Dataset Information

PCR-based diagnosis of human fungal infections.

ABSTRACT: PCR is a very appealing technology for the detection of human pathogens, but the detection of fungal pathogens is particularly challenging. Fungi have cell walls that impede the efficient lysis of organisms and liberation of DNA, which can lead to false-negative PCR results. Conversely, some human pathogens are also ubiquitous environmental saprophytes that can contaminate PCR reagents and cause false-positive results. We examine the quality of PCR-based studies for fungal diagnostics using 42 variables within the Minimum Information for Publication of Quantitative Real-Time PCR Experiments guidelines. This review focuses on taxon-directed PCR assays for the diagnosis of invasive aspergillosis, candidiasis and Pneumocystis pneumonia. Finally, we evaluate broad-range fungal PCR assays capable of detecting a wide spectrum of human pathogens.

SUBMITTER: Khot PD

PROVIDER: S-EPMC2845394 | biostudies-literature | 2009 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

PCR-based diagnosis of human fungal infections.

Khot Prasanna D PD Fredricks David N DN

Expert review of anti-infective therapy 20091201 10

PCR is a very appealing technology for the detection of human pathogens, but the detection of fungal pathogens is particularly challenging. Fungi have cell walls that impede the efficient lysis of organisms and liberation of DNA, which can lead to false-negative PCR results. Conversely, some human pathogens are also ubiquitous environmental saprophytes that can contaminate PCR reagents and cause false-positive results. We examine the quality of PCR-based studies for fungal diagnostics using 42 v ...[more]

PMID: 19968513

Similar Datasets

Project description:We recently developed a mass spectrometry (MS) procedure based on the detection of a serum disaccharide (MS-DS) in patients with invasive candidiasis (IC). Here, we compare the performance of MS-DS for the diagnosis of IC, invasive aspergillosis (IA), and mucormycosis (MM) with those of commercially available antigen detection tests. This retrospective study included 48 patients (23 IC patients [74 serum samples], 15 IA patients [40 serum samples], and 10 MM patients [15 serum samples]) and 49 appropriate controls (102 serum samples). MS-DS, mannan (Mnn), galactomannan (GM), and (1,3)-?-d-glucan (BDG) were detected by matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) MS, Platelia, and Fungitell assays, respectively. For IC, the sensitivity and specificity of the MS-DS index, BDG detection, and Mnn detection were 62% and 84%, 82% and 60%, and 33% and 94% per serum sample and 83% and 69%, 96% and 31%, and 39% and 86% per patient, respectively. For IA, the corresponding values in comparison to BDG and GM detection were 83% and 81%, 62% and 95%, and 62% and 100% per serum sample and 93% and 76%, 87% and 90%, and 93% and 100% per patient, respectively. Nine of the 10 MM patients had a positive MS-DS result. MS-DS gave an early diagnosis in IC (73% positivity before blood culture), IA (positive before GM detection in six patients), and MM (positivity mainly preceded the date of diagnosis) patients. For IC, persisting MS-DS was associated with a poor prognosis. The different biomarkers were rarely detected simultaneously, suggesting different kinetics of release and clearance. For IA, MS-DS provided better complementation to GM monitoring than BDG monitoring. MS-DS detects panfungal molecules circulating during invasive fungal infections. The performance of MS-DS compared favorably with those of biological tests currently recommended for monitoring at-risk patients. Further validation of this test in multicenter studies is required.

Dataset Information

PCR-based diagnosis of human fungal infections.

Publications

PCR-based diagnosis of human fungal infections.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets