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A Multiplex HIV Incidence Assay for Inferring Recent HIV-1 Transmission and Time of Infection.

Authors :
Curtis KA
Campbell EM
Hanson DL
Rudolph DL
Duwve J
J Blosser S
Gentry J
Lovchik J
Peters PJ
Owen SM
Switzer WM
Source :
Journal of acquired immune deficiency syndromes (1999) [J Acquir Immune Defic Syndr] 2019 Apr 01; Vol. 80 (4), pp. 454-460.
Publication Year :
2019

Abstract

Background: Laboratory assays for determining recent HIV-1 infection are an important public health tool for aiding in the estimation of HIV incidence. Some incidence assay analytes are remarkably predictive of time since seroconversion and may be useful for additional applications, such as predicting recent transmission events during HIV outbreaks and informing prevention strategies.<br />Methods: Plasma samples (n = 154) from a recent HIV-1 outbreak in a rural community in Indiana were tested with the customized HIV-1 Multiplex assay, based on the Bio-Rad Bio-Plex platform, which measures antibody response to HIV envelope antigens, gp120, gp160, and gp41. Assay cutoffs for each analyte were established to determine whether an individual seroconverted within 30, 60, or 90 days of the sample collection date. In addition, a novel bioinformatics method was implemented to infer infection dates of persons newly diagnosed with HIV during the outbreak.<br />Results: Sensitivity/specificity of the HIV-1 Multiplex assay for predicting seroconversion within 30, 60, and 90 days, based on a training data set, was 90.5%/95.4%, 94.1%/90%, and 89.4%/82.9%, respectively. Of 154 new diagnoses in Indiana between December 2014 and August 2016, the majority (71%) of recent infections (≤3 months since seroconversion) were identified between February and May 2016. The epidemiologic curve derived from the bioinformatics analysis indicated HIV transmission began as early as 2010, grew exponentially in 2014, and leveled off in April 2015.<br />Conclusions: The HIV-1 Multiplex assay has the potential to identify and monitor trends in recent infection during an epidemic to assess the efficacy of programmatic or treatment interventions.

Details

Language :
English
ISSN :
1944-7884
Volume :
80
Issue :
4
Database :
MEDLINE
Journal :
Journal of acquired immune deficiency syndromes (1999)
Publication Type :
Academic Journal
Accession number :
30624297
Full Text :
https://doi.org/10.1097/QAI.0000000000001937