Multi-omics Signature of Candida auris, an Emerging and Multidrug-Resistant Pathogen

Daniel Zamith-Miranda1,2, Heino M Heyman3, Levi G Cleare1,2

  • 1Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York, USA.

Msystems
|June 13, 2019
PubMed

Insights

This study reveals significant molecular differences between Candida auris and Candida albicans, highlighting unique carbon utilization and metabolic pathways in C. auris that contribute to its drug resistance and virulence. These findings aid in combating this emerging fungal pathogen.

Area of Science:

  • Medical Mycology
  • Infectious Diseases
  • Genomics

Background:

  • * Candida auris is an emerging multidrug-resistant fungal pathogen causing global outbreaks.
  • * Its diagnosis remains challenging, potentially underestimating its spread.
  • * Mechanisms of virulence and antifungal resistance in C. auris are largely unknown.

Purpose of the Study:

  • * To compare the molecular profiles of two clinical Candida auris isolates with distinct drug susceptibility profiles against Candida albicans.
  • * To elucidate the molecular mechanisms underlying C. auris's drug resistance and virulence.
  • * To provide data for combating this rapidly emerging pathogenic yeast.

Main Methods:

  • * Utilized a multi-omics approach to analyze two clinical C. auris isolates and one C. albicans reference strain.
  • * Compared carbon utilization, lipid, and protein content between the species.

Main Results:

  • * Both C. auris isolates showed remarkable similarity despite differing drug resistance profiles.
  • * Significant differences in carbon utilization, lipid, and protein content were observed between C. auris and C. albicans.
  • * These molecular distinctions suggest a multifactorial basis for C. auris's drug resistance and virulence.

Conclusions:

  • * The molecular profile of C. auris significantly differs from C. albicans.
  • * Understanding these omic differences is crucial for explaining C. auris's antifungal resistance and virulence.
  • * The generated data will enhance strategies to combat C. auris infections.

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