Long noncoding RNA NEAT1 correlates with higher disease risk, worse disease condition, decreased miR-124 and miR-125a and predicts poor recurrence-free survival of acute ischemic stroke

长链非编码RNA NEAT1与较高的疾病风险、较差的疾病状况、miR-124和miR-125a表达降低相关,并可预测急性缺血性卒中患者的无复发生存期较差。

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Abstract

OBJECTIVE: This study aimed to investigate the predictive value of long noncoding RNA nuclear enriched abundant transcript 1 (lncRNA NEAT1) for acute ischemic stroke (AIS) risk and to explore the correlation of lncRNA NEAT1 with disease severity, inflammation, recurrence and target microRNAs in patients with AIS. METHODS: 210 patients with AIS and 210 controls were enrolled, and their peripheral blood samples were collected within 24 hours after admission and collected on the enrollment, respectively. lncRNA NEAT1 expression was detected by quantitative polymerase chain reaction (qPCR). For patients with AIS, disease severity was evaluated by National Institute of Health Stroke Scale (NIHSS) score; plasma concentrations of inflammatory factors and lncRNA NEAT1 target microRNAs were measured by enzyme-linked immune sorbent assay and qPCR, respectively; stroke recurrence and death were recorded; and recurrence-free survival (RFS) was calculated. RESULTS: lncRNA NEAT1 expression was elevated in patients with AIS compared with controls, and it had a good predictive value for AIS risk (area under the curve [AUC]: 0.804 [95% confidence interval [CI]: 0.763-0.845]). In patients with AIS, lncRNA NEAT1 expression positively correlated with NIHSS score and inflammatory factor levels including C-reactive protein (CRP), tumor necrosis factor (TNF)-α, interleukin (IL)-6, IL-8, and IL-22, while it negatively correlated with anti-inflammatory cytokine IL-10 level. Besides, lncRNA NEAT1 predicted increased recurrence/death risk (AUC: 0.641 [95% CI: 0.541-0.741]), and its high expression correlated with worse RFS. Additionally, lncRNA NEAT1 expression negatively correlated with microRNA-124 and microRNA-125a expressions. CONCLUSION: LncRNA NEAT1 may serve as a novel biomarker for assisting AIS management and prognosis.

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