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

Research output: Contribution to journalArticle

60 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)89-103
Number of pages15
JournalSeminars in Immunology
Volume25
Issue number2
DOIs
StatePublished - Apr 2013

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Keywords

  • Adaptive immunity
  • Adversomics
  • Biotechnology
  • Computational biology
  • Genomics
  • Immune response network theory
  • Immunogenetics
  • Individualized medicine
  • Individualized vaccinology
  • Modeling
  • Predictive equation
  • Proteomics
  • Systems biology
  • Vaccination
  • Vaccines
  • Vaccinomics

ASJC Scopus subject areas

  • Immunology and Allergy
  • Immunology

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