Evidence map›Paper›PMID 28202759›Full record

ArticleJournal of virology2017

Relationship between Measures of HIV Reactivation and Decline of the Latent Reservoir under Latency-Reversing Agents.

Janka Petravic, Thomas A Rasmussen, Sharon R Lewin, Stephen J Kent, Miles P Davenport

Abstract read
In one paragraph

Article in Journal of virology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Modelling HIV-1 control and remission.NPJ systems biology and applications · 2024
    Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Observational
  13. Article
  14. Modeling HIV persistence and cure studies.Current opinion in HIV and AIDS · 2018
    Review
  15. Review
  16. Article
  17. Modeling Kick-Kill Strategies toward HIV Cure.Frontiers in immunology · 2017
    Review
  18. Mathematical Models of HIV Latency.Current topics in microbiology and immunology
    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

5 authors.

Janka PetravicKirby Institute, UNSW Australia, Kensington, NSW, Australia.
Thomas A RasmussenDepartment of Infectious Diseases, Aarhus University Hospital, Aarhus, Denmark.
Sharon R LewinDepartment of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, Victoria, Australia.
Stephen J KentDepartment of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Parkville, Victoria, Australia.
Miles P DavenportKirby Institute, UNSW Australia, Kensington, NSW, Australia m.davenport@unsw.edu.au.

Funding

Viral reservoirs and sanctuaries in HAART - treated patients: role and mechanismsU19AI096109 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCHACKER, TIMOTHY W · 2011 to 2015
$29.5M
Delaney AIDS Research Enterprise to Cure HIVUM1AI126611 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DEEKS, STEVEN GRANT, PICKER, LOUIS J. · 2016 to 2020
$27.9M
NIAID NIH HHS U19 AI096109NIAID NIH HHS UM1 AI126611
6 · The paper itself

Abstract

Antiretroviral-free HIV remission requires substantial reduction of the number of latently infected cells and enhanced immune control of viremia. Latency-reversing agents (LRAs) aim to eliminate latently infected cells by increasing the rate of reactivation of HIV transcription, which exposes these cells to killing by the immune system. As LRAs are explored in clinical trials, it becomes increasingly important to assess the effect of an increased HIV reactivation rate on the decline of latently infected cells and to estimate LRA efficacy in increasing virus reactivation. However, whether the extent of HIV reactivation is a good predictor of the rate of decline of the number of latently infected cells is dependent on a number of factors. Our modeling shows that the mechanisms of maintenance and clearance of the reservoir, the life span of cells with reactivated HIV, and other factors may significantly impact the relationship between measures of HIV reactivation and the decline in the number of latently infected cells. The usual measures of HIV reactivation are the increase in cell-associated HIV RNA (CA RNA) and/or plasma HIV RNA soon after administration. We analyze two recent studies where CA RNA was used to estimate the impact of two novel LRAs, panobinostat and romidepsin. Both drugs increased the CA RNA level 3- to 4-fold in clinical trials. However, cells with panobinostat-reactivated HIV appeared long-lived (half-life > 1 month), suggesting that the HIV reactivation rate increased by approximately 8%. With romidepsin, the life span of cells that reactivated HIV was short (2 days), suggesting that the HIV reactivation rate may have doubled under treatment.

Indexed as

Anti-HIV AgentsDepsipeptidesHIV-1HIV InfectionsHumansHydroxamic AcidsIndolesModels, TheoreticalPanobinostatRNA, ViralTranscription, GeneticViremiaVirus ActivationVirus LatencyAnti-HIV AgentsDepsipeptidesHydroxamic AcidsIndolesPanobinostatRNA, Viralromidepsinhuman immunodeficiency viruslatencyreactivation

Identifiers

PMID28202759
PMCPMC5391444

What OpenQuestion holds

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Registered trials

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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.