Developing a multiplex PCR-based assay kit for bloodstream infection by analyzing genomic big data.

Area of Science:

• Microbiology
• Molecular Diagnostics
• Bioinformatics

Background:

• Rising incidence of bloodstream infections (BSI) driven by changing pathogen profiles and increased antimicrobial resistance.
• Widespread use of invasive procedures and immunosuppressive agents contributes to BSI prevalence.
• Need for rapid and accurate diagnostic methods for effective BSI management.

Purpose of the Study:

• To develop and validate a multiplex PCR assay kit for the simultaneous detection of a broad range of pathogens causing BSI.
• To enhance diagnostic quality and detection rates for common BSI pathogens.
• To provide a bioinformatics-driven approach for primer design in multiplex PCR.

Main Methods:

• Construction of a local genome DNA database for 33 pathogenic bacteria.
• Bioinformatic primer design using an exhaustive search and recursive algorithm to minimize interactions.
• Optimization of primer and Mg2+ concentrations and PCR conditions for maximum efficacy.
• Validation using five-color fluorescent multiplex PCR and capillary electrophoresis on clinical samples.

Main Results:

• Limit of Detection (LOD) established at 100 copies/μl.
• 95.08% consistency with conventional blood culture methods in clinical samples.
• Successful identification of six pathogens missed by blood culture, demonstrating superior detection capability.

Conclusions:

• A bioinformatics approach significantly aids primer design for multiplex PCR assays.
• The developed multiplex PCR assay kit demonstrates higher sensitivity and accuracy than blood culture for BSI detection.
• This optimized assay offers a valuable tool for improved diagnosis and management of bloodstream infections.