Evidence map›Paper›PMID 37665978›Full record

ReviewThe Journal of infectious diseases2024

Measuring Human Immunodeficiency Virus Reservoirs: Do We Need to Choose Between Quantity and Quality?

Hélène Roux, Nicolas Chomont

Abstract readReview
In one paragraph

Review in The Journal of infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. HCV-specific CD4EBioMedicine · 2026
    Article
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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.

Hélène RouxDépartement de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montreal, Quebec, Canada.
Nicolas ChomontDépartement de Microbiologie, Infectiologie et Immunologie, Université de Montréal, Montreal, Quebec, Canada.ORCID 0000-0001-9747-5018

Funding

Delaney AIDS Research Enterprise to Cure HIVUM1AI164560 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI STEVEN Grant DEEKS, Sharon Ruth Lewin · 2021 to 2026
$32.0M
NIAID NIH HHS UM1 AI164560
6 · The paper itself

Abstract

The persistence of latent viral genomes in people receiving antiretroviral therapy (ART) is the main obstacle to a cure for human immunodeficiency virus (HIV) infection. Viral reservoirs can be defined as cells harboring HIV genomes that have the ability to produce infectious virions. Precise quantification of the cellular reservoirs of HIV is challenging because these cells are rare, heterogeneous, and outnumbered by a larger number of cells carrying defective genomes. In addition, measuring the inducibility of these proviruses requires functional assays and remains technically difficult. The recent development of single-cell and single-viral genome approaches revealed additional layers of complexity: the cell subsets that harbor proviruses are heterogeneous and their ability to be induced is variable. A substantial fraction of intact HIV genomes may be permanently silenced after years of ART, revealing the underappreciated importance of induction assays. As such, a simple approach that would assess simultaneously the genetic intactness and the inducibility of the reservoir is still lacking. In this study, we review recent advances in the development of methods to quantify and characterize persistently infected cells, and we discuss how these findings can inform the design of future assays aimed at measuring the size of the intact and inducible HIV reservoir.

Indexed as

HIVHIV InfectionsAnti-Retroviral AgentsCD4-Positive T-LymphocytesHumansProvirusesViral LoadVirus LatencyAnti-Retroviral AgentsHIV DNAHIV reservoirinducibilityintact genomesviral rebound

Identifiers

PMID37665978
PMCPMC10938203

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.