A crowdsourced analysis to identifyab initiomolecular signatures predictive of susceptibility to viral infection

Abstract

Respiratory viruses are highly infectious; however, the variation of individuals' physiologic responses to viral exposure is poorly understood. Most studies examining molecular predictors of response focus on late stage predictors, typically near the time of peak symptoms.To determine whether pre-or early post-exposure factors could predict response, we conducted a community-based analysis to identify predictors of resilience or susceptibility to several respiratory viruses (H1N1, H3N2, Rhinovirus, and RSV) using peripheral blood gene expression profiles collected from healthy subjects prior to viral exposure, as well as up to 24 hours following exposure. This analysis revealed that it is possible to construct models predictive of symptoms using profiles even prior to viral exposure. Analysis of predictive gene features revealed little overlap among models; however, in aggregate, these genes were enriched for common pathways. Heme Metabolism, the most significantly enriched pathway, was associated with higher risk of developing symptoms following viral exposure.

Host-Based Diagnostics for Acute Respiratory Infections

“…83 Indeed, some biological pathways and genes were identified that may confer innate susceptibility or resilience to infection. 84 Although these signatures are also relevant to the patient presenting with acute symptoms, the ability to identify an exposed but presymptomatic patient offers unique opportunities. For example, the motivation behind these human challenge studies was a Defense Advanced Research Projects Agency program called Predicting Health and Disease.…”