[Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry vs conventional methods in the identification of Candida non-albicans]

Abstract

Introduction: Candida infection has become a major health problem worldwide. The epidemiology of Candidaemia has substantially changed by the emergence of the species Candida non-albicans. This variation is particularly important in the choice of prophylaxis and empirical treatment. The methods based on biochemical and molecular biology have limitations for the correct identification of Candida species. The aim of this study is to demonstrate the ability of the MALDI-TOF mass spectrometry for the identification of these species and compare it with the technology used today.

Methods: We included all isolates collected over 2 years (n=73) of Candida non-albicans from non-invasive samples. The identification was carried out by Vitek-2 systems YST and API CAUX. The MALDI-TOF identifications were made with Confidence Axima system (Shimadzu Corporation) using the Shimadzu Launchpad software and database SARAMIS (AnagnosTec GmbH). Discrepancies were resolved by SeptiFast LightCycler multiplex PCR, specific PCR C. glabrata and enzymatic digestion with BanI SADH fragment in isolates of C. parapsilosis.

Results: Of the 73 isolates of Candida non-albicans, the biochemical methods conclusively identified 67 to species level and 6 at the genus level. The MALDI-TOF system obtained identifications at the species level in all cases. The correlation in the species of all isolates studied was 85.07%, reaching 94.52% when the correlation was made between the identification obtained by biochemical methods and the methods for the analysis of the discrepancies. In isolates of C. parapsilosis, MALDI-TOF system obtained an identification of C. orthopsilosis. In 3 of them it was confirmed by digestion with BanI SADH fragment.

Conclusion: This study has demonstrated the use of mass spectrometry (MALDI-TOF system) to provide the microbiology laboratory with greater efficiency and reliability to identify isolates of Candida non-albicans to species level. It also shows its potential usefulness in identifying related species, such as C. parapsilosis, metapsilosis and orthopsilosis.