A genomics-based approach to assessment of vaccine safety and immunogenicity in children

White, Olivia J., McKenna, Katherine L., Bosco, Anthony, van den Biggelaar, Anita H. J., Richmond, Peter and Holt, Patrick G. (2012) A genomics-based approach to assessment of vaccine safety and immunogenicity in children. Vaccine, 30 10: 1865-1874. doi:10.1016/j.vaccine.2011.12.118

Author White, Olivia J.
McKenna, Katherine L.
Bosco, Anthony
van den Biggelaar, Anita H. J.
Richmond, Peter
Holt, Patrick G.
Title A genomics-based approach to assessment of vaccine safety and immunogenicity in children
Journal name Vaccine   Check publisher's open access policy
ISSN 0264-410X
Publication date 2012-02-27
Year available 2011
Sub-type Article (original research)
DOI 10.1016/j.vaccine.2011.12.118
Volume 30
Issue 10
Start page 1865
End page 1874
Total pages 10
Place of publication Oxford, United Kingdom
Publisher Elsevier
Collection year 2012
Language eng
Abstract Immune responses to vaccines in infants and young children are typically Th2-biased, giving rise to concerns regarding potential atopy-like side effects, and antagonism of Th1-associated sterilising immunity. Conventional immunological methodology has limited capacity to effectively address these problems because of the inherent complexity of the immune responses involved. In the present study, we sought to develop an unbiased systems biology approach to elucidate superficially similar Th2-associated responses to paediatric vaccines and allergens, and to differentiate between them via gene coexpression network analysis. We demonstrate below that in immune responses to the diptheria/acellular pertussis/tetanus and pneumococcal polysaccharide conjugate vaccines, potentially antagonistic Th1-/IFN-associated and Th2-associated gene networks coexist in an apparent state of dynamic equilibrium, whereas in Th2-dominant allergen-specific responses of atopics the Th1 and IFN networks are respectively disrupted and downregulated. Capacity to detect and interpret these covert differences between responses to vaccines and allergens relies on the use of sophisticated algorithms that underpin coexpression network analysis, which identify genes that function co-ordinately in complex pathways. This methodology has significant potential to identify covert interactions between inflammatory pathways triggered by vaccination, and as such may be a useful tool in prediction of vaccinesafety/efficacy.
Keyword Immunisation
Cellular immunity
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Medicine Publications
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Citation counts: TR Web of Science Citation Count  Cited 13 times in Thomson Reuters Web of Science Article | Citations
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Created: Wed, 09 May 2012, 14:06:48 EST by Miss Olivia White on behalf of Medicine - Princess Alexandra Hospital