| Literature DB >> 19029902 |
Troy D Querec1, Rama S Akondy1, Eva K Lee2, Weiping Cao1, Helder I Nakaya1, Dirk Teuwen3, Ali Pirani4, Kim Gernert4, Jiusheng Deng1, Bruz Marzolf5, Kathleen Kennedy5, Haiyan Wu5, Soumaya Bennouna1, Herold Oluoch1, Joseph Miller1, Ricardo Z Vencio5, Mark Mulligan1,6, Alan Aderem5, Rafi Ahmed1, Bali Pulendran1,7.
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.Entities:
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Year: 2008 PMID: 19029902 PMCID: PMC4049462 DOI: 10.1038/ni.1688
Source DB: PubMed Journal: Nat Immunol ISSN: 1529-2908 Impact factor: 25.606