Recent trends in molecular diagnostics of yeast infections: from PCR to NGS

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  • dc.contributor.author Consortium OPATHY
  • dc.contributor.author Gabaldón Estevan, Juan Antonio, 1973-
  • dc.date.accessioned 2020-03-20T07:46:29Z
  • dc.date.available 2020-03-20T07:46:29Z
  • dc.date.issued 2019
  • dc.description.abstract The incidence of opportunistic yeast infections in humans has been increasing over recent years. These infections are difficult to treat and diagnose, in part due to the large number and broad diversity of species that can underlie the infection. In addition, resistance to one or several antifungal drugs in infecting strains is increasingly being reported, severely limiting therapeutic options and showcasing the need for rapid detection of the infecting agent and its drug susceptibility profile. Current methods for species and resistance identification lack satisfactory sensitivity and specificity, and often require prior culturing of the infecting agent, which delays diagnosis. Recently developed high-throughput technologies such as next generation sequencing or proteomics are opening completely new avenues for more sensitive, accurate and fast diagnosis of yeast pathogens. These approaches are the focus of intensive research, but translation into the clinics requires overcoming important challenges. In this review, we provide an overview of existing and recently emerged approaches that can be used in the identification of yeast pathogens and their drug resistance profiles. Throughout the text we highlight the advantages and disadvantages of each methodology and discuss the most promising developments in their path from bench to bedside.
  • dc.description.sponsorship This work was supported by European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. H2020-MSCA-ITN-2014–642 095.
  • dc.format.mimetype application/pdf
  • dc.identifier.citation Consortium OPATHY, Gabaldón T. Recent trends in molecular diagnostics of yeast infections: from PCR to NGS. FEMS Microbiol Rev. 2019; 43(5):517-47. DOI: 10.1093/femsre/fuz015
  • dc.identifier.doi http://dx.doi.org/10.1093/femsre/fuz015
  • dc.identifier.issn 0168-6445
  • dc.identifier.uri http://hdl.handle.net/10230/43968
  • dc.language.iso eng
  • dc.publisher Oxford University Press
  • dc.relation.ispartof FEMS Microbiol Rev. 2019; 43(5):517-47
  • dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/642095
  • dc.rights © FEMS 2019. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
  • dc.rights.accessRights info:eu-repo/semantics/openAccess
  • dc.rights.uri http://creativecommons.org/licenses/by-nc/4.0/
  • dc.subject.keyword Candida
  • dc.subject.keyword Candidemia
  • dc.subject.keyword Diagnosis
  • dc.subject.keyword Proteomics
  • dc.subject.keyword Sequencing
  • dc.subject.keyword Yeast pathogens
  • dc.title Recent trends in molecular diagnostics of yeast infections: from PCR to NGS
  • dc.type info:eu-repo/semantics/article
  • dc.type.version info:eu-repo/semantics/publishedVersion