What 'Omics can tell us about antifungal adaptation

FEMS Yeast Res. 2022 Jan 11;21(8):foab070. doi: 10.1093/femsyr/foab070.

Abstract

Invasive candidiasis, the most frequent healthcare-associated invasive fungal infection, is commonly caused by Candida albicans. However, in recent years other antifungal-resistant Candida species-namely Candida glabrata and Candidaauris-have emerged as a serious matter of concern. Much of our understanding of the mechanisms regulating antifungal resistance and tolerance relies on studies utilizing C. albicans, C. glabrataand the model yeast Saccharomyces cerevisiae. 'Omics studies have been used to describe alterations in metabolic, genomic and transcriptomic expression profiles upon antifungal treatment of fungal cells. The physiological changes identified by these approaches could significantly affect fungal fitness in the host and survival during antifungal challenge, as well as provide further understanding of clinical resistance. Thus, this review aims to comparatively address 'omics data for C. albicans, C. glabrata andS. cerevisiae published from 2000 to 2021 to identify what these technologies can tell us regarding cellular responses to antifungal therapy. We will also highlight possible effects on pathogen survival and identify future avenues for antifungal research.

Keywords: Candida albicans; Candida glabrata; Saccharomyces cerevisiae; 'Omics; antifungals; resistance.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Antifungal Agents* / pharmacology
  • Candida albicans / genetics
  • Candida glabrata / genetics
  • Candidiasis*
  • Drug Resistance, Fungal
  • Humans
  • Microbial Sensitivity Tests

Substances

  • Antifungal Agents