Detection of diarrhoeal pathogens in human faeces using an automated, robotic platform

Area of Science:

• Medical Microbiology
• Clinical Diagnostics
• Molecular Biology

Background:

• Infectious diarrhoeal diseases pose a significant global health and economic challenge.
• Current diagnostic methods for gastrointestinal pathogens often lack sufficient sensitivity and specificity.
• Accurate and rapid pathogen detection is crucial for effective disease control and patient management.

Purpose of the Study:

• To evaluate an automated, robotic platform for the simultaneous detection of eight key infectious diarrhoea pathogens.
• To assess the sensitivity, specificity, and throughput of the robotic platform compared to existing methods.

Main Methods:

• Multiplexed-tandem PCR and single-strand conformation polymorphism analysis (SSCP) with selective sequencing were employed.
• Genomic DNA from 167 human faecal samples with diarrhoea (diagnosed with cryptosporidiosis) and 100 control samples were tested.
• The platform simultaneously screened for adenovirus 40/41, norovirus, Clostridium difficile, Campylobacter, Salmonella, Shigella, Cryptosporidium, and Giardia.

Main Results:

• The automated platform successfully detected multiple pathogens, with all 167 cryptosporidiosis-diagnosed samples testing positive for Cryptosporidium.
• Specific pathogen detections included adenovirus 40/41 (n=5), Campylobacter (n=4), C. difficile (n=3), and Shigella spp. (n=7).
• The system demonstrated high sensitivity, detecting fewer than 10 individual pathogens, and reported no false positive results.

Conclusions:

• The automated robotic detection platform is a highly sensitive and high-throughput tool for identifying major infectious diarrhoea pathogens.
• This technology requires minimal molecular biology expertise, making it suitable for diverse diagnostic facilities.
• The platform offers a significant advancement in the rapid and accurate diagnosis of infectious diarrhoea, aiding disease control efforts.