Evidence map›Paper›PMID 30048721›Full record

ArticleJournal of theoretical biology2018

Synaptic transmission may provide an evolutionary benefit to HIV through modulation of latency.

Cesar Vargas-Garcia, Ryan Zurakowski, Abhyudai Singh

Open access · greenAbstract read
In one paragraph

Article in Journal of theoretical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 2 countries.

Cesar Vargas-GarciaFundación Universitaria Konrad Lorenz, Bogotá, Colombia. Electronic address: cavargar@udel.edu.
Ryan ZurakowskiFundación Universitaria Konrad Lorenz, Bogotá, Colombia. Electronic address: ryanz@udel.edu.
Abhyudai SinghDepartment of Electrical and Computer Engineering, Biomedical Engineering, Mathematical Sciences, University of Delaware, Newark DE 19716, USA. Electronic address: absingh@udel.edu.
Fundación Universitaria Konrad Lorenz · COUniversity of Delaware · US

Funding

HIV 2-LTR Dynamics and Cryptic ViremiaR21AI110288 · NIAID · UNIVERSITY OF DELAWARE · PI ZURAKOWSKI, RYAN M · 2014 to 2015
$418k
NIAID NIH HHS R21 AI110288
6 · The paper itself

Abstract

Transmission of HIV is known to occur by two mechanisms in vivo: the free virus pathway, where viral particles bud off an infected cell before attaching to an uninfected cell, and the cell-cell pathway, where infected cells form virological synapses through close contact with an uninfected cell. It has also been shown that HIV replication includes a positive feedback loop controlled by the viral protein Tat, which may act as a stochastic switch in determining whether an infected cell enters latency. In this paper, we introduce a simple mathematical model of HIV replication containing both the free virus and cell-cell pathways. Using this model, we demonstrate that the high multiplicity of infection in cell-cell transmission results in a suppression of latent infection, and that this modulation of latency through balancing the two transmission mechanisms can provide an evolutionary benefit to the virus. This benefit increases with decreasing overall viral fitness, which may provide a within-host evolutionary pressure toward more cell-cell transmission in late-stage HIV infection.

Indexed as

HIV InfectionsImmunological SynapsesModels, ImmunologicalHIV-1Humanstat Gene Products, Human Immunodeficiency VirusVirus Latencytat Gene Products, Human Immunodeficiency VirusHIV infection persistence

Identifiers

PMID30048721
PMCPMC7187919
OpenAlexW2950040373

What Socratic holds

Textmetadata
LicenceTDM
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.