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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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Innate antiviral responses by means of TLR7-mediated recognition of single-stranded RNA
Diebold, S. S., Kaisho, T., Hemmi, H., Akira, S., & Reis e Sousa, C. (2004) · Science · doi:10.1126/science.1093616 · Cited by 3,444
The CD28 Signaling Pathway Regulates Glucose Metabolism
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“32).”
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Variation in the Human Immune System Is Largely Driven by Non-Heritable Influences
Brodin, P., Jojic, V., Gao, T., Bhattacharya, S., Angel, C. J. L., Furman, D., Shen-Orr, S., Dekker, C. L., Swan, G. E., Butte, A. J., et al. (2015) · Cell · doi:10.1016/j.cell.2014.12.020 · Cited by 1,065
Brodin, P., & Davis, M. M. (2017) · Nature reviews. Immunology · doi:10.1038/nri.2016.125 · Cited by 730
T-cell exhaustion, co-stimulation and clinical outcome in autoimmunity and infection
McKinney, E. F., Lee, J. C., Jayne, D. R. W., Lyons, P. A., & Smith, K. G. C. (2015) · Nature · doi:10.1038/nature14468 · Cited by 685
B cell memory: building two walls of protection against pathogens
Akkaya, M., Kwak, K., & Pierce, S. K. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-019-0244-2 · Cited by 626
Systems vaccinology of the BNT162b2 mRNA vaccine in humans
Arunachalam, P. S., Scott, M. K. D., Hagan, T., Li, C., Feng, Y., Wimmers, F., Grigoryan, L., Trisal, M., Edara, V. V., Lai, L., et al. (2021) · Nature · doi:10.1038/s41586-021-03791-x · Cited by 572
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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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- 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. (2009). Systems biology approach predicts immunogenicity of the yellow fever vaccine in humans. Nature Immunology. https://doi.org/10.1038/ni.1688
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