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We have integrated systems-level transcriptional and functional data sets from stratified cohorts of subjects with a history of WNV infection to define whether these markers can distinguish susceptibility in a human population. Transcriptional profiles combined with immunophenotyping of primary cells identified a predictive signature of susceptibility that was detectable years after acute infection (67% accuracy), with the most prominent alteration being decreased IL1B induction following<jats:italic>ex vivo<\/jats:italic>infection of macrophages with WNV. Deconvolution analysis also determined a significant role for CXCL10 expression in myeloid dendritic cells. This systems analysis identified markers of pathogenic mechanisms and offers insights into potential therapeutic strategies.<\/jats:p>","DOI":"10.1128\/cvi.00508-14","type":"journal-article","created":{"date-parts":[[2014,10,30]],"date-time":"2014-10-30T04:43:44Z","timestamp":1414644224000},"page":"6-16","source":"Crossref","is-referenced-by-count":35,"title":["Systems Immunology Reveals Markers of Susceptibility to West Nile Virus 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