Multicohort analysis reveals baseline transcriptional predictors of influenza vaccination responses

著者: HIPC-CHI Signatures Project Team, Stefan Avey, Foo Cheung, Damian Fermin, Jacob Frelinger, Renaud Gaujoux, Raphaël Gottardo, Purvesh Khatri, Steven H. Kleinstein, Yuri Kotliarov, Hailong Meng, Renan Sauteraud, Shai S. Shen-Orr, John S. Tsang, Francesco Vallania, Esperanza Anguiano, Jeanine Baisch, Nicole Baldwin, Robert B. Belshe, Tamara P. Blevins, Damien Chaussabel, Mark M. Davis, Erol Fikrig, Diane E. Grill, David A. Hafler, Evan Henrich, Samit R. Joshi, Susan M. Kaech, Rick B. Kennedy, Subhasis Mohanty, Ruth R. Montgomery, Ann L. Oberg, Gerlinde Obermoser, Inna G. Ovsyannikova, Karolina Palucka, Virginia Pascual, G. A. Poland, Bali Pulendran, Ellis L. Reinherz, Albert C. Shaw, Barbara Siconolfi, Kenneth Stuart, Sui Tsang, Ikuyo Ueda, Jean H. Wilson, Heidi Zapata - Science Immunology 2017 被引用: 165

) and three gene modules that were significantly associated with the magnitude of the antibody response, and these associations were validated in the independent CHI cohort. These signatures were specific to young individuals, suggesting that distinct mechanisms underlie the lower vaccine response in older individuals. We found an inverse correlation between the effect size of signatures in young and older individuals. Although the presence of an inflammatory gene signature, for example, was associated with better antibody responses in young individuals, it was associated with worse responses in older individuals. These results point to the prospect of predicting antibody responses before vaccination and provide insights into the biological mechanisms underlying successful vaccination responses.