| Literature DB >> 29501136 |
Kevin Mclean1, Javier Palarea-Albaladejo2, Carol G Currie3, Lisa H J Imrie4, Erin D T Manson5, Douglas Fraser-Pitt6, Frank Wright7, Colin J Alexander8, Kevin G J Pollock9, Lesley Allison10, Mary Hanson11, David G E Smith12.
Abstract
Whole cell MALDI is regularly used for the identification of bacteria to species level in clinical Microbiology laboratories. However, there remains a need to rapidly characterize and differentiate isolates below the species level to support outbreak management. We describe the implementation of a modified preparative approach for MALDI-MS combined with a custom analytical computational pipeline as a rapid procedure for subtyping Shigatoxigenic E. coli (STEC) and accurately identifying strain-specifying biomarkers. The technique was able to differentiate E. coli O157:H7 from other STEC. Within O157 serotype O157:H7 isolates were readily distinguishable from Sorbitol Fermenting O157 isolates. Overall, nine homogeneous groups of isolates were distinguished, each exhibiting distinct profiles of defining mass spectra features. This offers a robust analytical tool useable in reference/diagnostic public health scenarios. CrownEntities:
Keywords: Escherichia coli; MALDI-MS; Mass spectrometry; STEC; Shigatoxigenic E. coli; Spectral processing
Mesh:
Year: 2018 PMID: 29501136 DOI: 10.1016/j.talanta.2018.01.055
Source DB: PubMed Journal: Talanta ISSN: 0039-9140 Impact factor: 6.057