Thursday, April 13, 2017

BISTRO - Yaya Zhai

4:00 PM

2036 Palmer Commons

BISTRO is restricted to U-M Bioinformatics Graduate Program students and faculty.


"Baseline Bio-molecular Models to Predict Infectious Disease Susceptibility"


A virus challenge study is a practical method for investigating the personalized onset and development of infectious diseases. Several researches have attempted to reveal the temporal pattern of host transcriptomic responses to acute respiratory viral infections, including human rhinovirus infection. Different pathways were proposed to be responsible for subjects being symptomatic or asymptomatic. However, little is known about non-transcriptomic host responses during infection or molecular signatures before infection. To delineate a personalized baseline of biomolecular features, a human rhinovirus challenge study was designed and performed, in which healthy volunteers were inoculated with rhinovirus with their physiological, molecular, cognitive responses and self-reported symptoms measured and recorded at multiple time points both before and after inoculation. An acute respiratory viral infection gene expression signature was verified in severely infected subjects. Pilot data analysis suggested that baseline normalization could improve susceptibility prediction, and that metabolomic data provides extra power in addition to transcriptomic responses.