MALDI-TOF MS: the proteomic approach, the future of fungal identification in India

Mallika Fonseca; Sarala Menon; Praveen Rahi; Prachi Patekar; Abhay S. Chowdhary

doi:10.18203/2320-6012.ijrms20202898

Authors

Mallika Fonseca Department of Microbiology, Grant Government Medical College and Sir J. J. group of Hospitals, Mumbai, Maharashtra, India
Sarala Menon Department of Microbiology, Grant Government Medical College and Sir J. J. group of Hospitals, Mumbai, Maharashtra, India
Praveen Rahi Department of Microbiology, National Centre for Microbial Resource, National Centre for Cell Science, Pune, Maharashtra, India
Prachi Patekar Department of Microbiology, Grant Government Medical College and Sir J. J. group of Hospitals, Mumbai, Maharashtra, India
Abhay S. Chowdhary Department of Microbiology, Grant Government Medical College and Sir J. J. group of Hospitals, Mumbai, Maharashtra, India

DOI:

https://doi.org/10.18203/2320-6012.ijrms20202898

Keywords:

Mycoses diagnosis, Mycological typing techniques, Molecular diagnostic techniques, Mass spectrometry, Matrix assisted laser desorption-ionization

Abstract

Background: India, being a country where fungal infections are rampant, is urgently in need of effective tools for early and accurate diagnosis of fungal infections. Matrix-assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF-MS) is a recent method which has shown potential in identifying clinically important bacterial pathogens as well as clinically important fungi. The main objective of this study was to compare the utility of MALDI-TOF MS for the identification of fungi against that of conventional methods.

Methods: The project was carried out in a tertiary care government hospital in India. Fifty clinical isolates comprising mainly various yeast species were subjected to conventional identification (Phenotypic) as well as MALDI-TOF-MS. Their results were further compared.

Results: MALDI-TOF MS showed a high concordance with conventional methods while identifying species like C. albicans, C. tropicalis, C. parapsilosis and C. neoformans, although the concordance for species such as Rhodotorula and Trichosporon could only be matched up to genus level.

Conclusions: MALDI-TOF MS-based identification is both a rapid and a viable tool for identification of clinically relevant yeast species with good correlation to conventional methods and a quick turnaround time.

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