Evidence map›Paper›PMID 40501793›Full record

ArticlebioRxiv : the preprint server for biology2025

The Immunophenotype and Proviral Landscape of HIV-infected CD4 T Cells During Antiretroviral Therapy.

Cyrille L Delley, Sakshi Shah, Kevin M Joslin, Yujung P Park, Benjamin Demaree, Michael P Busch, Mars Stone, Steven G Deeks, Eli A Boritz, Adam R Abate and 1 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Cyrille L DelleyDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0002-3599-5701
Sakshi ShahDepartment of Bioengineering, University of California, Berkeley, California Institute for Quantitative Biosciences, Berkeley, California, USA.ORCID 0000-0002-8378-7253
Kevin M JoslinDepartment of Bioengineering, University of California, Berkeley, California Institute for Quantitative Biosciences, Berkeley, California, USA.ORCID 0009-0004-5098-0024
Yujung P ParkDepartment of Bioengineering, University of California, Berkeley, California Institute for Quantitative Biosciences, Berkeley, California, USA.ORCID 0009-0002-5747-0604
Benjamin DemareeDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0003-2278-6633
Michael P BuschVitalant Research Institute, San Francisco, California, USA.ORCID 0000-0002-1446-125X
Mars StoneVitalant Research Institute, San Francisco, California, USA.ORCID 0000-0001-5619-2767
Steven G DeeksDepartment of Medicine, University of California San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0001-6371-747X
Eli A BoritzVirus Persistence and Dynamics Section, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0003-4633-4594
Adam R AbateDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0001-9614-4831
Iain C ClarkDepartment of Bioengineering, University of California, Berkeley, California Institute for Quantitative Biosciences, Berkeley, California, USA.ORCID 0000-0001-9082-0253

Funding

HIV persistence in vivoZIAAI005131 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI BORITZ, ELI · 2017 to 2025
$14.5M
Sorting and Sequencing Latent Reservoirs in HIV+ Opioid UsersR01DA059551 · NIDA · J. DAVID GLADSTONE INSTITUTES · PI Adam R. Abate, Iain Clark · 2023 to 2026
$6.3M
Single Cell Transcriptomic and Epigenetic Analysis of CD4 T Cells Harboring Latent HIV during Antiretroviral TherapyK22AI152644 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI CLARK, IAIN · 2021 to 2022
$264k
Gates Foundation INV-008500Intramural NIH HHS ZIA AI005131NIAID NIH HHS K22 AI152644NIDA NIH HHS R01 DA059551
6 · The paper itself

Abstract

In individuals on effective antiretroviral therapy, integrated HIV proviruses persist within CD4 T cells, forming a viral reservoir that rebounds if treatment is stopped. Identifying and targeting these rare, infected cells is critical for advancing therapies, but methods to study reservoir cells are limited and their unique properties remain largely unknown. We applied DAb-seq, a high-throughput method that combines single-cell DNA and surface protein sequencing, to profile over five hundred and twenty thousand CD4 T cells from the blood of six individuals on ART. Infected cells were unequally distributed in T cell subsets, and differential protein expression between infected and uninfected cells revealed significant heterogeneity across cell subsets. Attempts to identify surface markers that differentiate infected from uninfected cells found antigens that mirrored the enrichment of HIV in central memory subsets. However, while central memory T cells harbored the majority of HIV, cells with intact provirus were enriched relative to their defective counterparts in Naïve and Regulatory T cell subsets, suggesting that they differentially maintain intact proviruses. In summary, we developed DAb-seq as an open-source platform for linking the proviral landscape to diverse cellular phenotypes, revealing heterogeneity in surface protein expression and provirus maintenance across infected subsets.

Identifiers

PMID40501793
PMCPMC12157356

What OpenQuestion holds

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Registered trials

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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.