Evidence map›Paper›PMID 26311880›Full record

ArticleJournal of virology2015

Positive Selection in CD8+ T-Cell Epitopes of Influenza Virus Nucleoprotein Revealed by a Comparative Analysis of Human and Swine Viral Lineages.

Heather M Machkovech, Trevor Bedford, Marc A Suchard, Jesse D Bloom

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of virology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

39 citing papers in PubMed, 49 citations in OpenAlex.

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  9. Biology · 2024
    Review
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  16. Review
  17. T cells in SARS-CoV-2 infection and vaccination.Therapeutic advances in vaccines and immunotherapy · 2022
    Review
  18. Article
  19. Review
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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 2 institutions in 2 countries.

Heather M MachkovechDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA Medical Scientist Training Program, University of Washington, Seattle, Washington, USA Division of Basic Sciences and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Trevor BedfordVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA.
Marc A SuchardDepartments of Biomathematics, Biostatistics, and Human Genetics, UCLA, Los Angeles, California, USA.
Jesse D BloomDepartment of Genome Sciences, University of Washington, Seattle, Washington, USA Division of Basic Sciences and Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA jbloom@fredhutch.org.ORCID http://orcid.org/0000-0003-1267-3408
Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZAFred Hutch Cancer Center · US

Funding

University of Washington Medical Scientist Training Program: MD/PhDT32GM007266 · NIGMS · UNIVERSITY OF WASHINGTON · PI HORWITZ, MARSHALL S. · 1985 to 2023
$30.4M
Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2014 to 2018
$12.5M
Viral Pathogenesis Training ProgramT32AI083203 · NIAID · UNIVERSITY OF WASHINGTON · PI BLOOM, JESSE D, LAGUNOFF, MICHAEL · 2009 to 2023
$2.7M
Models for synthesising molecular, clinical and epidemiological data, and translaU01GM110721 · NIGMS · IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE · PI CAUCHEMEZ, SIMON, FERGUSON, NEIL MORRIS · 2014 to 2018
$1.9M
Mapping epistasis in molecular evolution: the influenza nucleoproteinR01GM102198 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BLOOM, JESSE D · 2012 to 2016
$1.6M
FHCRC High-Performance Computing ClusterS10OD020069 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KOOPERBERG, CHARLES L · 2015 to 2015
$600k
NIAID NIH HHS T32 AI083203NIAID NIH HHS T32AI083203NIGMS NIH HHS R01 GM102198NIGMS NIH HHS R01GM102198NIGMS NIH HHS T32 GM007266NIGMS NIH HHS U01 GM110721NIGMS NIH HHS U01GM110721NIGMS NIH HHS U54 GM111274NIH HHS S10 OD020069
6 · The paper itself

Abstract

unlabelledNumerous experimental studies have demonstrated that CD8(+) T cells contribute to immunity against influenza by limiting viral replication. It is therefore surprising that rigorous statistical tests have failed to find evidence of positive selection in the epitopes targeted by CD8(+) T cells. Here we use a novel computational approach to test for selection in CD8(+) T-cell epitopes. We define all epitopes in the nucleoprotein (NP) and matrix protein (M1) with experimentally identified human CD8(+) T-cell responses and then compare the evolution of these epitopes in parallel lineages of human and swine influenza viruses that have been diverging since roughly 1918. We find a significant enrichment of substitutions that alter human CD8(+) T-cell epitopes in NP of human versus swine influenza virus, consistent with the idea that these epitopes are under positive selection. Furthermore, we show that epitope-altering substitutions in human influenza virus NP are enriched on the trunk versus the branches of the phylogenetic tree, indicating that viruses that acquire these mutations have a selective advantage. However, even in human influenza virus NP, sites in T-cell epitopes evolve more slowly than do nonepitope sites, presumably because these epitopes are under stronger inherent functional constraint. Overall, our work demonstrates that there is clear selection from CD8(+) T cells in human influenza virus NP and illustrates how comparative analyses of viral lineages from different hosts can identify positive selection that is otherwise obscured by strong functional constraint. IMPORTANCE: There is a strong interest in correlates of anti-influenza immunity that are protective against diverse virus strains. CD8(+) T cells provide such broad immunity, since they target conserved viral proteins. An important question is whether T-cell immunity is sufficiently strong to drive influenza virus evolution. Although many studies have shown that T cells limit viral replication in animal models and are associated with decreased symptoms in humans, no studies have proven with statistical significance that influenza virus evolves under positive selection to escape T cells. Here we use comparisons of human and swine influenza viruses to rigorously demonstrate that human influenza virus evolves under pressure to fix mutations in the nucleoprotein that promote escape from T cells. We further show that viruses with these mutations have a selective advantage since they are preferentially located on the "trunk" of the phylogenetic tree. Overall, our results show that CD8(+) T cells targeting nucleoprotein play an important role in shaping influenza virus evolution.

Indexed as

Selection, GeneticAnimalsCD8-Positive T-LymphocytesEpitopes, T-LymphocyteHumansInfluenza A Virus, H1N1 SubtypeInfluenza A Virus, H1N2 SubtypeInfluenza A Virus, H3N2 SubtypeInfluenza, HumanNucleocapsid ProteinsOrthomyxoviridae InfectionsRNA-Binding ProteinsSwineViral Core ProteinsViral Matrix ProteinsEpitopes, T-LymphocyteM1 protein, Influenza A virusNP protein, Influenza A virusNucleocapsid ProteinsRNA-Binding ProteinsViral Core ProteinsViral Matrix Proteins

Identifiers

PMID26311880
PMCPMC4645657
OpenAlexW1959481182

What OpenQuestion holds

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Registered trials

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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.