Optimization of MALDI-ToF mass spectrometry for yeast identification: a multicenter study

Author:

Normand Anne-Cécile1,Gabriel Frédéric2,Riat Arnaud3,Cassagne Carole4,Bourgeois Nathalie5,Huguenin Antoine67,Chauvin Pamela8,De Geyter Deborah9,Bexkens Michiel10,Rubio Elisa11ORCID,Hendrickx Marijke12,Ranque Stéphane3,Piarroux Renaud113

Affiliation:

1. Laboratoire de Parasitologie-Mycologie, de Parasitologie-Mycologie Hôpital Pitié Salpêtrière, 75013 Paris, France

2. Mycologie, CHU de Bordeaux, Groupe Hospitalier Pellegrin, place Amélie Raba-Léon, 33000 Bordeaux, France

3. Bacteriology Laboratory, Service of Laboratory Medicine, Department of Genetics, Laboratory Medicine and Pathology, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, 1205 Geneva, Switzerland

4. Aix Marseille University, IRD, AP-HM, SSA, VITROME, IHU Méditerranée Infection, 13006 Marseille, France

5. CHU de Montpellier, 34090 Montpellier, France

6. EA 7510, ESCAPE, Laboratoire de Parasitologie-Mycologie, Université de Reims Champagne-Ardenne, 51100 Reims, France

7. Laboratoire de Parasitologie Mycologie, CHU de Reims Hôpital Maison Blanche, 51100 Reims, France

8. Service de Parasitologie-Mycologie, Hôpital Purpan, 31059 Toulouse, France

9. Department Microbiology and Infection Prevention, Universitair Ziekenhuis Brussel (UZ Brussel), Vrije Universiteit Brussel (VUB), Laarbeeklaan 101, 1090 Brussels, Belgium

10. Department of Medical Microbiology and Infectious Diseases, Erasmus MC, ’s-Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands

11. Department of Clinical Microbiology, Hospital Clinic, 08036 Barcelona, Spain

12. Sciensano, BCCM/IHEM collection, Mycology and Aerobiology Unit, 1050 Brussels, Belgium

13. Sorbonne Université, INSERM, Institut Pierre-Louis d'Epidémiologie et de Santé Publique, AP-HP, Hôpital Pitié-Salpêtrière, F-75013 Paris, France

Abstract

Abstract Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-ToF MS) is routinely used in mycology laboratories to rapidly identify pathogenic yeasts. Various methods have been proposed to perform routine MS-based identification of clinically relevant species. In this study, we focused on Bruker technology and assessed the identification performance of three protocols: two pretreatment methods (rapid formic acid extraction directly performed on targets and full extraction using formic acid/acetonitrile in tubes) and a direct deposit protocol that omits the extraction step. We also examined identification performance using three target types (ground-steel, polished-steel, and biotargets) and two databases (Bruker and online MSI [biological-mass-spectrometry-identification application]) in a multicenter manner. Ten European centers participated in the study, in which a total of 1511 yeast isolates were analyzed. The 10 centers prospectively performed the three protocols on approximately 150 yeast isolates each, and the corresponding spectra were then assessed against two reference spectra databases (MSI and Bruker), with appropriate thresholds. Three centers evaluated the impact of the targets. Scores were compared between the various combinations, and identification accuracy was assessed. The protocol omitting the extraction step was inappropriate for yeast identification, while the full extraction method yielded far better results. Rapid formic acid extraction yielded variable results depending on the target, database and threshold. Selecting the optimal extraction method in combination with the appropriate target, database and threshold may enable simple and accurate identification of clinically relevant yeast samples. Concerning the widely used polished-steel targets, the full extraction method still ensured better scores and better identification rates.

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,General Medicine

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