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Mass spectrometry-based Shiga toxin identification: An optimized approach.

Keding Cheng1, Angela Sloan2, Xingle Li3

  • 1National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada; Department of Human Anatomy and Cell Sciences, Faculty of Medicine, University of Manitoba, Winnipeg, Manitoba, Canada.

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Summary

This study introduces a rapid and accurate method for identifying Shiga toxins (Stxs) in E. coli. The approach combines receptor-analogue affinity enrichment with a curated toxin database for sensitive Stx detection using LC-MS/MS.

Keywords:
Affinity purificationLC-MS/MSMass spectrometryShiga toxin identification

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Area of Science:

  • Microbiology
  • Analytical Chemistry
  • Food Safety

Background:

  • Shiga toxin (Stx)-producing E. coli (STEC) are significant foodborne pathogens.
  • Accurate identification of Stx is crucial for disease outbreak management and clinical treatment.

Purpose of the Study:

  • To develop and validate a sensitive and accurate method for identifying Shiga toxins (Stxs) in E. coli.
  • To optimize sample preparation and detection techniques for Stx identification.

Main Methods:

  • Utilized liquid chromatography-tandem mass spectrometry (LC-MS/MS) for toxin detection.
  • Employed receptor-analogue based affinity enrichment on E. coli culture supernatants and lysates.
  • Tested variable culture conditions and mitomycin C (MMC) concentrations to stimulate Stx production.
  • Developed and applied a curated E. coli protein toxin database for enhanced identification.

Main Results:

  • The developed method demonstrated high sensitivity and accuracy in identifying Stxs.
  • Receptor-analogue affinity enrichment combined with LC-MS/MS and a toxin database facilitated rapid Stx detection.
  • The method was successfully verified across multiple genetically confirmed E. coli strains.

Conclusions:

  • The combination of receptor-analogue affinity enrichment, MMC treatment, and a curated E. coli toxin database provides an effective approach for Stx identification.
  • This method offers a fast, accurate, and sensitive tool for detecting Stx-producing E. coli in foodborne disease surveillance and diagnostics.