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Multicenter comparative study of Enterocytozoon bieneusi DNA extraction methods from stool samples, and mechanical
Céline Nourrisson1,2,3, Maxime Moniot1,3, Maxime Tressol1
1Parasitology-Mycology Department, CHU Clermont-Ferrand, 3IHP, 58 Rue Montalembert, 63000, Clermont-Ferrand, France.
Scientific Reports
|July 4, 2024
Summary
Optimizing mechanical stool pretreatment significantly improves DNA extraction for diagnosing intestinal microsporidiosis using quantitative PCR (qPCR). This enhances detection of low Enterocytozoon bieneusi spore loads.
Area of Science:
- Microbiology
- Molecular Diagnostics
- Parasitology
Background:
- Quantitative PCR (qPCR) is increasingly vital for diagnosing intestinal microsporidiosis.
- Stool pretreatment is a critical, yet often overlooked, step impacting DNA extraction efficiency.
- Few studies have systematically evaluated mechanical pretreatment methods for Enterocytozoon bieneusi.
Purpose of the Study:
- To optimize mechanical stool pretreatment for Enterocytozoon bieneusi DNA extraction.
- To compare the performance of various DNA extraction methods and mechanical pretreatment parameters.
- To identify optimal conditions for maximizing microsporidia DNA recovery from stool samples.
Main Methods:
- A multicenter study evaluated seven manual and automated DNA extraction methods.
- Mechanical pretreatment parameters including duration, grinding speed, and bead types were optimized.
- Optimized parameters were determined using the TissueLyser II with commercial beads.
Main Results:
- DNA extraction method performance varied significantly, especially for low microsporidia loads.
- NucliSENS® easyMAG and Quick DNA Fecal/Soil Microbe Microprep kit showed superior performance.
- Optimal mechanical pretreatment involved 30 Hz for 60 s with mixed-material, small beads.
Conclusions:
- Mechanical stool pretreatment is crucial for effective Enterocytozoon bieneusi DNA extraction.
- Specific pretreatment conditions (30 Hz, 60 s, small mixed beads) enhance qPCR diagnostic sensitivity.
- Optimized methods improve the detection of low-concentration microsporidia spores in stool samples.
