RNA-seq Identifies circRNAs Expression Profiles and Potential Biomarkers for Intracerebral Hemorrhage

Research Square (Research Square)(2020)

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摘要
Abstract Background: Circular RNAs (circRNAs) have shown promise as biomarkers because of their stability in peripheral blood, and they participate in various pathological processes of ischemic stroke; however, their expression profiles and the potential functions for intracerebral hemorrhage (ICH) stroke remain unclear. Methods: RNA sequencing was used to investigate the expression profiles of circRNA in a discovery sample of 129 subjects (44 patients with ICH, 42 hypertension (HTN) controls, and 43 patients with cerebral infarction (CI)), and an independent validation sample of 54 subjects (20 patients with ICH, 18 HTN controls, and 16 patients with CI). Quantitative real-time polymerase chain reaction was used to validate the circRNA expression levels. Logistic regression models were conducted to assess circRNAs as potential biomarkers for ICH. Bioinformatics analysis was performed to identify potential functions of circRNAs.Results: We found that 15 circRNAs including 5 upregulated circRNAs and 10 downregulated circRNAs were consistently altered only after ICH (fold change >1.5 and FDR < 0.05). We validated that hsa_circ_0001240 and hsa_circ_0001947 were upregulated and that hsa_circ_0001386 was downregulated in ICH compared with HTN and CI. The combination of 3 circRNAs showed an area under the curve of 0.92 with a sensitivity of 86% and a specificity of 88% for diagnosing ICH. Together with ICH risk factors, the circRNAs showed an area under the curve of 0.97 in diagnosing ICH. Functional analysis revealed circRNA target miRNA and mRNA are mainly involved in fatty acid biogenesis, lysine degradation, integrin cell surface interactions and the immune system.Conclusion: This is the first report to study the expression profile of circRNAs in peripheral blood after ICH, and a set of 3 circRNAs could serve as potential biomarkers for predicting and diagnosing ICH.
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potential biomarkers,rna-seq
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