Optimization of Multiple Pathogen Detection Using the TaqMan Array Card: Application for a Population-Based Study of...

Area of Science:

• Clinical microbiology
• Infectious disease diagnostics
• Molecular epidemiology

Background:

• Identifying the cause of infectious diseases, especially in resource-limited areas, is difficult due to diverse pathogens.
• The TaqMan Array Card (TAC) is a promising tool for detecting multiple pathogens simultaneously.
• TAC technology offers potential for broader application in clinical microbiology and surveillance.

Purpose of the Study:

• To optimize the TaqMan Array Card (TAC) for improved pathogen detection in the Aetiology of Neonatal Infection in South Asia (ANISA) study.
• To address technical challenges encountered during large-scale infectious disease surveillance using TAC.
• To develop and validate new assays for enhanced pathogen identification in neonatal infections.

Main Methods:

• Increased assay replicates and implemented a robust RT-qPCR enzyme formulation.
• Adopted a more efficient total nucleic acid extraction method from blood specimens.
• Developed and analytically validated ten new assays for specific pathogen detection.

Main Results:

• Revised study-specific TACs to detect 22 pathogens in NP/OP swabs and 12 pathogens in blood specimens.
• Included internal positive controls and human nucleic acid controls for each specimen type.
• Successfully optimized TAC for large-scale surveillance, improving pathogen detection capabilities.

Conclusions:

• Optimized TAC enhances pathogen detection for infectious disease surveillance and clinical use.
• Improvements benefit the ANISA study and other multi-pathogen detection initiatives.
• Lessons learned can facilitate the wider adoption of TAC technology in clinical settings.