AI Article Synopsis

  • The study investigates the expression profiles of circular RNAs (circRNAs) in patients with intracerebral hemorrhage (ICH) using RNA sequencing and RT-PCR across two cohorts.
  • Researchers found 125 and 284 differentially expressed circRNAs in ICH patients compared to healthy controls in the discovery and validation cohorts, respectively, with nine circRNAs consistently altered.
  • The circRNAs hsa_circ_0005505, circERBB2, and circCHST12 showed high potential as biomarkers for diagnosing ICH, with strong sensitivity and specificity when combined with ICH risk factors.

Article Abstract

Background: The roles and potential diagnostic value of circRNAs in intracerebral hemorrhage (ICH) remain elusive.

Methods: This study aims to investigate the expression profiles of circRNAs by RNA sequencing and RT-PCR in a discovery cohort and an independent validation cohort. Bioinformatics analysis was performed to identify the potential functions of circRNA host genes. Machine learning classification models were used to assess circRNAs as potential biomarkers of ICH.

Results: A total of 125 and 284 differentially expressed circRNAs (fold change > 1.5 and FDR < 0.05) were found between ICH patients and healthy controls in the discovery and validation cohorts, respectively. Nine circRNAs were consistently altered in ICH patients compared to healthy controls. The combination of the novel circERBB2 and circCHST12 in ICH patients and healthy controls showed an area under the curve of 0.917 (95% CI: 0.869-0.965), with a sensitivity of 87.5% and a specificity of 82%. In combination with ICH risk factors, circRNAs improved the performance in discriminating ICH patients from healthy controls. Together with hsa_circ_0005505, two novel circRNAs for differentiating between patients with ICH and healthy controls showed an AUC of 0.946 (95% CI: 0.910-0.982), with a sensitivity of 89.1% and a specificity of 86%.

Conclusion: We provided a transcriptome-wide overview of aberrantly expressed circRNAs in ICH patients and identified hsa_circ_0005505 and novel circERBB2 and circCHST12 as potential biomarkers for diagnosing ICH.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745062PMC
http://dx.doi.org/10.3389/fnins.2022.1002590DOI Listing

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