dc.contributor.author
Murugaiyan, Jayaseelan
dc.contributor.author
Lewin, Astrid
dc.contributor.author
Kamal, Elisabeth
dc.contributor.author
Bakuła, Zofia
dc.contributor.author
Ingen, Jakko van
dc.contributor.author
Ulmann, Vit
dc.contributor.author
Unzaga Barañano, Miren J.
dc.contributor.author
Humięcka, Joanna
dc.contributor.author
Safianowska, Aleksandra
dc.contributor.author
Roesler, Uwe H.
dc.contributor.author
Jagielski, Tomasz
dc.date.accessioned
2018-06-08T10:42:08Z
dc.date.available
2018-04-13T10:08:02.277Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/20904
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-24203
dc.description.abstract
Mycobacterium kansasii is an emerging non-tuberculous mycobacterial (NTM)
pathogen capable of causing severe lung disease. Of the seven currently
recognized M. kansasii genotypes (I-VII), genotypes I and II are most
prevalent and have been associated with human disease, whereas the other five
(III-VII) genotypes are predominantly of environmental origin and are believed
to be non-pathogenic. Subtyping of M. kansasii serves as a valuable tool to
guide clinicians in pursuing diagnosis and to initiate the proper timely
treatment. Most of the previous rapid diagnostic tests for mycobacteria
employing the matrix-assisted laser desorption/ionization time-of-flight mass
spectrometry (MALDI-TOF MS) technology focused on species-level
identification. The purpose of this study was to establish MALDI-TOF MS
reference spectra database for discrimination of M. kansasii at the genotype
level. A panel of 32 strains, representatives of M. kansasii genotypes I-VI
were selected, whole cell proteins extracted and measured with MALDI-TOF MS. A
unique main spectra (MSP) library was created using MALDI Biotyper Compass
Explorer software. The spectra reproducibility was assessed by computing
composite correlation index and MSPs cross-matching. One hundred clinical M.
kansasii isolates used for testing of the database resulted in 90%
identification at genus-level, 7% identification at species-level and 2%
identification was below the threshold of log score value 1.7, of which all
were correct at genotype level. One strain could not be identified. On the
other hand, 37% of strains were identified at species level, 40% at genus
level and 23% was not identified with the manufacturer's database. The MALDI-
TOF MS was proven a rapid and robust tool to detect and differentiate between
M. kansasii genotypes. It is concluded that MALDI-TOF MS has a potential to be
incorporated into the routine diagnostic workflow of M. kansasii and possibly
other NTM species.
en
dc.format.extent
10 Seiten
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
matrix-assisted laser desorption ionization-time of flight mass spectrometry
dc.subject
Mycobacterium kansasii
dc.subject.ddc
500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::579 Mikroorganismen, Pilze, Algen
dc.title
MALDI Spectra Database for Rapid Discrimination and Subtyping of Mycobacterium
kansasii
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation
Frontiers in Microbiology 9 (2018), Art. 587
dcterms.bibliographicCitation.doi
10.3389/fmicb.2018.00587
dcterms.bibliographicCitation.url
http://dx.doi.org/10.3389/fmicb.2018.00587
refubium.affiliation
Veterinärmedizin
de
refubium.affiliation.other
Institut für Tier- und Umwelthygiene

refubium.funding
Frontiers
refubium.funding
Institutional Participation
refubium.mycore.fudocsId
FUDOCS_document_000000029571
refubium.note.author
Der Artikel wurde in einer reinen Open-Access-Zeitschrift publiziert.
refubium.resourceType.isindependentpub
no
refubium.mycore.derivateId
FUDOCS_derivate_000000009625
dcterms.accessRights.openaire
open access
dcterms.isPartOf.issn
1664-302X