ArticleScientific reports2013
Synaptic transmission and the susceptibility of HIV infection to anti-viral drugs.
Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed, 41 citations in OpenAlex.
- A hybrid stochastic-deterministic approach to explore multiple infection and evolution in HIV.PLoS computational biology · 2021Article
- Modeling the role of macrophages in HIV persistence during antiretroviral therapy.Journal of mathematical biology · 2020Article
- Effect of synaptic cell-to-cell transmission and recombination on the evolution of double mutants in HIV.Journal of the Royal Society, Interface · 2020Article
- Multiple infection of cells changes the dynamics of basic viral evolutionary processes.Evolution letters · 2019Article
- Review
- Synaptic transmission may provide an evolutionary benefit to HIV through modulation of latency.Journal of theoretical biology · 2018Article
- Accounting for Space—Quantification of Cell-To-Cell Transmission Kinetics Using Virus Dynamics Models.Viruses · 2018Article
- Collective Infectious Units in Viruses.Trends in microbiology · 2017Review
- Modeling Viral Spread.Annual review of virology · 2016Review
- Article
- Quantification of Hepatitis C Virus Cell-to-Cell Spread Using a Stochastic Modeling Approach.Journal of virology · 2015Article
- HIV cell-to-cell transmission: effects on pathogenesis and antiretroviral therapy.Trends in microbiology · 2015Review
- Hybrid spreading mechanisms and T cell activation shape the dynamics of HIV-1 infection.PLoS computational biology · 2015Article
- Contribution of HIV-1 genomes that do not integrate to the basic reproductive ratio of the virus.Journal of theoretical biology · 2015Article
- Modeling the within-host dynamics of HIV infection.BMC biology · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Cell-to-cell viral transmission via virological synapses has been argued to reduce susceptibility of the virus population to anti-viral drugs through multiple infection of cells, contributing to low-level viral persistence during therapy. Using a mathematical framework, we examine the role of synaptic transmission in treatment susceptibility. A key factor is the relative probability of individual virions to infect a cell during free-virus and synaptic transmission, a currently unknown quantity. If this infection probability is higher for free-virus transmission, then treatment susceptibility is lowest if one virus is transferred per synapse, and multiple infection of cells increases susceptibility. In the opposite case, treatment susceptibility is minimized for an intermediate number of virions transferred per synapse. Hence, multiple infection via synapses does not simply lower treatment susceptibility. Without further experimental investigations, one cannot conclude that synaptic transmission provides an additional mechanism for the virus to persist at low levels during anti-viral therapy.
Indexed as
Identifiers
What Socratic holds
Registered trials
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.