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Clinical and Vaccine Immunology, September 2008, p. 1410-1413, Vol. 15, No. 9
1071-412X/08/$08.00+0 doi:10.1128/CVI.00082-08
Copyright © 2008, American Society for Microbiology. All Rights Reserved.

Division of Clinical Microbiology, Department of Laboratory Medicine and Pathology, Mayo Clinic, and Mayo Clinic College of Medicine, Rochester, Minnesota 55905
Received 3 March 2008/ Returned for modification 22 April 2008/ Accepted 3 July 2008
Conventional methods for the detection of Epstein-Barr virus (EBV)-specific antibodies include the immunofluorescence assay (IFA) and enzyme immunoassay (EIA). While sensitive and specific, these methods are labor-intensive and require separate assays for each analyte. This study evaluated the performance of a multiplex bead assay (BioPlex 2200; Bio-Rad Laboratories, Hercules, CA) for the simultaneous detection of immunoglobulin G (IgG) and IgM class antibodies to the EBV viral capsid antigen (VCA) and IgG class antibodies to Epstein-Barr virus nuclear antigen-1 (EBNA-1). Serum specimens (n = 1,315) submitted for routine EBV-specific antibody testing by EIA (Grifols-Quest, Inc., Miami, FL) were also tested by the multiplex bead assay using the BioPlex 2200 automated analyzer. Specimens showing discordant results were tested by IFA. Following IFA resolution, the BioPlex VCA IgM, VCA IgG, and EBNA-1 IgG assays demonstrated 97.9%, 91.4%, and 96.9% agreement, respectively, with the results obtained by EIA. Furthermore, the BioPlex assays showed an overall agreement of 94.1% with the EIA when the specimens were categorized by disease state (susceptible, acute, or past infection) based on the EBV-specific antibody profiles. These findings indicate that the BioPlex EBV assays demonstrate a performance comparable to that of the conventional EIA, while allowing for a more rapid (2.3 h for 100 samples versus 4.5 h by the EIA) and higher-throughput (
400 samples per 9 h versus 200 samples by the EIA) analysis of the EBV-specific antibody response.
Published ahead of print on 16 July 2008.
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