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  4. Circular RNA Expression Alteration and Bioinformatics Analysis in Rats After Traumatic Spinal Cord Injury

Circular RNA Expression Alteration and Bioinformatics Analysis in Rats After Traumatic Spinal Cord Injury

Front. Mol. Neurosci., 2019 · DOI: 10.3389/fnmol.2018.00497 · Published: January 14, 2019

Spinal Cord InjuryNeurologyBioinformatics

Simple Explanation

Spinal cord injury (SCI) is mostly caused by trauma, leading to primary mechanical injury and secondary injury. The study focuses on the pathophysiology and molecular mechanisms of SCI-induced secondary injury to find promising treatments. Circular RNAs (circRNAs) are associated with various diseases, but their functional roles in traumatic SCI are undetermined. This study examined circRNA expression profiles in the contused spinal cords of rats. Microarray and qRT-PCR were used to examine circRNA expression, and bioinformatics was used to predict their potential roles in post-SCI pathophysiology. The study aims to provide insights for SCI treatment by regulating circRNAs.

Study Duration
Not specified
Participants
12 female Sprague–Dawley rats
Evidence Level
Not specified

Key Findings

  • 1
    A total of 1676 differentially expressed circRNAs were found in spinal cord 3 days after contusion. 1261 circRNAs were significantly downregulated, whereas the remaining 415 were significantly upregulated.
  • 2
    Five selected circRNAs (rno_circRNA_005342, rno_circRNA_015513, rno_circRNA_002948, rno_circRNA_006096, and rno_circRNA_013017) were all significantly downregulated in the SCI group, demonstrating a similar expression pattern in both microarray and PCR data.
  • 3
    Bioinformatics analyses indicated carbohydrate metabolic process as one of the most significant enrichments, and the top two signaling pathways affected were the AMP-activated protein kinase signaling pathway and the peroxisome related pathway.

Research Summary

The study investigated circRNA expression patterns in rats after traumatic SCI using microarray and qRT-PCR, identifying 1676 differentially expressed circRNAs. Bioinformatics analysis predicted circRNA/miRNA/mRNA interactions, indicating that circRNAs may regulate target mRNAs by inhibiting the negative regulation of miRNAs. GO and KEGG pathway analyses revealed that target mRNAs are involved in metabolic activities, with the AMPK signaling pathway and peroxisome related pathway being the top two significant pathways.

Practical Implications

Treatment Targets

Identified circRNAs provide potential targets for SCI treatment.

Diagnostic Biomarkers

Differentially expressed circRNAs may serve as biomarkers for SCI diagnosis.

Therapeutic Strategies

CircRNA regulation could be explored for developing new therapeutic strategies for SCI.

Study Limitations

  • 1
    The circRNA/miRNA/mRNA network predicted by bioinformatics was not validated.
  • 2
    The relatively small group size for PCR experiments may limit the interpretation.
  • 3
    The potential effect of different time points on dynamic changes in circRNA expression was not examined.

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