Evidence map›Paper›PMID 26998338›Full record

ArticleRoyal Society open science2016

Timing of CD8 T cell effector responses in viral infections.

Shaun R Stipp, Abdon Iniguez, Frederic Wan, Dominik Wodarz

Abstract read
In one paragraph

Article in Royal Society open science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Shaun R StippInstitute for Mathematical Behavioral Sciences , University of California , Irvine, CA, USA.
Abdon IniguezMathematical and Computational Systems Biology , University of California , Irvine, CA, USA.
Frederic WanDepartment of Mathematics , University of California , Irvine, CA, USA.
Dominik WodarzDepartment of Mathematics, University of California, Irvine, CA, USA; Department of Ecology and Evolutionary Biology, University of California, Irvine, CA, USA.

Funding

Viruis Dynamics and Multiple Infection of Cells: Computational and Experimental AR01AI093998 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI LEVY, DAVID N, WODARZ, DOMINIK F · 2011 to 2014
$1.5M
NIAID NIH HHS R01 AI093998
6 · The paper itself

Abstract

CD8 T cell or cytotoxic T lymphocyte (CTL) responses are an important branch of the immune system in the fight against viral infections. The dynamics of anti-viral CTL responses have been characterized in some detail, both experimentally and with mathematical models. An interesting experimental observation concerns the timing of CTL responses. A recent study reported that in pneumonia virus of mice the effector CTL tended to arrive in the lung only after maximal virus loads had been achieved, an observation that seems at first counterintuitive because prevention of pathology would require earlier CTL-mediated activity. A delay in CTL-mediated effector activity has also been quoted as a possible explanation for the difficulties associated with CTL-based vaccines. This paper uses mathematical models to show that in specific parameter regimes, delayed CTL effector activity can be advantageous for the host in the sense that it can increase the chances of virus clearance. The increased ability of the CTL to clear the infection, however, is predicted to come at the cost of acute pathology, giving rise to a trade-off, which is discussed in the light of evolutionary processes. This work provides a theoretical basis for understanding the described experimental observations.

Indexed as

CD8 T cellscytotoxic T lymphocyte dynamicsdelaymathematical modelsvirus dynamics

Identifiers

PMID26998338
PMCPMC4785989

What OpenQuestion holds

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LicenceCC BY
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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.