Effect of Blast Exposure on Gene-Gene Interactions

TL;DR

This study investigates how repeated low-level blast exposure affects gene interactions related to immune and inflammatory responses, revealing disrupted subnetworks and potential targets for further research.

Contribution

It introduces a novel system approach using Bayesian networks on RNA-seq data to analyze blast-induced gene-gene interaction changes.

Findings

Disrupted immune and inflammatory subnetworks due to blast exposure

Identification of key genes with high transcript fold change

Hypothesized new targets for experimental validation

Abstract

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.