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What ‘Omics can tell us about antifungal adaptation

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 under...

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Detalles Bibliográficos
Autores principales: Ribeiro, Gabriela Fior, Denes, Eszter, Heaney, Helen, Childers, Delma S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755904/
https://www.ncbi.nlm.nih.gov/pubmed/34958354
http://dx.doi.org/10.1093/femsyr/foab070
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author Ribeiro, Gabriela Fior
Denes, Eszter
Heaney, Helen
Childers, Delma S
author_facet Ribeiro, Gabriela Fior
Denes, Eszter
Heaney, Helen
Childers, Delma S
author_sort Ribeiro, Gabriela Fior
collection PubMed
description 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.
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spelling pubmed-87559042022-01-13 What ‘Omics can tell us about antifungal adaptation Ribeiro, Gabriela Fior Denes, Eszter Heaney, Helen Childers, Delma S FEMS Yeast Res Minireview 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. Oxford University Press 2021-12-27 /pmc/articles/PMC8755904/ /pubmed/34958354 http://dx.doi.org/10.1093/femsyr/foab070 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of FEMS. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Minireview
Ribeiro, Gabriela Fior
Denes, Eszter
Heaney, Helen
Childers, Delma S
What ‘Omics can tell us about antifungal adaptation
title What ‘Omics can tell us about antifungal adaptation
title_full What ‘Omics can tell us about antifungal adaptation
title_fullStr What ‘Omics can tell us about antifungal adaptation
title_full_unstemmed What ‘Omics can tell us about antifungal adaptation
title_short What ‘Omics can tell us about antifungal adaptation
title_sort what ‘omics can tell us about antifungal adaptation
topic Minireview
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8755904/
https://www.ncbi.nlm.nih.gov/pubmed/34958354
http://dx.doi.org/10.1093/femsyr/foab070
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