Evidence map›Paper›PMID 31473372›Full record

ReviewCurrent opinion in virology2019

Targeting HIV-1 proviral transcription.

Alex Olson, Binita Basukala, Wilson W Wong, Andrew J Henderson

Abstract readReview
In one paragraph

Review in Current opinion in virology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
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

4 authors.

Alex OlsonDepartment of Medicine, Section of Infectious Diseases, Boston University School of Medicine, United States.
Binita BasukalaCell & Molecular Biology, Biology, Boston University, United States.
Wilson W WongBiomedical Engineering, Boston University, United States.
Andrew J HendersonDepartment of Medicine, Section of Infectious Diseases, Boston University School of Medicine, United States. Electronic address: andrew.henderson@bmc.org.

Funding

Translational ScienceP30AI042853 · NIAID · MIRIAM HOSPITAL · PI CURT G BECKWITH · 1998 to 2026
$51.7M
Single nuclei transcriptomics of Alzheimer's brain diseaseR61DA047032 · NIDA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHENG, CHRISTINE, HENDERSON, ANDREW J · 2018 to 2020
$3.5M
Signals that establish and maintain HIV latencyR01AI138960 · NIAID · BOSTON MEDICAL CENTER · PI HENDERSON, ANDREW J · 2018 to 2022
$2.2M
Effect of opioid use disorder on HIV latent reservoirs and immune dysfunction assessed by single-cell transcriptomicsR33DA047032 · NIDA · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CHENG, CHRISTINE, HENDERSON, ANDREW J · 2021 to 2022
$1.8M
Regulation of HIV by T-Cell Signal TransductionR01AI062467 · NIAID · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI HENDERSON, ANDREW J · 2005 to 2009
$1.2M
NIAID NIH HHS P30 AI042853NIAID NIH HHS R01 AI062467NIAID NIH HHS R01 AI138960NIDA NIH HHS R33 DA047032NIDA NIH HHS R61 DA047032
6 · The paper itself

Abstract

Despite the success of antiretroviral therapies, there is no cure for HIV-1 infection due to the establishment of a long-lived latent reservoir that fuels viral rebound upon treatment interruption. 'Shock-and-kill' strategies to diminish the latent reservoir have had modest impact on the reservoir leading to considerations of alternative approaches to target HIV-1 proviruses. This review explores approaches to target HIV-1 transcription as a way to block the provirus expression.

Indexed as

Gene Expression Regulation, ViralGene TargetingTranscription, GeneticGenetic EngineeringHIV-1HIV InfectionsHumansProvirusesVirus Latency

Identifiers

PMID31473372
PMCPMC6854310

What OpenQuestion holds

Textmetadata
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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.