Global analyses of human immune variation reveal baseline predictors of postvaccination responses.

Tsang, John S and Schwartzberg, Pamela L and Kotliarov, Yuri and Biancotto, Angelique and Xie, Zhi and Germain, Ronald N and Wang, Ena and Olnes, Matthew J and Narayanan, Manikandan and Golding, Hana and Moir, Susan and Dickler, Howard B and Perl, Shira and Cheung, Foo (2014) Global analyses of human immune variation reveal baseline predictors of postvaccination responses. Cell, 157 (2). pp. 499-513. ISSN 1097-4172

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Abstract

A major goal of systems biology is the development of models that accurately predict responses to perturbation. Constructing such models requires the collection of dense measurements of system states, yet transformation of data into predictive constructs remains a challenge. To begin to model human immunity, we analyzed immune parameters in depth both at baseline and in response to influenza vaccination. Peripheral blood mononuclear cell transcriptomes, serum titers, cell subpopulation frequencies, and B cell responses were assessed in 63 individuals before and after vaccination and were used to develop a systematic framework to dissect inter- and intra-individual variation and build predictive models of postvaccination antibody responses. Strikingly, independent of age and pre-existing antibody titers, accurate models could be constructed using pre-perturbation cell populations alone, which were validated using independent baseline time points. Most of the parameters contributing to prediction delineated temporally stable baseline differences across individuals, raising the prospect of immune monitoring before intervention.

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