentified infectious pathogens.
• To enhance diagnostic capabilities for challenging clinical cases using unbiased high-throughput sequencing.
• To improve the speed and accuracy of pathogen detection in clinical settings.

Main Methods:

• Development of an unbiased high-throughput sequencing approach for pathogen discovery.
• Application of the method to investigate cases with unidentified clinical symptoms.
• Validation of sequencing results using polymerase chain reaction (PCR) and microbial cultures.

Main Results:

• The developed method successfully identified infectious pathogens, supplementing existing diagnostic technologies.
• It demonstrated the ability to detect viruses and correct false positive results more rapidly.
• Case studies confirmed the identification of Epstein-Barr virus and highlighted a false positive culture result for Streptococcus viridians.

Conclusions:

• The high-throughput sequencing technology offers a promising advancement for the rapid diagnosis of infectious pathogens.
• This approach can guide targeted therapy, potentially leading to improved personalized medicine outcomes.
• The method addresses limitations in current diagnostic tools, enabling quicker and more accurate identification of causative agents.