Distribution of Pathogenic Yeasts in Different Clinical Samples: Their Identification, Antifungal Susceptibility

Satish T Pote1,2, Mahesh S Sonawane1, Praveen Rahi1

  • 1National Centre for Microbial Resource (NCMR), National Centre for Cell Science, NCCS Complex, S.P. Pune University, Pune 411 007, Maharashtra, India.

Abstract

Insights

DNA sequencing of the 28S rRNA gene accurately identified clinical yeast isolates, outperforming MALDI-TOF MS. This study highlights increasing antifungal resistance and the emergence of opportunistic Candida pathogens.

Area of Science:

  • Medical Mycology
  • Clinical Microbiology
  • Molecular Diagnostics

Background:

  • Candida species are common human microbiota, with some acting as opportunistic pathogens.
  • Biofilm formation, antifungal resistance, and asymptomatic infections necessitate further Candida research.
  • Accurate identification and characterization of Candida from clinical samples are crucial.

Purpose of the Study:

  • To evaluate and compare DNA sequencing, MALDI-TOF MS, and chromogenic media for identifying clinical yeast isolates.
  • To characterize the antifungal susceptibility and in vitro cell invasion capabilities of isolated Candida species.
  • To assess the prevalence and characteristics of Candida species in Indian clinical samples.

Main Methods:

  • DNA sequencing of the 28S rRNA gene for yeast identification.
  • Matrix-Assisted Laser Desorption/Ionization-Time of Flight Mass Spectrometry (MALDI-TOF MS) for protein profiling.
  • Chromogenic media for colony coloration and preliminary identification.
  • Antifungal susceptibility testing against azoles and nystatin.
  • In vitro epithelial cell invasion assays using HeLa cells.

Main Results:

  • DNA sequencing achieved >99.4% accurate species-level identification, surpassing MALDI-TOF MS (89%).
  • Seventeen Candida species were identified from 176 clinical isolates, with Candida albicans (42.61%) being most prevalent, followed by C. tropicalis (28.40%) and C. glabrata (12.5%).
  • Most isolates exhibited azole resistance (7-48% susceptibility), while nystatin showed higher efficacy (75% susceptibility). C. albicans demonstrated greater epithelial cell invasion than non-albicans species.

Conclusions:

  • 28S rRNA gene sequencing is a superior method for identifying clinical yeast isolates compared to MALDI-TOF MS.
  • There is a discernible shift towards emerging opportunistic pathogens among clinical Candida isolates.
  • The study underscores the importance of accurate identification, rising antifungal resistance, and epithelial cell invasion as a virulence factor in clinical yeast isolates from India.