Development of a novel matrix-assisted laser desorption/ionization time-of-flight mass spectrum (MALDI-TOF-MS)-based typing method to identify meticillin-resistant Staphylococcus aureus clones

• Published in: The Journal of hospital infection Vol. 90; no. 2; pp. 147 - 155
• Main Authors: Ueda, O, Tanaka, S, Nagasawa, Z, Hanaki, H, Shobuike, T, Miyamoto, H
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.06.2015
• Subjects: Bacterial Typing Techniques - methods; DNA, Bacterial - analysis; Genetic Variation; Infectious Disease; Matrix-assisted laser desorption/ionization time-of-flight; Methicillin-Resistant Staphylococcus aureus - classification; Methicillin-Resistant Staphylococcus aureus - genetics; Meticillin-resistant Staphylococcus aureus; Mutant Proteins - analysis; Phage open-reading frame typing; Pulsed-field gel electrophoresis; Reproducibility of Results; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; Typing; Pulsed-field gel electrophoresis; Typing; Matrix-assisted laser desorption/ionization time-of-flight; Phage open-reading frame typing; Meticillin-resistant Staphylococcus aureus
• ISSN: 0195-6701; 1532-2939
• DOI: 10.1016/j.jhin.2014.11.025

Summary Background Mass spectrum analysis enables species- and subspecies-level identification, and can be used as an epidemiological tool in outbreak management. However, its reliability at clonal level has yet to be established. Aim To establish a matrix-assisted laser desorption/ionization time-of-flight mass-spectrum-based method that enables bacterial clone identification with accuracy equivalent to pulsed-field gel electrophoresis/phage open-reading frame typing (PFGE/POT). Methods Meticillin-resistant Staphylococcus aureus (MRSA) was used in this study. Mass spectra were obtained from a standard strain of S. aureus (ATCC29213) and 57 clinically isolated strains, categorized according to POT. Peaks associated with MRSA clone identification ( N  = 67) were extracted. Based on this peak information, the feasibility of MRSA clone identification was examined by cluster analysis. Findings In addition to the 58 strains used for peak extraction, mass spectrum analysis of 24 clinically isolated outbreak strains revealed that peak data could be used for successful identification of clones. These typing results were fully consistent with the PFGE and POT results. Conclusion This novel method enables simple and rapid typing with accuracy equivalent to PFGE/POT. This method would be suited to rapid outbreak analysis, offering accurate information to combat infectious diseases.