Using next-generation sequencing to develop a Shigella species threshold and profile faecal samples from suspected...

Area of Science:

• Gastroenterology
• Microbiology
• Bioinformatics

Background:

• Diarrhoeal diseases cause significant global mortality, especially in children under 5.
• Current diagnostic methods for key gastrointestinal pathogens have limited success rates.
• Effective diagnosis, treatment, and infection control are crucial for managing diarrhoeal diseases.

Purpose of the Study:

• To develop and validate reliable diagnostic tools for identifying common gastrointestinal pathogens.
• To improve the accuracy and efficiency of diagnosing diarrhoeal infections.
• To establish a novel threshold for Shigella spp. to differentiate healthy and unhealthy gut communities.

Main Methods:

• Blind analysis of 592 patient samples using advanced diagnostic tools.
• Abundance profiling of bacterial species including Shigella sonnei, Bacteroides, Campylobacter spp., Clostridium difficile, and Salmonella spp.
• Development of a DMBiome model integrating pathogen thresholds and emerging enteropathogens.

Main Results:

• High positive outcome rate of 89% for diagnosing diarrhoeal infections.
• Identified Shigella sonnei as the most abundant species (15%) and Bacteroides as the top genus (26%).
• Established a Shigella spp. threshold of 5.32% for community health assessment.

Conclusions:

• The developed tools offer effective and reliable diagnosis for diarrhoeal infections.
• The study highlights significant differences in microbial abundance between healthy and diarrhoeal states.
• The DMBiome model provides a comprehensive approach to diagnosing gastrointestinal infections.