Evidence map›Paper›PMID 23755893›Full record

ReviewSeminars in immunology2013

Vaccinomics, adversomics, and the immune response network theory: individualized vaccinology in the 21st century.

Gregory A Poland, Richard B Kennedy, Brett A McKinney, Inna G Ovsyannikova, Nathaniel D Lambert, Robert M Jacobson, Ann L Oberg

Abstract readReview
In one paragraph

Review in Seminars in immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
–field-weighted citation impact
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

73 citing papers in PubMed.

  1. Trial
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Evolution of tick vaccinology.Parasitology · 2024
    Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Exploring the ethics of genetic prioritisation for COVID-19 vaccines.European journal of human genetics : EJHG · 2022
    Review
  15. Article
  16. Vaccinomics: a cross-sectional survey of public values.Human vaccines & immunotherapeutics · 2021
    Article
  17. Pharmacogenomics and Vaccine Development.Clinical pharmacology and therapeutics · 2021
    Article
  18. Personalized health and the coronavirus vaccines-Do individual genetics matter?BioEssays : news and reviews in molecular, cellular and developmental biology · 2021
    Review
  19. Article
  20. Article

13 more citing papers are in PubMed but not listed here.

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.

Gregory A PolandMayo Clinic Vaccine Research Group, Rochester, MN 55905, USA. Poland.gregory@mayo.edu
Richard B Kennedy
Brett A McKinney
Inna G Ovsyannikova
Nathaniel D Lambert
Robert M Jacobson
Ann L Oberg

Funding

Bioinformatics Approach to Influenza A/H1N1 Vaccine Immune ProfilingU01AI089859 · NIAID · MAYO CLINIC ROCHESTER · PI POLAND, GREGORY A. · 2010 to 2015
$33.8M
The Immunogenetics of Measles ImmunityR01AI033144 · NIAID · MAYO CLINIC ROCHESTER · PI POLAND, GREGORY A. · 1993 to 2022
$8.1M
Immunogenetic Mechanisms of Vaccine ResponseR37AI048793 · NIAID · MAYO CLINIC ROCHESTER · PI POLAND, GREGORY A. · 2011 to 2020
$5.4M
NIAID NIH HHS AI40065NIAID NIH HHS N01 AI040065NIAID NIH HHS R01 AI033144NIAID NIH HHS R01AI033144NIAID NIH HHS R37 AI048793NIAID NIH HHS R37AI048793NIAID NIH HHS U01 AI089859NIAID NIH HHS U01AI089859
6 · The paper itself

Abstract

Vaccines, like drugs and medical procedures, are increasingly amenable to individualization or personalization, often based on novel data resulting from high throughput "omics" technologies. As a result of these technologies, 21st century vaccinology will increasingly see the abandonment of a "one size fits all" approach to vaccine dosing and delivery, as well as the abandonment of the empiric "isolate-inactivate-inject" paradigm for vaccine development. In this review, we discuss the immune response network theory and its application to the new field of vaccinomics and adversomics, and illustrate how vaccinomics can lead to new vaccine candidates, new understandings of how vaccines stimulate immune responses, new biomarkers for vaccine response, and facilitate the understanding of what genetic and other factors might be responsible for rare side effects due to vaccines. Perhaps most exciting will be the ability, at a systems biology level, to integrate increasingly complex high throughput data into descriptive and predictive equations for immune responses to vaccines. Herein, we discuss the above with a view toward the future of vaccinology.

Indexed as

VaccinesAnimalsDrug DiscoveryDrug-Related Side Effects and Adverse ReactionsHigh-Throughput Screening AssaysHumansPrecision MedicineSystems BiologyVaccinesAdaptive immunityAdversomicsBiotechnologyComputational biologyGenomicsImmune response network theoryImmunogeneticsIndividualized medicineIndividualized vaccinologyModelingPredictive equationProteomicsSystems biologyVaccinationVaccinesVaccinomics

Identifiers

PMID23755893
PMCPMC3752773

What OpenQuestion holds

Textmetadata
LicenceTDM
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.