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Published on: June 23, 2011
Development of two avidity-based assays to detect recent HIV type 1 seroconversion using a multisubtype gp41
Xierong Wei1, Xin Liu, Trudy Dobbs
1Centers for Disease Control and Prevention, Atlanta, Georgia 30333, USA.
AIDS Research and Human Retroviruses
|January 13, 2010
Summary
New assays using a recombinant protein (rIDR-M) can accurately detect recent HIV-1 infections across diverse subtypes. These methods improve upon current limitations for estimating HIV incidence globally.
Area of Science:
- Virology
- Immunology
- Epidemiology
Background:
- Current laboratory methods for detecting recent HIV-1 infections have limitations in performance across different subtypes and populations.
- Accurate estimation of HIV incidence requires sensitive and specific methods for identifying recent infections.
Purpose of the Study:
- To develop and evaluate novel assays for detecting recent HIV-1 infections using a newly engineered recombinant protein, rIDR-M.
- To assess the performance of rIDR-M in distinguishing recent from long-term HIV-1 infections across various subtypes.
Main Methods:
- Development of a recombinant protein (rIDR-M) targeting conserved regions of HIV-1 gp41 from major subtypes.
- Utilization of rIDR-M in two assay formats: a two-well avidity index assay (AI-EIA) and a one-well limiting antigen avidity assay (LAg-avidity EIA).
- Inclusion of a pH 3.0 dissociation buffer to enhance detection of low-avidity antibodies indicative of recent infection.
Main Results:
- The rIDR-M protein demonstrated reactivity with HIV antibodies across diverse subtypes.
- Both AI-EIA and LAg-avidity EIA formats efficiently distinguished recent from long-term HIV-1 infections in a seroincidence panel.
- The one-well LAg-avidity EIA with dissociation buffer showed the most efficient detection of recent infections.
Conclusions:
- Avidity-based assays employing the rIDR-M antigen offer improved accuracy for detecting recent HIV-1 infections.
- These novel assays have the potential to enhance the estimation of HIV incidence in populations with diverse HIV-1 subtypes.
- The developed methods address limitations of current incidence assays, paving the way for better HIV surveillance.

