Systems biology approach predicts immunogenicity of the yellow fever vaccine in humans
Troy D Querec, Rama S Akondy, Eva K Lee, Weiping Cao, Helder I Nakaya, Dirk Teuwen, Ali Pirani, Kim Gernert, Jiusheng Deng, Bruz Marzolf, Kathleen Kennedy, Haiyan Wu, Soumaya Bennouna, Herold Oluoch, Joseph Miller, Ricardo Z Vencio, Mark Mulligan, Alan Aderem, Rafi Ahmed, Bali Pulendran, Troy D Querec, Rama S Akondy, Eva K Lee, Weiping Cao, Helder I Nakaya, Dirk Teuwen, Ali Pirani, Kim Gernert, Jiusheng Deng, Bruz Marzolf, Kathleen Kennedy, Haiyan Wu, Soumaya Bennouna, Herold Oluoch, Joseph Miller, Ricardo Z Vencio, Mark Mulligan, Alan Aderem, Rafi Ahmed, Bali Pulendran
Abstract
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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Source: PubMed