| Autor: |
Mragnayani Pandey, Immaculata Xess, Janya Sachdev, Usha Yadav, Gagandeep Singh, Dibyabhaba Pradhan, Ashit Bhushan Xess, Bhaskar Rana, Lalit Dar, Sameer Bakhshi, Rachna Seth, Manoranjan Mahapatra, Viveka P. Jyotsna, Arun Kumar Jain, Rakesh Kumar, Reshu Agarwal, Prashant Mani |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Frontiers in Fungal Biology, Vol 2 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2673-6128 |
| DOI: |
10.3389/ffunb.2021.800898 |
| Popis: |
Molecular diagnostic assays can expedite the diagnosis of fungal infections, and subsequently help in early interventions and appropriate management of patients. The aim of this study was to develop a single set of primers for a real-time quantitative polymerase chain reaction (qPCR) assay to detect and identify commonly reported, clinically relevant molds i.e., Aspergillus spp, Mucorales and Fusarium spp., up to genus level by melting curve analysis. This assay was evaluated in whole blood from patients with suspected invasive aspergillosis (IA), and in tissue biopsy, bronchoalveolar lavage (BAL) fluid and other site-specific samples from patients with suspected invasive mucormycosis (IM). The limit of detection (LoD) was determined as 10 copies/μl for all three molds. The mean coefficient of variation (CV) across all sets of intra- and inter-assay data was 0.63% (ranging from 0.42 to 1.56%), showing high reproducibility of the assay. Sensitivity and specificity of the assay were 93.3 and 97.1% respectively for diagnosis of IA, and 99.29 and 83.84% respectively for diagnosis of IM. Fusarium was not detected in any of the clinical samples included and the few laboratory confirmed cases of fusariosis did not meet the inclusion criteria of the study. Hence no ROC curve or cutoff value could be generated for the same. This newly developed qPCR assay therefore appears to be a promising tool in detection of IA and IM. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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