Identification of Leishmania by matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry using a free web-based application and a dedicated mass-spectral library

Laurence Lachaud, Anna Fernández-Arévalo, Anne Cécile Norman, Patrick Lami, Cécile Nabet, Jean Luc Donnadieu, Martine Piarroux, Farid Djenad, Carole Cassagne, Christophe Ravel, Silvia Tebar, Teresa Llovet, Denis Blanchet, Magalie Demar, Zoubir Harrat, Karim Aoun, Patrick Bastien, Carmen Muñoz, Montserrat Gállego, Renaud Piarroux

Research output: Contribution to journalArticleResearchpeer-review

15 Citations (Scopus)

Abstract

© 2017 American Society for Microbiology. All Rights Reserved. Human leishmaniases are widespread diseases with different clinical forms caused by about 20 species within the Leishmania genus. Leishmania species identification is relevant for therapeutic management and prognosis, especially for cutaneous and mucocutaneous forms. Several methods are available to identify Leishmania species from culture, but they have not been standardized for the majority of the currently described species, with the exception of multilocus enzyme electrophoresis. Moreover, these techniques are expensive, time-consuming, and not available in all laboratories. Within the last decade, mass spectrometry (MS) has been adapted for the identification of microorganisms, including Leishmania. However, no commercial reference mass-spectral database is available. In this study, a reference mass-spectral library (MSL) for Leishmania isolates, accessible through a free Webbased application (mass-spectral identification [MSI]), was constructed and tested. It includes mass-spectral data for 33 different Leishmania species, including species that infect humans, animals, and phlebotomine vectors. Four laboratories on two continents evaluated the performance of MSI using 268 samples, 231 of which were Leishmania strains. All Leishmania strains, but one, were correctly identified at least to the complex level. A risk of species misidentification within the Leishmania donovani, L. guyanensis, and L. braziliensis complexes was observed, as previously reported for other techniques. The tested application was reliable, with identification results being comparable to those obtained with reference methods but with a more favorable cost-efficiency ratio. This free online identification system relies on a scalable database and can be implemented directly in users' computers.
Original languageEnglish
Pages (from-to)2924-2933
JournalJournal of Clinical Microbiology
Volume55
Issue number10
DOIs
Publication statusPublished - 1 Oct 2017

Keywords

  • Database
  • Identification online
  • Leishmania
  • MALDI-TOF

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