  Repeated exposure to low-level blast may initiate a range of adverse health
problem such as traumatic brain injury (TBI). Although many studies
successfully identified genes associated with TBI, yet the cellular mechanisms
underpinning TBI are not fully elucidated. In this study, we investigated
underlying relationship among genes through constructing transcript Bayesian
networks using RNA-seq data. The data for pre- and post-blast transcripts,
which were collected on 33 individuals in Army training program, combined with
our system approach provide unique opportunity to investigate the effect of
blast-wave exposure on gene-gene interactions. Digging into the networks, we
identified four subnetworks related to immune system and inflammatory process
that are disrupted due to the exposure. Among genes with relatively high fold
change in their transcript expression level, ATP6V1G1, B2M, BCL2A1, PELI,
S100A8, TRIM58 and ZNF654 showed major impact on the dysregulation of the
gene-gene interactions. This study reveals how repeated exposures to traumatic
conditions increase the level of fold change of transcript expression and
hypothesizes new targets for further experimental studies.
