All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

MALDI Spectra Database for Rapid Discrimination and Subtyping of Mycobacterium kansasii

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F71009396%3A_____%2F18%3AN0000010" target="_blank" >RIV/71009396:_____/18:N0000010 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893902/pdf/fmicb-09-00587.pdf" target="_blank" >https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5893902/pdf/fmicb-09-00587.pdf</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.3389/fmicb.2018.00587" target="_blank" >10.3389/fmicb.2018.00587</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    MALDI Spectra Database for Rapid Discrimination and Subtyping of Mycobacterium kansasii

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30302 - Epidemiology

Result continuities

  • Project

  • Continuities

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    FRONTIERS IN MICROBIOLOGY

  • ISSN

    1664-302X

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    587

  • Country of publishing house

    CH - SWITZERLAND

  • Number of pages

    10

  • Pages from-to

    eCollection

  • UT code for WoS article

    000429027100001

  • EID of the result in the Scopus database