Faculty, Staff and Student Publications
Language
English
Publication Date
10-17-2025
Journal
iScience
DOI
10.1016/j.isci.2025.113569
PMID
41079605
PMCID
PMC12510045
PubMedCentral® Posted Date
9-12-2025
PubMedCentral® Full Text Version
Post-print
Abstract
Trauma remains a leading cause of morbidity and mortality in part due to complex pathophysiological responses. Yet our abilities to predict these changes are limited. Plasma miRNAs have been proposed as DAMPs that drive immune response and organ injury. Here, we test a panel of plasma miRNAs-selected based on next-generation sequencing and nucleotide motifs identified via a machine-learning algorithm-for their abilities to predict subclinical pathophysiological injuries. We find marked and severity-dependent increases in the miRNA biomarkers following trauma, which are closely associated with various injury markers. AUROC indicates that these biomarkers possess strong diagnostic and predictive abilities in overall trauma severity, organ injury, coagulation, endothelial activation, and inflammation. In a combined cohort of trauma and sepsis, miR-224-5p and miR-145-5p emerge as particularly effective in differentiating the two critical illnesses. These observations offer insights into potential values of the plasma miRNAs in the prediction of critical pathophysiological injury in trauma.
Keywords
Diagnostics, Health sciences, Internal medicine, Medicine, Traumatology
Published Open-Access
yes
Recommended Citation
Ren, Boyang; Li, Ruoxing; Lin, Chien-Yu; et al., "Nucleotide Motif-Guided Selection of Plasma microRNA Biomarkers in Trauma" (2025). Faculty, Staff and Student Publications. 6108.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/6108
Graphical Abstract
Included in
Bioinformatics Commons, Biomedical Informatics Commons, Genetic Phenomena Commons, Medical Genetics Commons, Oncology Commons