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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Acknowledgements
We thank J. Connolly at the Luminex Core at Baylor Institute for Immunology Research for doing Luminex analyses, and N. Kozyr (CFAR Virology Core, Emory University) for doing RT-PCR. Supported by the US National Institutes of Health (U19 AI057266, R01 AI048638, R01 DK057665, U54 AI057157, N01 AI50019, N01 AI50025), Sanofi Pasteur and the Bill & Melinda Gates Foundation.
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Contributions
T.D.Q. performed all the experiments and analyses in Tables 1 and 3, Figures 1, 3 and 4 and Supplementary Figures 1, 2, 3, 4, 6 and 7; R.S.A. together with J.M., performed the analyses in Figure 2; E.K.L. performed the DAMIP model analyses in Tables 2 and 4; W.C. performed the experiments in Figure 5; D.T. facilitated the design and execution of trial 2; A.P., K.G., H.I.N. and R.Z.V. assisted with the bioinformatics analyses of the data; H.W. assisted with the statistical analyses; J.D. performed the experiment in Supplementary Figure 5; B.M. and K.K. performed the hybridization analyses; S.B. performed the experiments in Supplementary Figure 1c; H.O. assisted with the processing of samples; M.M. organized the clinical trials; A.A. coordinated computational and gene expression analysis and helped design the study; and R.A. helped conceive and design the study and supervised the studies in Figure 2. B.P. conceived the study and designed and supervised the experiments and analyses in Figures 1, 3, 4, 5 and Supplementary Figures 1, 2, 3, 4, 5, 6, 7. B.P. and T.D.Q. wrote the paper.
Corresponding author
Correspondence to Bali Pulendran.
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Competing interests
Part of this study was funded by a research grant from Sanofi Pasteur, which makes one of the yellow fever vaccines. D.T. was, until recently, an employee of Sanofi Pasteur.
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Supplementary Figures 1–8 and Supplementary Tables 1–4, Supplementary Methods (PDF 634 kb)
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Querec, T., Akondy, R., Lee, E. et al. Systems biology approach predicts immunogenicity of the yellow fever vaccine in humans. Nat Immunol 10, 116–125 (2009). https://doi.org/10.1038/ni.1688
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