ArticleNature communications2026
Longitudinal plasma proteomic signatures of elite and viremic spontaneous HIV controllers.
Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Is the molecular microenvironment of the latent HIV reservoir predictable using deep learning approaches?Journal of virology · 2026Review
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Authors and funding
21 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A small percentage of people living with HIV (PLHIV) spontaneously regulate viral replication without suppressive antiretroviral treatment (ART) and are categorized into 'elite controllers' (EC, HIV-RNA < 50 c/mL) and 'viremic controllers' (VC, HIV-RNA between 50-10,000 c/ml). Some EC and VC may lose controller status in time. Here we provide extensive plasma proteomics to identify biomarkers and pathways related to spontaneous viral control and its long-term preservation among 36 EC and 147 VC (discovery) and 14 EC and 5 VC (validation). VC exhibited higher concentrations of CRTAM, LY9, and CD6 and lower concentrations of VAT1 compared to EC in both the discovery and validation cohort. Longitudinal analysis of pre- and post-ART samples (median follow-up: 5.3 years) revealed downregulation of various immune-related proteins in both EC and VC. Over a 17-year follow-up period, loss of viral control occurred in 31% of VC and 3% of EC. T-cell associated proteins (CRTAM, LY9, CD6), along with ICAM3, SH2D1A, C1QL2, and CNGB3, predicted loss of viral control years before its occurrence. Markers of chronic immune activation (sPD-L1, sCD25, IL-10, TGF-β, IFN-γ, and TNF-α) and systemic inflammation (TNF, IL-1β, IL-6, and sCD14) were not predictive. Our findings underscore the dynamic interplay between T cell function and viral replication in maintaining HIV control and identify key biomarkers that predict viral load surges.
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