Evidence map›Paper›PMID 25837979›Full record

ArticlePLoS computational biology2015

Hybrid spreading mechanisms and T cell activation shape the dynamics of HIV-1 infection.

Changwang Zhang, Shi Zhou, Elisabetta Groppelli, Pierre Pellegrino, Ian Williams, Persephone Borrow, Benjamin M Chain, Clare Jolly

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Modeling Viral Spread.Annual review of virology · 2016
    Review
  10. Article
  11. Article
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

8 authors at 4 institutions in 2 countries.

Changwang ZhangDepartment of Computer Science, University College London, London, United Kingdom; Security Science Doctoral Research Training Centre, University College London, London, United Kingdom; School of Computer Science, National University of Defense Technology, Changsha, China.
Shi ZhouDepartment of Computer Science, University College London, London, United Kingdom.
Elisabetta GroppelliDivision of Infection and Immunity, University College London, London, United Kingdom.
Pierre PellegrinoCentre for Sexual Health & HIV Research, Mortimer Market Centre, London, United Kingdom.
Ian WilliamsCentre for Sexual Health & HIV Research, Mortimer Market Centre, London, United Kingdom.
Persephone BorrowNuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
Benjamin M ChainDivision of Infection and Immunity, University College London, London, United Kingdom.
Clare JollyDivision of Infection and Immunity, University College London, London, United Kingdom.
University College London · GBMortimer Market Centre · GBNational University of Defense Technology · CNUniversity of Oxford · GB

Funding

Medical Research Council G0800312Medical Research Council MR/J008184/1Medical Research Council MR/K012037Medical Research Council MR/K012037/1
6 · The paper itself

Abstract

HIV-1 can disseminate between susceptible cells by two mechanisms: cell-free infection following fluid-phase diffusion of virions and by highly-efficient direct cell-to-cell transmission at immune cell contacts. The contribution of this hybrid spreading mechanism, which is also a characteristic of some important computer worm outbreaks, to HIV-1 progression in vivo remains unknown. Here we present a new mathematical model that explicitly incorporates the ability of HIV-1 to use hybrid spreading mechanisms and evaluate the consequences for HIV-1 pathogenenesis. The model captures the major phases of the HIV-1 infection course of a cohort of treatment naive patients and also accurately predicts the results of the Short Pulse Anti-Retroviral Therapy at Seroconversion (SPARTAC) trial. Using this model we find that hybrid spreading is critical to seed and establish infection, and that cell-to-cell spread and increased CD4+ T cell activation are important for HIV-1 progression. Notably, the model predicts that cell-to-cell spread becomes increasingly effective as infection progresses and thus may present a considerable treatment barrier. Deriving predictions of various treatments' influence on HIV-1 progression highlights the importance of earlier intervention and suggests that treatments effectively targeting cell-to-cell HIV-1 spread can delay progression to AIDS. This study suggests that hybrid spreading is a fundamental feature of HIV infection, and provides the mathematical framework incorporating this feature with which to evaluate future therapeutic strategies.

Indexed as

Models, ImmunologicalCD4-Positive T-LymphocytesComputational BiologyFemaleHIV-1HIV InfectionsHost-Pathogen InteractionsHumansMale

Identifiers

PMID25837979
PMCPMC4383537
OpenAlexW2065006175

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.