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An update on current and novel molecular diagnostics for the diagnosis of invasive fungal infections.
Jenks, Jeffrey D; White, P Lewis; Kidd, Sarah E; Goshia, Tyler; Fraley, Stephanie I; Hoenigl, Martin; Thompson, George R.
Afiliação
  • Jenks JD; Durham County Department of Public Health, Durham, North Carolina, USA.
  • White PL; Division of Infectious Diseases, Department of Medicine, Duke University, Durham, North Carolina, USA.
  • Kidd SE; Public Health Wales Microbiology Cardiff, UHW, United Kingdom and Centre for trials research/Division of Infection/Immunity, Cardiff University, Cardiff, UK.
  • Goshia T; National Mycology Reference Centre, SA Pathology, Adelaide, Australia.
  • Fraley SI; School of Biological Sciences, Faculty of Sciences, University of Adelaide, Adelaide, Australia.
  • Hoenigl M; Department of Bioengineering, University of California, San Diego, CA, USA.
  • Thompson GR; Department of Bioengineering, University of California, San Diego, CA, USA.
Expert Rev Mol Diagn ; 23(12): 1135-1152, 2023.
Article em En | MEDLINE | ID: mdl-37801397
BACKGROUND: Invasive fungal infections cause millions of infections annually, but diagnosis remains challenging. There is an increased need for low-cost, easy to use, highly sensitive and specific molecular assays that can differentiate between colonized and pathogenic organisms from different clinical specimens. AREAS COVERED: We reviewed the literature evaluating the current state of molecular diagnostics for invasive fungal infections, focusing on current and novel molecular tests such as polymerase chain reaction (PCR), digital PCR, high-resolution melt (HRM), and metagenomics/next generation sequencing (mNGS). EXPERT OPINION: PCR is highly sensitive and specific, although performance can be impacted by prior/concurrent antifungal use. PCR assays can identify mutations associated with antifungal resistance, non-Aspergillus mold infections, and infections from endemic fungi. HRM is a rapid and highly sensitive diagnostic modality that can identify a wide range of fungal pathogens, including down to the species level, but multiplex assays are limited and HRM is currently unavailable in most healthcare settings, although universal HRM is working to overcome this limitation. mNGS offers a promising approach for rapid and hypothesis-free diagnosis of a wide range of fungal pathogens, although some drawbacks include limited access, variable performance across platforms, the expertise and costs associated with this method, and long turnaround times in real-world settings.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Fúngicas Invasivas / Micoses Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Infecções Fúngicas Invasivas / Micoses Idioma: En Ano de publicação: 2023 Tipo de documento: Article