Evidence map›Paper›PMID 29054116›Full record

ArticleInfluenza and other respiratory viruses2017

T-cell epitope content comparison (EpiCC) of swine H1 influenza A virus hemagglutinin.

Andres H Gutiérrez, Vicki J Rapp-Gabrielson, Frances E Terry, Crystal L Loving, Leonard Moise, William D Martin, Anne S De Groot

Open access · goldAbstract readComparative Study
In one paragraph

Article in Influenza and other respiratory viruses, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

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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

7 authors at 4 institutions in 1 country.

Andres H GutiérrezDepartment of Cell and Molecular Biology, Institute for Immunology and Informatics, University of Rhode Island, Providence, RI, USA.ORCID 0000-0002-6127-8327
Vicki J Rapp-GabrielsonZoetis Inc., Kalamazoo, MI, USA.ORCID 0000-0002-0575-6347
Frances E TerryEpiVax Inc., Providence, RI, USA.
Crystal L LovingVirus and Prion Diseases Research Unit, NADC, USDA ARS, Ames, IA, USA.
Leonard MoiseDepartment of Cell and Molecular Biology, Institute for Immunology and Informatics, University of Rhode Island, Providence, RI, USA.ORCID 0000-0002-4410-865X
William D MartinEpiVax Inc., Providence, RI, USA.ORCID 0000-0001-8694-494X
Anne S De GrootDepartment of Cell and Molecular Biology, Institute for Immunology and Informatics, University of Rhode Island, Providence, RI, USA.ORCID 0000-0001-5911-1459
University of Rhode Island · USProvidence College · USNational Animal Disease Center · USZoetis (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPredicting vaccine efficacy against emerging pathogen strains is a significant problem in human and animal vaccine design. T-cell epitope cross-conservation may play an important role in cross-strain vaccine efficacy. While influenza A virus (IAV) hemagglutination inhibition (HI) antibody titers are widely used to predict protective efficacy of 1 IAV vaccine against new strains, no similar correlate of protection has been identified for T-cell epitopes.

objectiveWe developed a computational method (EpiCC) that facilitates pairwise comparison of protein sequences based on an immunological property-T-cell epitope content-rather than sequence identity, and evaluated its ability to classify swine IAV strain relatedness to estimate cross-protective potential of a vaccine strain for circulating viruses.

methodsT-cell epitope relatedness scores were assessed for 23 IAV HA sequences representing the major H1 swine IAV phylo-clusters circulating in North American swine and HA sequences in a commercial inactivated vaccine (FluSure XP

resultsHigher EpiCC scores were associated with greater protection by the vaccine against strains for 23 field IAV strain vaccine comparisons. A threshold for EpiCC relatedness associated with full or partial protection in the absence of cross-reactive HI antibodies was identified. EpiCC scores for field strains for which FluSure protective efficacy is not yet available were also calculated.

conclusionEpiCC thresholds can be evaluated for predictive accuracy of protection in future efficacy studies. EpiCC may also complement HI cross-reactivity and phylogeny for selection of influenza strains in vaccine development.

Indexed as

AlgorithmsAnimalsComputers, MolecularCross ProtectionEpitope MappingEpitopes, T-LymphocyteHemagglutininsHistocompatibility Antigens Class IInfluenza A virusOrthomyxoviridae InfectionsSequence Analysis, ProteinSwineSwine DiseasesVaccine PotencyEpitopes, T-LymphocyteHemagglutininsHistocompatibility Antigens Class Iswine leukocyte antigencomputational immunologyhemagglutinininfluenza A virusesswine influenza H1 virusesswine leukocyte antigenT-cell epitope content comparisonT-cell epitope predictionvaccine efficacy

Identifiers

PMID29054116
PMCPMC5705686
OpenAlexW2766557445

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.