Evidence map›Paper›PMID 23803414›Full record

ReviewRetrovirology2013

HIV-1 transcription and latency: an update.

Carine Van Lint, Sophie Bouchat, Alessandro Marcello

Open access · goldAbstract readReview
In one paragraph

Review in Retrovirology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers.

0numbers the graph read from it
0cells of the map it votes in
187citing papers in PubMed
16.6field-weighted citation impact, top 1% of its field
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

187 citing papers in PubMed, 326 citations in OpenAlex.

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  3. Traditional Medicine Extracts ofInternational journal of molecular sciences · 2026
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127 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 2 countries.

Carine Van LintUniversité Libre de Bruxelles (ULB), Service of Molecular Virology, Institute of Molecular Biology and Medicine, 12, Rue des Profs Jeener et Brachet, 6041, Gosselies, Belgium. cvlint@ulb.ac.be
Sophie Bouchat
Alessandro Marcello
Université Libre de Bruxelles · BEInternational Centre for Genetic Engineering and Biotechnology · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combination antiretroviral therapy, despite being potent and life-prolonging, is not curative and does not eradicate HIV-1 infection since interruption of treatment inevitably results in a rapid rebound of viremia. Reactivation of latently infected cells harboring transcriptionally silent but replication-competent proviruses is a potential source of persistent residual viremia in cART-treated patients. Although multiple reservoirs may exist, the persistence of resting CD4+ T cells carrying a latent infection represents a major barrier to eradication. In this review, we will discuss the latest reports on the molecular mechanisms that may regulate HIV-1 latency at the transcriptional level, including transcriptional interference, the role of cellular factors, chromatin organization and epigenetic modifications, the viral Tat trans-activator and its cellular cofactors. Since latency mechanisms may also operate at the post-transcriptional level, we will consider inhibition of nuclear RNA export and inhibition of translation by microRNAs as potential barriers to HIV-1 gene expression. Finally, we will review the therapeutic approaches and clinical studies aimed at achieving either a sterilizing cure or a functional cure of HIV-1 infection, with a special emphasis on the most recent pharmacological strategies to reactivate the latent viruses and decrease the pool of viral reservoirs.

Indexed as

Transcription, GeneticVirus LatencyGene Expression Regulation, ViralHIV-1Host-Pathogen InteractionsHumans

Identifiers

PMID23803414
PMCPMC3699421
OpenAlexW2128009957

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.