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Evaluation of a Multiplex Assay for Estimation of HIV-1 Incidence

Overview of attention for article published in PLOS ONE, May 2013
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Title
Evaluation of a Multiplex Assay for Estimation of HIV-1 Incidence
Published in
PLOS ONE, May 2013
DOI 10.1371/journal.pone.0064201
Pubmed ID
Authors

Kelly A. Curtis, Debra L. Hanson, M. Susan Kennedy, S. Michele Owen

Abstract

Accurate methods of estimating HIV-1 incidence are critical for monitoring the status of the epidemic and the impact of prevention strategies. Although several laboratory-based tests have been developed strictly for this purpose, several limitations exist and improved methods or technologies are needed. We sought to further optimize a previously described bead-based, HIV-1-specific multiplex assay with the capability of measuring multiple immune responses for determining recent infection. We refined the customized HIV-1 Bio-Plex assay by determining cutoffs and mean durations of recency (MDR), based on the reactivity to longitudinal seroconversion specimens (n = 1347) from 311 ART-naïve, HIV-1-infected subjects. False-recent rates (FRRs) were calculated for various long-term cohorts, including AIDS patients, individuals on ART, and subtype C specimens. Incidence was estimated for each individual assay analyte from a simulated population with a known incidence of 1%. For improved incidence estimates, multi-analyte algorithms based on combinations of 3 to 6 analytes were evaluated and compared to the performance of each individual analyte. The MDR for the six analytes varied from 164.2 to 279.4 days, while the multi-analyte algorithm MDRs were less variable with a minimum and maximum value of 228.4 and 277.9 days, respectively. The FRRs for the 7 multi-analyte algorithms evaluated in this study varied from 0.3% to 3.1%, in a population of ART-naïve, long-term individuals. All algorithms yielded improved incidence estimates as compared to the individual analytes, predicting an incidence of 0.95% to 1.02%. The HIV-specific multiplex assay described here measures several distinct immune responses in a single assay, allowing for the consideration of multi-analyte algorithms for improved HIV incidence estimates.

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Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 3%
Brazil 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 28%
Student > Ph. D. Student 7 18%
Other 3 8%
Student > Doctoral Student 2 5%
Student > Bachelor 2 5%
Other 7 18%
Unknown 8 20%
Readers by discipline Count As %
Medicine and Dentistry 10 25%
Biochemistry, Genetics and Molecular Biology 4 10%
Mathematics 3 8%
Agricultural and Biological Sciences 3 8%
Chemical Engineering 1 3%
Other 6 15%
Unknown 13 33%