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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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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. |
format | Online Article Text |
id | pubmed-8755904 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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