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Update on Non-Culture-Based Diagnostics for Invasive Fungal Disease.
Yan, Gabriel; Chew, Ka Lip; Chai, Louis Yi Ann.
Affiliation
  • Yan G; Division of Microbiology, Department of Laboratory Medicine, National University Health System, Singapore, Singapore.
  • Chew KL; Division of Infectious Diseases, University Medicine Cluster, National University Health System, NUHS Tower Block, 1E Kent Ridge Road, Singapore, 119228, Singapore.
  • Chai LYA; Division of Microbiology, Department of Laboratory Medicine, National University Health System, Singapore, Singapore.
Mycopathologia ; 186(5): 575-582, 2021 Oct.
Article in En | MEDLINE | ID: mdl-34213735
ABSTRACT
Diagnostic tests for fungi provide the mycological evidence to strengthen diagnosis of invasive fungal disease. Conventional microbiology and histopathology have their limitations. Recognizing this, there have been attempts at developing new methods to improve yield of diagnosing invasive fungal disease (IFD). The recent focus has been on non-culture-based antigen detection and molecular methods. The use of antigen detection of IFD through 1,3-ß-D-glucan and galactomannan assay have been expanded, followed by development of lateral flow assays, and in combination with other diagnostic modalities to further increase diagnostic yield. The molecular diagnostic front has seen initiatives to standardize polymerase chain reaction methodologies to detect fungi and anti-fungal resistance, new platforms such as the T2Candida Biosystems and foray into fungal metagenomics. As these newer assays undergo stringent validation before incorporation into the diagnostic algorithm, the clinician needs to be mindful of their bedside utility as well as their limitation.
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Full text: 1 Database: MEDLINE Main subject: Beta-Glucans / Invasive Fungal Infections Type of study: Diagnostic_studies Limits: Humans Language: En Year: 2021 Type: Article

Full text: 1 Database: MEDLINE Main subject: Beta-Glucans / Invasive Fungal Infections Type of study: Diagnostic_studies Limits: Humans Language: En Year: 2021 Type: Article