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Systems biology approach predicts immunogenicity of the yellow fever vaccine in humans
Open accessAbstract
A major challenge in vaccinology is to prospectively determine vaccine efficacy. Here we have used a systems biology approach to identify early gene 'signatures' that predicted immune responses in humans vaccinated with yellow fever vaccine YF-17D. Vaccination induced genes that regulate virus innate sensing and type I interferon production. Computational analyses identified a gene signature, including complement protein C1qB and eukaryotic translation initiation factor 2 alpha kinase 4—an orchestrator of the integrated stress response—that correlated with and predicted YF-17D CD8+ T cell responses with up to 90% accuracy in an independent, blinded trial. A distinct signature, including B cell growth factor TNFRS17, predicted the neutralizing antibody response with up to 100% accuracy. These data highlight the utility of systems biology approaches in predicting vaccine efficacy.
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Metadata
- Authors
- Querec, T. D., Akondy, R. S., Lee, E. K., Cao, W., Nakaya, H. I., Teuwen, D., Pirani, A., Gernert, K., Deng, J., Marzolf, B., Kennedy, K., Wu, H., Bennouna, S., Oluoch, H., Miller, J., Vencio, R. Z., Mulligan, M., Aderem, A., Ahmed, R., & Pulendran, B.
- Venue
- Nature Immunology
- Published
- 2008-11-23
- Volume
- 10
- Issue
- 1
- Pages
- 116-125
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- OpenAlex
- W2144902263
- Cited by
- 1,121
- References
- 2
- FWCI
- 21.44
- Type
- journal article
- Language
- en
- Open access
- bronze
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