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KMID : 0545120140240081044
Journal of Microbiology and Biotechnology
2014 Volume.24 No. 8 p.1044 ~ p.1050
Evaluation of Galactomannan Enzyme Immunoassay and Quantitative Real-Time PCR for the Diagnosis of Invasive Pulmonary Aspergillosis in a Rat Model
Jian-cong Lin

Yan-li Xing
Wen-ming Xu
Ming Li
Pang Bo
Yuan-yuan Niu
Chang-ran Zhang
Abstract
Since there is no consensus about the most reliable assays to detect invasive aspergillosis from samples obtained by minimally invasive or noninvasive methods, we compared the efficacy of an enzyme-linked immunosorbent assay (ELISA) for galactomannan (GM) detection and quantitative real-time PCR assay (qRT-PCR) for the diagnosis of invasive pulmonary aspergillosis. Neutropenic, male Sprague-Dawley rats (specific pathogen free; 8 weeks old; weight, 200 ¡¾ 20 g) were immunosuppressed with cyclophosphamide and infected with Aspergillus fumigatus intratracheally. Tissue and whole blood samples were harvested on days 1, 3, 5, and 7 post-infection and examined with GM ELISA and qRT-PCR. The A. fumigatus DNA detection sequence was detected in the following number of samples from 12 immunosuppressed, infected rats examined on the scheduled days: day 1 (0/12), day 3 (0/12), day 5 (6/12), and day 7 (8/12) post-infection. The sensitivity and specificity of the qRT-PCR assay was 29.2% and 100%, respectively. Receiver operating characteristic curve (ROC) analysis indicated a Ct (cycle threshold) cut-off value of 15.35, and the area under the curve (AUC) was 0.627. The GM assay detected antigen in sera obtained on day 1 (5/12), day 3 (9/ 12), day 5 (12/12), and day 7 (12/12) post-infection, and thus had a sensitivity of 79.2% and a specificity of 100%. The ROC of the GM assay indicated that the optimal Ct cut-off value was 1.40 (AUC, 0.919). The GM assay was more sensitive than the qRT-PCR assay in diagnosing invasive pulmonary aspergillosis in rats.
KEYWORD
Invasive pulmonary aspergillosis, Aspergillus, galactomannan antigen, Quantitative real-time PCR, Receiver operating characteristic curve, rat model
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