Evidence map›Paper›PMID 40638066›Full record

ReviewCurrent opinion in HIV and AIDS2025

Current insight into HIV-1 persistence from single-cell transcriptome profiling in acutely treated cohorts of infection.

Lakshmi Rani Iyer, Rasmi Thomas

Abstract readReview
In one paragraph

Review in Current opinion in HIV and AIDS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Lakshmi Rani IyerLaboratory of Integrative Multiomics, U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring.
Rasmi ThomasLaboratory of Integrative Multiomics, U.S. Military HIV Research Program, Walter Reed Army Institute of Research, Silver Spring.

Funding

I4C 2.0: Immunotherapy for CureUM1AI164556 · NIAID · BETH ISRAEL DEACONESS MEDICAL CENTER · PI Dan H. Barouch, John W Mellors · 2021 to 2026
$28.0M
NIAID NIH HHS UM1 AI164556
6 · The paper itself

Abstract

purpose of reviewAntiretroviral therapy is effective in controlling viral load, but there is immediate rebound of virus when treatment is interrupted. This is due to a reservoir of cells harboring HIV which evades immune surveillance and persists in the host. In this review we discuss research leveraging single-cell transcriptomics to examine single-cells from people living with HIV in vivo that can provide insight into these reservoir cells. RECENT

findingsAdvancements in the field of multiomics, specifically single-cell RNA-sequencing (scRNA-seq), have enabled the profiling of hundreds of thousands of single cells and characterized the heterogeneity of cells in people with HIV. Studies in cohorts of people treated during acute HIV-1 infection have revealed longitudinal changes in immune responses during early infection, discovered novel restriction and latency factors, and identified markers of the cells with virus and the reservoir size. SUMMARY: Single-cell transcriptomics is a powerful technology that screens the entire transcriptome of an individual cell. When used strategically to investigate samples from cohorts of acute HIV-1 infection, this unbiased omics tool can shed light on the elusive HIV-1 reservoir and unlock strategies for cure.

Indexed as

Gene Expression ProfilingHIV-1HIV InfectionsSingle-Cell AnalysisHumansTranscriptomeViral Loadacute HIV-1 infectionmultiomicsreservoir sizerestriction factorscRNA-seqtranscriptomics

Identifiers

PMID40638066
PMCPMC12266646

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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.