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. 2004 May;42(5):2306-9.
doi: 10.1128/JCM.42.5.2306-2309.2004.

Detection of specific antibodies to severe acute respiratory syndrome (SARS) coronavirus nucleocapsid protein for serodiagnosis of SARS coronavirus pneumonia

Patrick C Y Woo  1 , Susanna K P Lau, Beatrice H L Wong, Hoi-wah Tsoi, Ami M Y Fung, Kwok-hung Chan, Victoria K P Tam, J S Malik Peiris, Kwok-yung Yuen
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Detection of specific antibodies to severe acute respiratory syndrome (SARS) coronavirus nucleocapsid protein for serodiagnosis of SARS coronavirus pneumonia

Patrick C Y Woo et al. J Clin Microbiol. 2004 May.

Abstract

We report the evaluation of recombinant severe acute respiratory syndrome (SARS) coronavirus (SARS-CoV) nucleocapsid protein enzyme-linked immunosorbent assay (ELISA)-based antibody tests for serodiagnosis of SARS-CoV pneumonia and compare the sensitivities and specificities of this ELISA for detection of immunoglobulin G (IgG), IgM, IgA, and their combinations with serum samples from 149 healthy blood donors who donated blood 3 years ago as controls and 106 SARS-CoV pneumonia patients in Hong Kong. The specificities of the ELISA for IgG, IgM, and IgA detection were 95.3, 96.6, and 96.6%, respectively, with corresponding sensitivities of 94.3, 59.4, and 60.4%, respectively. The present ELISA appears to be a sensitive test for serodiagnosis of SARS-CoV pneumonia, is much more economical and less labor-intensive than the indirect immunofluorescence assay, and does not require cultivation of SARS-CoV.

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Figures

FIG. 1.
FIG. 1.
Evaluation of sensitivity and specificity of recombinant nucleocapsid protein-based IgM (A) and IgA (B) antibody ELISA for SARS-CoV pneumonia. Serum specimens were obtained from 106 patients with SARS-CoV pneumonia, and control serum specimens were obtained from 149 healthy blood donors. The test results were plotted as OD450. The cutoff line for positive diagnosis is drawn at a value that equals the sum of the mean value and two times the standard deviation for the healthy blood donors.
See this image and copyright information in PMC

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