Universität zu Köln

Mari-Almirall, M., Cosgaya, C., Higgins, P. G., Van Assche, A., Telli, M., Huys, G., Lievens, B., Seifert, H., Dijkshoorn, L., Roca, I. and Vila, Jordi ORCID: 0000-0002-8025-3926 (2017). MALDI-TOF/MS identification of species from the Acinetobacter baumannii (Ab) group revisited: inclusion of the novel A. seifertii and A. dijkshoorniae species. Clin. Microbiol. Infect., 23 (3). OXFORD: ELSEVIER SCI LTD. ISSN 1469-0691

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Abstract

Objectives: Rapid identification of Acinetobacter species is critical as members of the A. baumannii (Ab) group differ in antibiotic susceptibility and clinical outcomes. A. baumannii, A. pittii, and A. nosocomialis can be identified by MALDI-TOF/MS, while the novel species A. seifertii and A. dijkshoorniae cannot. Low identification rates for A. nosocomialis also have been reported. We evaluated the use of MALDI-TOF/MS to identify isolates of A. seifertii and A. dijkshoorniae and revisited the identification of A. nosocomialis to update the Bruker taxonomy database. Methods: Species characterization was performed by rpoB-clustering and MLSA. MALDI-TOF/MS spectra were recovered from formic acid/acetonitrile bacterial extracts overlaid with alpha-cyano-4-hydroxy-cinnamic acid matrix on a MicroflexLT in linear positive mode and 2000-20 000 m/z range mass. Spectra were examined with the ClinProTools v2.2 software. Mean spectra (MSP) were created with the BioTyper software. Results: Seventy-eight Acinetobacter isolates representative of the Ab group were used to calculate the average spectra/species and generate pattern recognition models. Species-specific peaks were identified for all species, and MSPs derived from three A. seifertii, two A. dijkshoorniae, and two A. nosocomialis strains were added to the Bruker taxonomy database, allowing successful identification of all isolates using spectra from either bacterial extracts or direct colonies, resulting in a positive predictive value (PPV) of 99.6% (777/780) and 96.8% (302/312), respectively. Conclusions: The use of post-processing data software identified statistically significant species-specific peaks to generate reference signatures for rapid accurate identification of species within the Ab group, providing relevant information for the clinical management of Acinetobacter infections. (C) 2016 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Mari-Almirall, M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Cosgaya, C. UNSPECIFIED UNSPECIFIED UNSPECIFIED Higgins, P. G. UNSPECIFIED UNSPECIFIED UNSPECIFIED Van Assche, A. UNSPECIFIED UNSPECIFIED UNSPECIFIED Telli, M. UNSPECIFIED UNSPECIFIED UNSPECIFIED Huys, G. UNSPECIFIED UNSPECIFIED UNSPECIFIED Lievens, B. UNSPECIFIED UNSPECIFIED UNSPECIFIED Seifert, H. UNSPECIFIED UNSPECIFIED UNSPECIFIED Dijkshoorn, L. UNSPECIFIED UNSPECIFIED UNSPECIFIED Roca, I. UNSPECIFIED UNSPECIFIED UNSPECIFIED Vila, Jordi UNSPECIFIED orcid.org/0000-0002-8025-3926 UNSPECIFIED
URN:	urn:nbn:de:hbz:38-238875
DOI:	10.1016/j.culher.2016.11.020
Journal or Publication Title:	Clin. Microbiol. Infect.
Volume:	23
Number:	3
Date:	2017
Publisher:	ELSEVIER SCI LTD
Place of Publication:	OXFORD
ISSN:	1469-0691
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language MASS-SPECTROMETRY; CLINICAL SPECIMENS; SP NOV.; CALCOACETICUS; COMPLEX; NOSOCOMIALIS; MS; PITTII; MEMBER Multiple languages Infectious Diseases; Microbiology Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/23887