Evidence map›Paper›PMID 27629812›Full record

ArticleScientific reports2016

Long-term adaptation of the influenza A virus by escaping cytotoxic T-cell recognition.

Rutger G Woolthuis, Christiaan H van Dorp, Can Keşmir, Rob J de Boer, Michiel van Boven

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. 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, 34 citations in OpenAlex.

  1. Review
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  4. Predicting pathogen evolution and immune evasion in the age of artificial intelligence.Computational and structural biotechnology journal · 2025
    Review
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  19. Review
  20. Evolution of Influenza A Virus by Mutation and Re-Assortment.International journal of molecular sciences · 2017
    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

5 authors at 2 institutions in 1 country.

Rutger G WoolthuisTheoretical Biology, Utrecht University, Utrecht, The Netherlands.
Christiaan H van DorpTheoretical Biology, Utrecht University, Utrecht, The Netherlands.
Can KeşmirTheoretical Biology, Utrecht University, Utrecht, The Netherlands.
Rob J de BoerTheoretical Biology, Utrecht University, Utrecht, The Netherlands.
Michiel van BovenNational Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Utrecht University · NLNational Institute for Public Health and the Environment · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolutionary adaptation of the influenza A virus (IAV) to human antibodies is well characterised. Much less is known about the long-term evolution of cytotoxic T lymphocyte (CTL) epitopes, which are important antigens for clearance of infection. We construct an antigenic map of IAVs of all human subtypes using a compendium of 142 confirmed CTL epitopes, and show that IAV evolved gradually in the period 1932-2015, with infrequent antigenic jumps in the H3N2 subtype. Intriguingly, the number of CTL epitopes per virus decreases with more than one epitope per three years in the H3N2 subtype (from 84 epitopes per virus in 1968 to 64 in 2015), mostly attributed to the loss of HLA-B epitopes. We confirm these observations with epitope predictions. Our findings indicate that selection pressures imposed by CTL immunity shape the long-term evolution of IAV.

Indexed as

Epitopes, T-LymphocyteHLA-B AntigensHumansImmunodominant EpitopesInfluenza A Virus, H3N2 SubtypeInfluenza, HumanT-Lymphocytes, CytotoxicEpitopes, T-LymphocyteHLA-B AntigensImmunodominant Epitopes

Identifiers

PMID27629812
PMCPMC5024124
OpenAlexW2520973015

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.