Evidence map›Paper›PMID 25253352›Full record

ArticleJournal of virology2014

Modeling the timing of antilatency drug administration during HIV treatment.

Janka Petravic, Alexey Martyushev, Jeanette C Reece, Stephen J Kent, Miles P Davenport

Abstract read
In one paragraph

Article in Journal of virology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Kill: boosting HIV-specific immune responses.Current opinion in HIV and AIDS · 2016
    Review
  12. Article
  13. Article
  14. Dynamic models of viral replication and latency.Current opinion in HIV and AIDS · 2015
    Review
  15. 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 PetravicCentre for Vascular Research, UNSW Australia, Kensington, New South Wales, Australia.
Alexey MartyushevCentre for Vascular Research, UNSW Australia, Kensington, New South Wales, Australia.
Jeanette C ReeceDepartment of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.
Stephen J KentDepartment of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia.
Miles P DavenportDepartment of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, Victoria, Australia m.davenport@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledLatently infected cells are considered a major barrier to the cure of HIV infection, since they are long-lived under antiretroviral therapy (ART) and cause viral replication to restart soon after stopping ART. In the last decade, different types of antilatency drugs have been explored with the aim of reactivating and purging this latent reservoir and the hope of achieving a cure. Because of toxicity and safety considerations, antilatency drugs can only be given for a short time to patients on long-term ART, with little effect. We recently investigated the turnover of latently infected cells during active infection and have found that it was strongly correlated with viral load. This implies that although latently infected cells had long life spans in a setting of a low viral load (such as during ART), they turned over quickly under a high viral load. Possible reasons for this could be that an increased viral load causes increased activation or death of CD4(+) T cells, including those that are latently infected. Taking these results into account, we developed a mathematical model to study the most appropriate timing of antilatency drugs in relationship to the initiation of ART. We found that the best timing of a short-term antilatency drug would be the start of ART, when viral load, CD4(+) T cell activation, and latent cell turnover are all high. These results have important implications for the design of HIV cure-related clinical trials. IMPORTANCE: The antiretroviral therapy (ART) of HIV-infected patients currently needs to be lifelong, because the cells latently infected with HIV start new rounds of infection as soon as the treatment is stopped. In the last decade, a number of different types of antilatency drugs have been explored with the aim of "reactivating" and "purging" this latent reservoir and thus achieving a cure. These drugs have thus far been tested on patients only after long-term ART and have demonstrated little or no effect. We use mathematical modeling to show that the most efficacious timing of a short-term antilatency treatment may be the start of ART because of possible interactions of antilatency drugs with natural activation pathways.

Indexed as

Models, TheoreticalAnti-HIV AgentsHIVHIV InfectionsHumansTime FactorsVirus ActivationVirus LatencyAnti-HIV Agents

Identifiers

PMID25253352
PMCPMC4249129

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.