A Bioinformatic Study of Genetics Involved in Determining Mild Traumatic Brain Injury Severity and Recovery
Mahnaz Tajik, Michael D. Noseworthy

TL;DR
This study identifies genes and miRNAs linked to mild traumatic brain injury severity and recovery, suggesting potential biomarkers for diagnosis.
Contribution
The study identifies novel hub genes and miRNAs associated with mTBI outcomes using bioinformatic analysis of public datasets.
Findings
Eleven hub genes (e.g., APOE, S100B) were linked to mTBI outcomes and neuronal regeneration pathways.
Eight miRNAs (e.g., hsa-miR-10a-5p) were associated with mTBI candidate genes and injury-related changes.
RNA sequencing revealed 2664 differentially expressed miRNAs post-mTBI, with some correlated to head impact.
Abstract
Objectives: This in silico study sought to identify specific biomarkers for mild traumatic brain injury (mTBI) through the analysis of publicly available gene and miRNA databases, hypothesizing their influence on neuronal structure, axonal integrity, and regeneration. Methods: This study implemented a three-step process: (1) data searching for mTBI-related genes in Gene and MalaCard databases and literature review, (2) data analysis involved performing functional annotation through GO and KEGG, identifying hub genes using Cytoscape, mapping protein–protein interactions via DAVID and STRING, and predicting miRNA targets using miRSystem, miRWalk2.0, and mirDIP, and (3) RNA-sequencing analysis applied to the mTBI dataset GSE123336. Results: Eleven candidate hub genes associated with mTBI outcome were identified: APOE, S100B, GFAP, BDNF, AQP4, COMT, MBP, UCHL1, DRD2, ASIC1, and CACNA1A.…
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Taxonomy
TopicsS100 Proteins and Annexins · Traumatic Brain Injury Research · Traumatic Brain Injury and Neurovascular Disturbances
