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Global Analyses of Human Immune Variation Reveal Baseline Predictors of Postvaccination Responses

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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE47353 | GEO | 2014/04/10

SECONDARY ACCESSION(S): PRJNA205279

REPOSITORIES: GEO

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Project description:The non-human primate (NHP) model (specifically rhesus and cynomolgus macaques) has facilitated our understanding of the pathogenic mechanisms of yellow fever (YF) disease and allowed evaluation of safety and efficacy of YF-17D vaccines. However, the accuracy of this model in mimicking vaccine-induced immunity in humans remains to be fully determined. We used a system biology approach to compare hematological, biochemical, transcriptomic, innate and antibody-mediated immune responses in cynomolgus macaques and human participants following YF-17D vaccination. Immune response progression in cynomolgus macaques followed a similar course as in adult humans, but with slightly earlier onset. Yellow fever virus neutralizing antibody responses occurred earlier in cynomolgus macaques (by Day 7 [D7]), but titers >10 were reached in both species by D14 post-vaccination and were not significantly different by D28 (PRNT50 titers 3.6 Log vs 3.5 Log in cynomolgus macaques and human participants, respectively; p = 0.821). Changes in neutrophils, NK cells, monocytes, T and B cell frequency were higher in cynomolgus macaques and persisted for four weeks versus less than two weeks in humans. Low levels of systemic inflammatory cytokines (IL-1Ra, IL-8, MIP-1α, IP-10, MCP-1 or VEGF) were detected in either or both species, but with no or only slight changes versus baseline. Similar changes in gene expression profiles were elicited in both species. These included enriched and up-regulated type I IFN-associated viral sensing, antiviral innate response, and dendritic cell activation pathways D3–D7 post-vaccination in both species. Hematological and blood biochemical parameters remained relatively unchanged versus baseline in both species. Low level YF-17D viremia (RNAemia) was transiently detected in some cynomolgus macaques (28% [5/18]) but generally absent in humans (except one participant [5%; 1/20]). Importance: Cynomolgus macaques were confirmed as a valid surrogate model for replicating YF-17D vaccine-induced responses in humans, and suggest a key role for type I IFN.

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Global Analyses of Human Immune Variation Reveal Baseline Predictors of Postvaccination Responses

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