Evidence map›Paper›PMID 22125483›Full record

ArticlePLoS computational biology2011

Virus replication strategies and the critical CTL numbers required for the control of infection.

Andrew J Yates, Minus Van Baalen, Rustom Antia

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. How is the effectiveness of immune surveillance impacted by the spatial distribution of spreading infections?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2015
    Article
  3. Article
  4. Article
  5. 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

3 authors at 3 institutions in 2 countries.

Andrew J YatesDepartment of Systems and Computational Biology, Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, New York, USA. andrew.yates@einstein.yu.edu
Minus Van Baalen
Rustom Antia
Albert Einstein College of Medicine · USEcologie & Evolution · FREmory University · US

Funding

Modeling the development, structure and regulation of T cell memoryR01AI093870 · NIAID · UNIVERSITY OF GLASGOW · PI YATES, ANDREW · 2011 to 2025
$5.9M
Quantititive models of CD8+ immune memoryR01AI049334 · NIAID · EMORY UNIVERSITY · PI ANTIA, RUSTOM NOSHIR · 2001 to 2011
$1.6M
NIAID NIH HHS R01 AI049334NIAID NIH HHS R01AI049334NIAID NIH HHS R01 AI093870NIAID NIH HHS R01AI093870
6 · The paper itself

Abstract

Vaccines that elicit protective cytotoxic T lymphocytes (CTL) may improve on or augment those designed primarily to elicit antibody responses. However, we have little basis for estimating the numbers of CTL required for sterilising immunity at an infection site. To address this we begin with a theoretical estimate obtained from measurements of CTL surveillance rates and the growth rate of a virus. We show how this estimate needs to be modified to account for (i) the dynamics of CTL-infected cell conjugates, and (ii) features of the virus lifecycle in infected cells. We show that provided the inoculum size of the virus is low, the dynamics of CTL-infected cell conjugates can be ignored, but knowledge of virus life-histories is required for estimating critical thresholds of CTL densities. We show that accounting for virus replication strategies increases estimates of the minimum density of CTL required for immunity over those obtained with the canonical model of virus dynamics, and demonstrate that this modeling framework allows us to predict and compare the ability of CTL to control viruses with different life history strategies. As an example we predict that lytic viruses are more difficult to control than budding viruses when net reproduction rates and infected cell lifetimes are controlled for. Further, we use data from acute SIV infection in rhesus macaques to calculate a lower bound on the density of CTL that a vaccine must generate to control infection at the entry site. We propose that critical CTL densities can be better estimated either using quantitative models incorporating virus life histories or with in vivo assays using virus-infected cells rather than peptide-pulsed targets.

Indexed as

Models, ImmunologicalAnimalsCell CountComputational BiologyHost-Pathogen InteractionsMacaca mulattaSimian Acquired Immunodeficiency SyndromeSimian Immunodeficiency VirusT-Lymphocytes, CytotoxicVirionVirus DiseasesVirus Replication

Identifiers

PMID22125483
PMCPMC3219614
OpenAlexW1970071316

What OpenQuestion 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 OpenQuestion graph.