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Updated: Sep 9, 2026

Amplifying and Quantifying HIV-1 RNA in HIV Infected Individuals with Viral Loads Below the Limit of Detection by Standard Clinical Assays
Published on: September 26, 2011
VRC01 exerted differential pressure on HIV-1 Env from subtypes B and C that continued in the first weeks
Hongjun Bai1,2, Michal Juraska3, Craig A Magaret3
1U.S. Military HIV Research Program, Walter Reed Army Institute of Research; Silver Spring, MD, USA.
Background:
The Antibody Mediated Prevention trials (HVTN 703 and HVTN 704) demonstrated that infusions of the bnAb VRC01 prevented HIV-1 acquisition with viruses sensitive to VRC01 neutralization. We evaluated how VRC01 epitope distances differed across groups in the trials.
Methods:
We calculated VRC01 epitope distances (a 3D structure informed measure of how the VRC01 epitope in a sequence differs from that epitope in known VRC01 sensitive strains) to compare >35,000 Envelopes sampled from 172 participants with mostly subtype C viruses in HVTN 703 and subtype B in HVTN 704.
Results:
At the first visit with detectable HIV-1, we found fewer distinct VRC01 epitopes in the sequences from participants in the VRC01 high-dose group in HVTN 704 (p=0.054), suggesting that some epitope variants were blocked in these participants who harbored subtype B viruses. In both trials, VRC01 epitope distances were significantly larger in the VRC01 high-dose groups than in the placebo groups (p≤0.010). Moreover, sequences sampled in the first month after diagnosis showed that the rate of change in VRC01 epitope distances was significantly higher in the VRC01 groups than in the placebo in the HVTN 703 trial (p≤0.036).
Conclusions:
These findings show the impact of sieve acquisition (variants blocked among subtype B viruses) and post-acquisition (stronger impact of VRC01-mediated escape in subtype C) effects, highlighting a complex intersection between HIV-1 subtypes, escape pathways and antibody-mediated prevention. The differential pressure exerted by VRC01 on subtype B vs. C viruses emphasizes that escape pathways need to be considered when selecting bnAbs for clinical trials.
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