MALDI-TOF MS Overcomes Misidentification of the Uncommon Human Pathogen Candida famata by Routine Phenotypic Identification Methods

Abstract

Candida famata has been associated with the identifiable Candida infections that takes place in human and the identification error of this species possibly will result in misinterpretation of antifungal susceptibility and improper diagnosis; which will have a major effect on the prognosis and therapy of patients. Our objective is to correctly identify Candida spp. collected from patients at the intensive care units, New Cairo University teaching hospital in Cairo-Egypt using matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS). Hundred clinically isolated yeast strains were identified using API 20C AUX obtained from patients receiving care at intensive care units. ATB FUNGUS 3 strips were used to detect the minimum inhibitory concentration. Thirty-three non duplicate strains identified as C. famata were subjected to re-identification by MALDI-TOF MS. Our results revealed that isolates were initially identified as C. famata 33%, C. tropicalis 15%, C. albicans 12% and C. parapsillosis 10% using the phenotypic techniques. MALDI-TOF MS analyses results showed that the 33 C. famata isolates are C. tropicalis (n = 29), Trichosporon asahii (n = 2), C. parapsilosis (n = 1), and Aeromonas sobria (n = 1). Antifungal resistance was low in the Candida species, except for reduced susceptibility to itraconazole among C. krusei strains. This report shows that misidentification of C. famata is frequent when using conventional phenotypic methods of identification which result in challenges in treating fungal infections. MALDI-TOF MS is an accurate convenient substitute to classical approaches for fungal identification. In general, antifungal multidrug resistance is uncommon in our studied Candida species and yeast isolates.