Literature DB >> 28884671

Detection of fungal pathogens by a new broad range real-time PCR assay targeting the fungal ITS2 region.

Iris Zeller1, Claudia Schabereiter-Gurtner1,2, Verena Mihalits1, Brigitte Selitsch1, Wolfgang Barousch1, Alexander M Hirschl1, Athanasios Makristathis1, Birgit Willinger1.   

Abstract

PURPOSE: The rise in the incidence of fungal infections and the expanding spectrum of fungal pathogens make early and broad detection of fungal pathogens essential. In the present study, a panfungal real-time PCR assay for the broad-range detection of fungal DNA (Fungi assay) in a wide variety of clinical specimens was developed.
METHODOLOGY: Our in-house, HybProbe real-time PCR assay targets the ITS2 region of fungal DNA. The applicability was evaluated by testing 105 clinical samples from 98 patients with suspected fungal infection. Samples included tissue biopsies, paraffin embedded tissues, aspirates, EDTA-anticoagulated blood, cerebrospinal fluids and bronchoalveolar lavages.
RESULTS: Fungal pathogens were identified by the Fungi assay in 47 samples. In all of these cases, conventional methods and clinical data were also indicative for a fungal infection. Five samples were interpreted false negative. blast analyses of the amplicons derived from 11 samples revealed the presence of environmental fungal species while other tests and clinical data did not suggest a fungal infection. This fact might indicate contaminated samples. The remaining 42 samples were negative by the Fungi assay as well as the conventional methods and were therefore regarded as true negatives. Thus, sensitivity was 90.4 % and specificity 79.2 %.
CONCLUSION: The Fungi assay improved the targeted diagnosis of fungal infections allowing pathogen identification in samples that were histologically positive but culture negative. For reliable diagnosis, results have to be interpreted in context with conventional methods and clinical data.

Entities:  

Keywords:  ITS2; broad-range; fungal infections; real-time PCR

Mesh:

Substances:

Year:  2017        PMID: 28884671     DOI: 10.1099/jmm.0.000575

Source DB:  PubMed          Journal:  J Med Microbiol        ISSN: 0022-2615            Impact factor:   2.472


  8 in total

1.  Optimization of a Quantitative PCR Methodology for Detection of Aspergillus spp. and Rhizopus arrhizus.

Authors:  Alexandre Mendonça; Joana Carvalho-Pereira; Ricardo Franco-Duarte; Paula Sampaio
Journal:  Mol Diagn Ther       Date:  2022-06-16       Impact factor: 4.476

2.  Development of a Real-Time PCR Assay to Identify and Distinguish between Cryptococcus neoformans and Cryptococcus gattii Species Complexes.

Authors:  Enoch Tay; Sharon C-A Chen; Wendy Green; Ronald Lopez; Catriona L Halliday
Journal:  J Fungi (Basel)       Date:  2022-04-29

Review 3.  zzm321990 Scedosporium and Lomentospora Infections: Contemporary Microbiological Tools for the Diagnosis of Invasive Disease.

Authors:  Sharon C-A Chen; Catriona L Halliday; Martin Hoenigl; Oliver A Cornely; Wieland Meyer
Journal:  J Fungi (Basel)       Date:  2021-01-04

Review 4.  The Evolving Landscape of Fungal Diagnostics, Current and Emerging Microbiological Approaches.

Authors:  Zoe Freeman Weiss; Armando Leon; Sophia Koo
Journal:  J Fungi (Basel)       Date:  2021-02-09

Review 5.  Fungal infections diagnosis - Past, present and future.

Authors:  Alexandre Mendonça; Helena Santos; Ricardo Franco-Duarte; Paula Sampaio
Journal:  Res Microbiol       Date:  2021-12-01       Impact factor: 3.946

6.  Identification of Filamentous Fungi by MALDI-TOF Mass Spectrometry: Evaluation of Three Different Sample Preparation Methods and Validation of an In-House Species Cutoff.

Authors:  Claudia Honsig; Brigitte Selitsch; Marlene Hollenstein; Matthias G Vossen; Kathrin Spettel; Birgit Willinger
Journal:  J Fungi (Basel)       Date:  2022-04-10

7.  Development and evaluation of a novel fast broad-range PCR and sequencing assay (FBR-PCR/S) using dual priming oligonucleotides targeting the ITS/LSU gene regions for rapid diagnosis of invasive fungal diseases: multi-year experience in a large Canadian healthcare zone.

Authors:  B Chow; M Groeschel; J Carson; T Griener; D L Church
Journal:  BMC Infect Dis       Date:  2022-04-13       Impact factor: 3.090

8.  Evaluation of 11 DNA Automated Extraction Protocols for the Detection of the 5 Mains Candida Species from Artificially Spiked Blood.

Authors:  Estelle Menu; Jordi Landier; Elsa Prudent; Stéphane Ranque; Coralie L'Ollivier
Journal:  J Fungi (Basel)       Date:  2021-03-19
  8 in total

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