NDLI: 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.

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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.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Ueda, O. Tanaka, S. Nagasawa, Z. Hanaki, H. Shobuike, T. Miyamoto, H.
Description	Country affiliation: Japan Author Affiliation: Ueda O ( Microbiology Group, MM Business Unit, Siemens Healthcare Diagnostics KK, Tokyo, Japan); Tanaka S ( Department of Clinical Laboratory, Saga University Hospital, Saga, Japan.); Nagasawa Z ( Department of Medical Technology and Sciences, School of Health Sciences at Fukuoka, International University of Health and Welfare, Fukuoka, Japan.); Hanaki H ( Kitasato University Research Centre for Anti-infectious Drugs, Tokyo, Japan.); Shobuike T ( Department of Pathology and Microbiology, Faculty of Medicine, Saga University, Saga, Japan.); Miyamoto H ( Department of Pathology and Microbiology, Faculty of Medicine, Saga University, Saga, Japan. Electronic address: miyamoth@cc.saga-u.ac.jp.)
Abstract	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.
File Format	HTM / HTML
ISSN	01956701
Issue Number	2
Volume Number	90
e-ISSN	15322939
Journal	Journal of Hospital Infection
Language	English
Publisher	Elsevier
Publisher Date	2015-06-01
Publisher Place	Great Britain (UK)
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Communicable Diseases Bacterial Typing Techniques Methods Dna, Bacterial Analysis Methicillin-resistant Staphylococcus Aureus Classification Genetics Mutant Proteins Spectrometry, Mass, Matrix-assisted Laser Desorption-ionization Genetic Variation Reproducibility Of Results Journal Article
Content Type	Text
Resource Type	Article
Subject	Infectious Diseases Microbiology (medical)

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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