ArticleiScience2023
Targeted plasma proteomics identifies MICA and IL1R1 proteins associated with HIV-1 reservoir size.
Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 2 citations in OpenAlex.
- Modulation of pulmonary IL-21 expression during latent TB and M. tuberculosis/SIV coinfection.JCI insight · 2026Article
- HIV controllers: hope for a functional cure.Frontiers in immunology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 5 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
HIV-1 reservoir shows high variability in size and activity among virally suppressed individuals. Differences in the size of the viral reservoir may relate to differences in plasma protein concentrations. We tested whether plasma protein expression levels are associated with levels of cell-associated (CA) HIV-1 DNA and RNA in 211 virally suppressed people living with HIV (PLHIV). Plasma concentrations of FOLR1, IL1R1, MICA, and FETUB showed a positive association with CA HIV-1 RNA and DNA. Moreover, SNPs in close proximity to
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Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.