Evidence map›Paper›PMID 20357084›Full record

ArticleJournal of virology2010

Combinatorial latency reactivation for HIV-1 subtypes and variants.

John C Burnett, Kwang-Il Lim, Arash Calafi, John J Rossi, David V Schaffer, Adam P Arkin

Abstract read
In one paragraph

Article in Journal of virology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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

73 citing papers in PubMed, 1 synthesis or guideline pooled it, 103 citations in OpenAlex.

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13 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

6 authors at 2 institutions in 1 country.

John C BurnettDepartment of Chemical Engineering and Helen Wills Neuroscience Institute, University of California, Berkeley, California 94720, USA.
Kwang-Il Lim
Arash Calafi
John J Rossi
David V Schaffer
Adam P Arkin
University of California, Berkeley · USBeckman Research Institute

Funding

Enhancing the Intracellular Functioning of HIV RibozymesR37AI029329 · NIAID · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI ROSSI, JOHN JOSEPH · 2002 to 2011
$6.7M
Stochastic Gene Expression Effects in a Model RetrovirusR01GM073058 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI ARKIN, ADAM P, SCHAFFER, DAVID V · 2005 to 2014
$2.3M
NIAID NIH HHS R37 AI029329NIGMS NIH HHS R01 GM073058NIGMS NIH HHS R01-GM73058
6 · The paper itself

Abstract

The eradication of HIV-1 will likely require novel clinical approaches to purge the reservoir of latently infected cells from a patient. We hypothesize that this therapy should target a wide range of latent integration sites, act effectively against viral variants that have acquired mutations in their promoter regions, and function across multiple HIV-1 subtypes. By using primary CD4(+) and Jurkat cell-based in vitro HIV-1 latency models, we observe that single-agent latency reactivation therapy is ineffective against most HIV-1 subtypes. However, we demonstrate that the combination of two clinically promising drugs-namely, prostratin and suberoylanilide hydroxamic acid (SAHA)-overcomes the limitations of single-agent approaches and can act synergistically for many HIV-1 subtypes, including A, B, C, D, and F. Finally, by identifying the proviral integration position of latent Jurkat cell clones, we demonstrate that this drug combination does not significantly enhance the expression of endogenous genes nearest to the proviral integration site, indicating that its effects may be selective.

Indexed as

Virus ActivationVirus LatencyAnti-HIV AgentsCD4-Positive T-LymphocytesCell LineHIV-1HIV InfectionsHumansMutationAnti-HIV Agents

Identifiers

PMID20357084
PMCPMC2876650
OpenAlexW2118368026

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.