Literature DB >> 29346085

Performance of the BioPlex 2200 HIV Ag-Ab assay for identifying acute HIV infection.

Susan H Eshleman1, Estelle Piwowar-Manning2, Mariya V Sivay3, Barbara Debevec4, Stephanie Veater5, Laura McKinstry6, Linda-Gail Bekker7, Sharon Mannheimer8, Robert M Grant9, Margaret A Chesney10, Thomas J Coates11, Beryl A Koblin12, Jessica M Fogel13.   

Abstract

BACKGROUND: Assays that detect HIV antigen (Ag) and antibody (Ab) can be used to screen for HIV infection.
OBJECTIVES: To compare the performance of the BioPlex 2200 HIV Ag-Ab assay and two other Ag/Ab combination assays for detection of acute HIV infection. STUDY
DESIGN: Samples were obtained from 24 individuals (18 from the US, 6 from South Africa); these individuals were classified as having acute infection based on the following criteria: positive qualitative RNA assay; two negative rapid tests; negative discriminatory test. The samples were tested with the BioPlex assay, the ARCHITECT HIV Ag/Ab Combo test, the Bio-Rad GS HIV Combo Ag-Ab EIA test, and a viral load assay.
RESULTS: Twelve (50.0%) of 24 samples had RNA detected only ( > 40 to 13,476 copies/mL). Ten (43.5%) samples had reactive results with all three Ag/Ab assays, one sample was reactive with the ARCHITECT and Bio-Rad assays, and one sample was reactive with the Bio-Rad and BioPlex assays. The 11 samples that were reactive with the BioPlex assay had viral loads from 83,010 to >750,000 copies/mL; 9/11 samples were classified as Ag positive/Ab negative by the BioPlex assay.
CONCLUSIONS: Detection of acute HIV infection was similar for the BioPlex assay and two other Ag/Ab assays. All three tests were less sensitive than a qualitative RNA assay and only detected HIV Ag when the viral load was high. The BioPlex assay detected acute infection in about half of the cases, and identified most of those infections as Ag positive/Ab negative.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Acute; Ag/Ab assay; BioPlex; HIV

Mesh:

Substances:

Year:  2018        PMID: 29346085      PMCID: PMC5807223          DOI: 10.1016/j.jcv.2018.01.003

Source DB:  PubMed          Journal:  J Clin Virol        ISSN: 1386-6532            Impact factor:   3.168


  15 in total

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Authors:  Susan H Eshleman; Leila Khaki; Oliver Laeyendecker; Estelle Piwowar-Manning; LeTanya Johnson-Lewis; Marla Husnik; Beryl Koblin; Thomas Coates; Margaret Chesney; Ana Vallari; Sushil G Devare; John Hackett
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Journal:  PLoS One       Date:  2009-11-06       Impact factor: 3.240

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