Fusarium, clinical relevance and mass spectometry methods for identification: using strains of the Belgian fungal culture collection BCCM/IHEM

David Triest

Research output: ThesisPhD Thesis

Abstract

A correct identification of mold species causing human infections is of the utmost importance since treatment may differ depending on the infecting species. However, this is still a challenge in the current clinical practice, relying upon a morphological examination of acultured isolate.
In the first part of this PhD the focus was on Fusarium, a mold genus causing a wide variety of opportunistic human infections. In order to study the clinically relevant species diversity, the more than 300 Fusarium strains in the Belgian fungal culture collection BCCM/IHEM, mostly isolated from patients, were re-identified by multilocus DNA marker sequencing and phylogeny. The remaining
289 validated strains, comprising 40 different species, were of great value: (i) Analysis of the strain information revealed a species, i.e. Fusarium musae, of which it was not yet known that it caused human infections. (ii) A new species, closely related to Fusarium, was described, i.e. Pseudofusicolla biseptata. (iii) In vitro antifungal susceptibility testing was performed on the Fusarium dataset showing the importance of a correct species (complex) identification. (iv) The
Fusarium dataset was used to prove the feasibility of the MALDI-TOF mass spectrometry identification as opposed to the, often difficult, morphological identification.
In the second part of this PhD the focus was on the development of a new identification method for mold infections which is directly applicable on clinical samples and relies upon the detection ofspecies- and genus-specific peptides using tandem massspectrometry. Candidate peptides were selected according to a mass spectrometry based proteomics study. Accurate genus identification
of Fusarium and species identification of Aspergillus BCCM/IHEM collection material was possible and the new method was optimizedfor the analysis of clinical samples.
Original languageEnglish
QualificationDoctor in Medical Sciences
Awarding Institution
  • Vrije Universiteit Brussel
Supervisors/Advisors
  • Pierard, Denis, Supervisor
  • Hendrickx, Marijke, Supervisor, External person
  • De Cremer, Koen, Supervisor, External person
Award date18 Dec 2015
Place of PublicationBrussel
Publisher
Publication statusPublished - 2015

Keywords

  • fusarium species
  • mass spectormetry

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