Evidence map›Paper›PMID 24699260›Full record

ArticlePLoS computational biology2014

Rates of CTL killing in persistent viral infection in vivo.

Marjet Elemans, Arnaud Florins, Luc Willems, Becca Asquith

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

20 citing papers in PubMed, 38 citations in OpenAlex.

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  10. Designing of CD8Biologics : targets & therapy · 2018
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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 at 3 institutions in 2 countries.

Marjet ElemansSection of Immunology, Imperial College London, London, United Kingdom.
Arnaud FlorinsMolecular and Cellular Biology, Université de Liège and GIGA, Gembloux Agro-Bio Tech, Liège, Belgium.
Luc WillemsMolecular and Cellular Biology, Université de Liège and GIGA, Gembloux Agro-Bio Tech, Liège, Belgium.
Becca AsquithSection of Immunology, Imperial College London, London, United Kingdom.
Imperial College London · GBGembloux Agro-Bio Tech · BEUniversity of Liège · BE

Funding

Medical Research Council G0601072Medical Research Council MR/J007439/1Wellcome Trust
6 · The paper itself

Abstract

The CD8+ cytotoxic T lymphocyte (CTL) response is an important defence against viral invasion. Although CTL-mediated cytotoxicity has been widely studied for many years, the rate at which virus-infected cells are killed in vivo by the CTL response is poorly understood. To date the rate of CTL killing in vivo has been estimated for three virus infections but the estimates differ considerably, and killing of HIV-1-infected cells was unexpectedly low. This raises questions about the typical anti-viral capability of CTL and whether CTL killing is abnormally low in HIV-1. We estimated the rate of killing of infected cells by CD8+ T cells in two distinct persistent virus infections: sheep infected with Bovine Leukemia Virus (BLV) and humans infected with Human T Lymphotropic Virus type 1 (HTLV-1) which together with existing data allows us to study a total of five viruses in parallel. Although both BLV and HTLV-1 infection are characterised by large expansions of chronically activated CTL with immediate effector function ex vivo and no evidence of overt immune suppression, our estimates are at the lower end of the reported range. This enables us to put current estimates into perspective and shows that CTL killing of HIV-infected cells may not be atypically low. The estimates at the higher end of the range are obtained in more manipulated systems and may thus represent the potential rather than the realised CTL efficiency.

Indexed as

Cytotoxicity, ImmunologicAnimalsCattleCD8-Positive T-LymphocytesEnzootic Bovine LeukosisHTLV-I InfectionsHumansModels, BiologicalSheepSheep Diseases

Identifiers

PMID24699260
PMCPMC3974637
OpenAlexW2041594679

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.