MicroRNA sequencing of rat hippocampus and human biofluids identifies acute, chronic, focal and diffuse traumatic

Harris A Weisz1, Deborah Kennedy1, Steven Widen1

  • 1The University of Texas Medical Branch at Galveston, Galveston, TX, USA.

Scientific Reports
|February 26, 2020
PubMed

Insights

Circulating microRNAs (miRNAs) serve as molecular fingerprints for traumatic brain injury (TBI). This study identifies specific miRNAs in rats and humans, distinguishing acute, chronic, and focal TBI, and predicting neurodegenerative risks.

Area of Science:

  • Neuroscience
  • Genomics
  • Biomarker Discovery

Background:

  • Traumatic brain injury (TBI) diagnosis and classification can be improved by high-throughput sequencing.
  • Circulating microRNAs (miRNAs) show promise as noninvasive biomarkers for TBI.

Purpose of the Study:

  • To investigate TBI-induced changes in rat hippocampal and serum miRNAs up to one year post-injury.
  • To evaluate the translational potential of serum miRNAs as TBI biomarkers in humans.
  • To identify specific miRNA profiles associated with different TBI types and time points.

Main Methods:

  • miRNA sequencing (miRNA-seq) and miRNA PCR arrays were used in rat models (CCI and FPI) and human serum samples (acute and chronic TBI).
  • Bioinformatic analyses included Ingenuity Pathway Analysis, miRDB, and Qlucore Omics Explorer.
  • Gene targets of differentially expressed miRNAs were predicted.

Main Results:

  • Rat miRNA profiles detected TBI across acute and chronic intervals, with distinct profiles for CCI and FPI models.
  • Human miRNA profiles identified TBI across all time points and differentiated focal from diffuse injuries at 24 hours.
  • Predicted gene targets are involved in neuroplasticity, immune function, and neurorestoration.
  • Chronically dysregulated miRNAs are linked to psychiatric and neurodegenerative disorders.

Conclusions:

  • Circulating miRNAs can serve as "molecular fingerprints" for identifying acute, chronic, focal, or diffuse TBI.
  • Serum miRNA profiles may predict the presence of neurodegenerative sequelae following TBI.
  • miRNA-seq offers a powerful tool for TBI biomarker discovery and classification.

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