Evidence map›Paper›PMID 23878211›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

HLA targeting efficiency correlates with human T-cell response magnitude and with mortality from influenza A infection.

Tomer Hertz, Christine M Oshansky, Philippa L Roddam, John P DeVincenzo, Miguela A Caniza, Nebojsa Jojic, Simon Mallal, Elizabeth Phillips, Ian James, M Elizabeth Halloran and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. HLA-B*15:01-positive severe COVID-19 patients lack CD8Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Review
  6. The molecular mechanisms of CD8Frontiers in immunology · 2024
    Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. SARS-CoV-2-specific CD8Immunology and cell biology · 2021
    Article
  12. Article
  13. CD8Nature communications · 2021
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Deciphering the TCR Repertoire to Solve the COVID-19 Mystery.Trends in pharmacological sciences · 2020
    Review
  20. 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

12 authors at 6 institutions in 3 countries.

Tomer HertzVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. thertz@fhcrc.org
Christine M Oshansky
Philippa L Roddam
John P DeVincenzo
Miguela A Caniza
Nebojsa Jojic
Simon Mallal
Elizabeth Phillips
Ian James
M Elizabeth Halloran
Paul G Thomas
Lawrence Corey
Royal Perth Hospital · AUSt. Jude Children's Research Hospital · USFred Hutch Cancer Center · USUniversity of Tennessee at Knoxville · USCape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZAMicrosoft (United States) · US

Funding

HIV-1 adaptation to HLA-restricted immune responsesR01AI060460 · NIAID · MURDOCH UNIVERSITY · PI MALLAL, SIMON ALEXANDER · 2004 to 2008
$1.3M
Computational Approaches to Studying Immunodominance.K25AI087397 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HERTZ, TOMER · 2010 to 2014
$620k
NIAID NIH HHS HHSN266200700005C
6 · The paper itself

Abstract

Experimental and computational evidence suggests that HLAs preferentially bind conserved regions of viral proteins, a concept we term "targeting efficiency," and that this preference may provide improved clearance of infection in several viral systems. To test this hypothesis, T-cell responses to A/H1N1 (2009) were measured from peripheral blood mononuclear cells obtained from a household cohort study performed during the 2009-2010 influenza season. We found that HLA targeting efficiency scores significantly correlated with IFN-γ enzyme-linked immunosorbent spot responses (P = 0.042, multiple regression). A further population-based analysis found that the carriage frequencies of the alleles with the lowest targeting efficiencies, A*24, were associated with pH1N1 mortality (r = 0.37, P = 0.031) and are common in certain indigenous populations in which increased pH1N1 morbidity has been reported. HLA efficiency scores and HLA use are associated with CD8 T-cell magnitude in humans after influenza infection. The computational tools used in this study may be useful predictors of potential morbidity and identify immunologic differences of new variant influenza strains more accurately than evolutionary sequence comparisons. Population-based studies of the relative frequency of these alleles in severe vs. mild influenza cases might advance clinical practices for severe H1N1 infections among genetically susceptible populations.

Indexed as

Influenza A Virus, H1N1 SubtypeCD4-Positive T-LymphocytesCohort StudiesComputational BiologyEnzyme-Linked Immunospot AssayGene FrequencyHLA AntigensHumansInfluenza, HumanInterferon-gammaModels, StatisticalRegression AnalysisHLA AntigensInterferon-gammaHLA associationMHCNative AmericanT-cell epitope

Identifiers

PMID23878211
PMCPMC3746844
OpenAlexW2049505623

What OpenQuestion holds

Textmetadata
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.