Evidence map›Paper›PMID 33717077›Full record

ArticleFrontiers in immunology2021

A Proteome-Wide Immunoinformatics Tool to Accelerate T-Cell Epitope Discovery and Vaccine Design in the Context of Emerging Infectious Diseases: An Ethnicity-Oriented Approach.

Patricio Oyarzun, Manju Kashyap, Victor Fica, Alexis Salas-Burgos, Faviel F Gonzalez-Galarza, Antony McCabe, Andrew R Jones, Derek Middleton, Bostjan Kobe

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  10. Quantification of heterogeneity in human CD8Frontiers in immunology · 2024
    Article
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  19. Pharmacogenomics and Vaccine Development.Clinical pharmacology and therapeutics · 2021
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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

9 authors at 5 institutions in 4 countries.

Patricio OyarzunFacultad de Ingeniería y Tecnología, Universidad San Sebastián, Sede Concepción, Concepción, Chile.
Manju KashyapFacultad de Ingeniería y Tecnología, Universidad San Sebastián, Sede Concepción, Concepción, Chile.
Victor FicaFacultad de Ingeniería y Tecnología, Universidad San Sebastián, Sede Concepción, Concepción, Chile.
Alexis Salas-BurgosDepartmento of Farmacología, Universidad de Concepción, Concepción, Chile.
Faviel F Gonzalez-GalarzaCenter for Biomedical Research, Faculty of Medicine, Autonomous University of Coahuila, Torreon, Mexico.
Antony McCabeInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
Andrew R JonesInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
Derek MiddletonInstitute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, United Kingdom.
Bostjan KobeSchool of Chemistry and Molecular Biosciences, Institute for Molecular Bioscience and Australian Infectious Diseases Research Centre, University of Queensland, Brisbane, QLD, Australia.
San Sebastián University · CLUniversity of Liverpool · GBUniversidad Autónoma de Coahuila · MXUniversity of Concepción · CLUniversity of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging infectious diseases (EIDs) caused by viruses are increasing in frequency, causing a high disease burden and mortality world-wide. The COVID-19 pandemic caused by the novel SARS-like coronavirus (SARS-CoV-2) underscores the need to innovate and accelerate the development of effective vaccination strategies against EIDs. Human leukocyte antigen (HLA) molecules play a central role in the immune system by determining the peptide repertoire displayed to the T-cell compartment. Genetic polymorphisms of the HLA system thus confer a strong variability in vaccine-induced immune responses and may complicate the selection of vaccine candidates, because the distribution and frequencies of HLA alleles are highly variable among different ethnic groups. Herein, we build on the emerging paradigm of rational epitope-based vaccine design, by describing an immunoinformatics tool (Predivac-3.0) for proteome-wide T-cell epitope discovery that accounts for ethnic-level variations in immune responsiveness. Predivac-3.0 implements both CD8+ and CD4+ T-cell epitope predictions based on HLA allele frequencies retrieved from the Allele Frequency Net Database. The tool was thoroughly assessed, proving comparable performances (AUC ~0.9) against four state-of-the-art pan-specific immunoinformatics methods capable of population-level analysis (NetMHCPan-4.0, Pickpocket, PSSMHCPan and SMM), as well as a strong accuracy on proteome-wide T-cell epitope predictions for HIV-specific immune responses in the Japanese population. The utility of the method was investigated for the COVID-19 pandemic, by performing

Indexed as

EthnicityCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesCommunicable Diseases, EmergingCOVID-19COVID-19 VaccinesEpitopes, T-LymphocyteHLA AntigensHumansImmunogenicity, VaccineMedical Informatics ApplicationsPandemicsPolymorphism, GeneticProtein BindingProteomicsSARS-CoV-2COVID-19 VaccinesEpitopes, T-LymphocyteHLA AntigensSpike Glycoprotein, Coronavirusemerging-infectious diseaseepitope discoveryethnicityimmunoinformaticsSARS-CoV-2T-cell epitopevaccine design

Identifiers

PMID33717077
PMCPMC7952308
OpenAlexW3135102393

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.