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Updated: Sep 17, 2025

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3
Published on: December 27, 2010
Insights to a Cure: Unique Controller Phenotypes in the Rotterdam HIV-2 Cohort
Kathryn S Hensley1,2, Rob A Gruters3, Els van Nood1,2
1Department of Internal Medicine, Section Infectious Diseases, Erasmus University Medical Centre, Rotterdam, Netherlands.
Background:
HIV-2, although less common than HIV-1, exhibits a higher proportion of elite controllers (ECs), who can suppress HIV without antiretroviral therapy (ART), a phenomenon rarely observed in HIV-1. Studying ECs could yield insights into viral control mechanisms and potentially lead to a cure.
Methods:
We retrospectively characterized a cohort of people with HIV-2 who received care at the Erasmus University Medical Center, Rotterdam, Netherlands. The aim was to identify categories of ECs based on plasma viral loads, CD4+ T-cell count, and responses to ART.
Results:
Between 1989 and 2023, 52 people with HIV-2 were included, primarily of West African origin (80.8%). Follow-up ranged from <1 to 32 years (median, 16 years). Seven participants were lost to follow-up (13.5.%), and 18 participants died (34.6%), 7 before ART availability due to AIDS. The remaining 40 participants were included in the detailed analysis. Thirteen were ECs with CD4+ T cells >350 cells/mm3 and viral loads <200 copies/mL without use of ART. Four participants progressed to CD4+ T cells <350 cells/mm3 without symptoms of HIV despite undetectable viral loads (nonviremic progressors). Three individuals demonstrated EC status for at least 5 years but lost viral and immunologic control. Nineteen participants exhibited a classical phenotype of viremic progression. Five participants had HIV-1 and HIV-2. Finally, 1 participant had a unique phenotype with loss of control with an unexplained rebound in viremia, followed by resuppression without ART for >10 years (recontroller).
Conclusions:
These data highlight relevant trajectories among ECs. Understanding the underlying mechanisms can inform decisions on treatment and contribute to finding a cure for all people with HIV.
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