Evidence map›Paper›PMID 26171776›Full record

ArticleAIDS research and human retroviruses2016

Modeling HIV-1 Latency in Primary T Cells Using a Replication-Competent Virus.

Laura J Martins, Pawel Bonczkowski, Adam M Spivak, Ward De Spiegelaere, Camille L Novis, Ana Beatriz DePaula-Silva, Eva Malatinkova, Wim Trypsteen, Alberto Bosque, Linos Vanderkerckhove and 1 more

Abstract read
In one paragraph

Article in AIDS research and human retroviruses, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing 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

60 citing papers in PubMed.

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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

11 authors.

Laura J Martins1 Division of Microbiology and Immunology, Department of Pathology, University of Utah School of Medicine , Salt Lake City, Utah.
Pawel Bonczkowski2 Department of Internal Medicine, HIV Translational Research Unit, Ghent University , Ghent, Belgium .
Adam M Spivak3 Division of Infectious Diseases, Department of Medicine, University of Utah School of Medicine , Salt Lake City, Utah.
Ward De Spiegelaere2 Department of Internal Medicine, HIV Translational Research Unit, Ghent University , Ghent, Belgium .
Camille L Novis1 Division of Microbiology and Immunology, Department of Pathology, University of Utah School of Medicine , Salt Lake City, Utah.
Ana Beatriz DePaula-Silva1 Division of Microbiology and Immunology, Department of Pathology, University of Utah School of Medicine , Salt Lake City, Utah.
Eva Malatinkova2 Department of Internal Medicine, HIV Translational Research Unit, Ghent University , Ghent, Belgium .
Wim Trypsteen2 Department of Internal Medicine, HIV Translational Research Unit, Ghent University , Ghent, Belgium .
Alberto Bosque1 Division of Microbiology and Immunology, Department of Pathology, University of Utah School of Medicine , Salt Lake City, Utah.
Linos Vanderkerckhove2 Department of Internal Medicine, HIV Translational Research Unit, Ghent University , Ghent, Belgium .
Vicente Planelles1 Division of Microbiology and Immunology, Department of Pathology, University of Utah School of Medicine , Salt Lake City, Utah.

Funding

Using NK Cells to eliminate the latent HIV reservoirU19AI096113 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WOELK, CHRISTOPHER H · 2011 to 2015
$39.5M
University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
Conservation and Sustainable Use of Biodiversity in PNGU01TW006671 · FIC · UNIVERSITY OF UTAH · PI BARROWS, LOUIS R · 2003 to 2014
$8.8M
University of Utah Center for clinical and Translational ScienceKL2TR001065 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$1.1M
Reactivation of latent HIV through TLR signalingR21AI106438 · NIAID · UNIVERSITY OF UTAH · PI BOSQUE, ALBERTO · 2013 to 2014
$410k
A family of compounds that reactivate latent HIV without T cell activationR21AI116212 · NIAID · UNIVERSITY OF UTAH · PI BOSQUE, ALBERTO · 2014 to 2015
$349k
FIC NIH HHS 5UO1TW006671-10NCATS NIH HHS KL2 TR001065NCATS NIH HHS UL1 TR001067NIAID NIH HHS R21 AI106438-01NIAID NIH HHS R21 AI116212-01NIAID NIH HHS U19 AI096113NIAID NIH HHS U19AI096113PHS HHS R01 087508
6 · The paper itself

Abstract

HIV-1 latently infected cells in vivo can be found in extremely low frequencies. Therefore, in vitro cell culture models have been used extensively for the study of HIV-1 latency. Often, these in vitro systems utilize defective viruses. Defective viruses allow for synchronized infections and circumvent the use of antiretrovirals. In addition, replication-defective viruses cause minimal cytopathicity because they fail to spread and usually do not encode env or accessory genes. On the other hand, replication-competent viruses encode all or most viral genes and better recapitulate the nuances of the viral replication cycle. The study of latency with replication-competent viruses requires the use of antiretroviral drugs in culture, and this mirrors the use of antiretroviral treatment (ART) in vivo. We describe a model that utilizes cultured central memory CD4(+) T cells and replication-competent HIV-1. This method generates latently infected cells that can be reactivated using latency reversing agents in the presence of antiretroviral drugs. We also describe a method for the removal of productively infected cells prior to viral reactivation, which takes advantage of the downregulation of CD4 by HIV-1, and the use of a GFP-encoding virus for increased throughput.

Indexed as

Models, BiologicalCD4-Positive T-LymphocytesCells, CulturedDown-RegulationFlow CytometryGreen Fluorescent ProteinsHIV-1HIV InfectionsHumansLeukocytes, MononuclearVirus ActivationVirus LatencyVirus ReplicationGreen Fluorescent Proteins

Identifiers

PMID26171776
PMCPMC4761834

What OpenQuestion holds

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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.