期刊
SEMINARS IN IMMUNOLOGY
卷 25, 期 2, 页码 89-103出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.smim.2013.04.007
关键词
Adaptive immunity; Biotechnology; Computational biology; Genomics; Immunogenetics; Individualized medicine; Proteomics; Systems biology; Vaccination; Vaccines; Modeling; Vaccinomics; Adversomics; Predictive equation; Immune response network theory; Individualized vaccinology
类别
资金
- National Institute of Allergy And Infectious Diseases of the National Institutes of Health [U01AI089859, R37AI048793, R01AI033144, HHSN266200400065C (AI40065)]
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. (c) 2013 Elsevier Ltd. All rights reserved.
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