학술논문
Systems biology approach predicts immunogenicity of the yellow fever vaccine in humans.
Document Type
Article
Author
Querec, Troy D; Akondy, Rama S; Lee, Eva K; Cao, Weiping; Nakaya, Helder I; Teuwen, Dirk; Pirani, Ali; Gernert, Kim; Deng, Jiusheng; Marzolf, Bruz; Kennedy, Kathleen; Wu, Haiyan; Bennouna, Soumaya; Oluoch, Herold; Miller, Joseph; Vencio, Ricardo Z; Mulligan, Mark; Aderem, Alan; Ahmed, Rafi; Pulendran, Bali
Source
Subject
Language
ISSN
1529-2908
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. [ABSTRACT FROM AUTHOR]