Fan Yan, Ma Yan, Wang Rui, Wang Lili
Department of Neurology, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Department of Hyperbaric Oxygen, Liaocheng People's Hospital, Liaocheng, Shandong, China.
Clin Appl Thromb Hemost. 2025 Jan-Dec;31:10760296241299792. doi: 10.1177/10760296241299792.
Carotid artery stenosis (CAS) may cause many cerebrovascular diseases, and a biomarker for screening and monitoring is needed. This study focused on the clinical significance of long-chain non-coding RNA (lncRNA) non-coding RNA activated by DNA damage (NORAD) in patients with CAS and aimed to search for potential biomarkers of CAS.
Eighty-six asymptomatic patients with CAS and 60 healthy individuals were enrolled, with corresponding clinical data and serum samples collected. The expression of NORAD was detected by reverse transcription-quantitive PCR (RT-qPCR). All patients were followed up for 2 years to collected the occurrence data of cerebrovascular events, and Kaplan-Meier and Cox regression were used for data analysis. Receiver operator characteristic curve was used to analyze the diagnostic value of NORAD in distinguishing CAS patients from healthy people, and to evaluate the prediction accuracy of NORAD.
NORAD is overexpressed in the serum of CAS patients, and associated with patients' hypertension, TC, LDL-C levels and stenosis degree. NORAD has high sensitivity (88.37%) and specificity (80.00%) in the identification of CAS patients (AUC = 0.917). NORAD was independently related to the occurrence of cerebrovascular events (HR = 2.435, = .003). a logistic regression risk model for predicting cerebrovascular events was constructed with the parameters including NORAD, TC and LDL.
NORAD can be used as a diagnostic and prognostic biomarker for CAS, and NORAD, total cholesterol (TC), and low density lipoprotein cholesterol (LDL-C) can be independently correlated to predict cerebrovascular events.
颈动脉狭窄(CAS)可能引发多种脑血管疾病,因此需要一种用于筛查和监测的生物标志物。本研究聚焦于长链非编码RNA(lncRNA)DNA损伤激活的非编码RNA(NORAD)在CAS患者中的临床意义,旨在寻找CAS的潜在生物标志物。
纳入86例无症状CAS患者和60例健康个体,收集相应的临床资料和血清样本。采用逆转录定量PCR(RT-qPCR)检测NORAD的表达。对所有患者进行2年随访,收集脑血管事件的发生数据,采用Kaplan-Meier法和Cox回归进行数据分析。绘制受试者工作特征曲线,分析NORAD在区分CAS患者和健康人方面的诊断价值,并评估NORAD的预测准确性。
NORAD在CAS患者血清中高表达,且与患者的高血压、总胆固醇(TC)、低密度脂蛋白胆固醇(LDL-C)水平及狭窄程度相关。NORAD在识别CAS患者方面具有较高的敏感性(88.37%)和特异性(80.00%)(AUC = 0.917)。NORAD与脑血管事件的发生独立相关(HR = 2.435,P = 0.003)。以NORAD、TC和LDL为参数构建了预测脑血管事件的逻辑回归风险模型。
NORAD可作为CAS的诊断和预后生物标志物,且NORAD、总胆固醇(TC)和低密度脂蛋白胆固醇(LDL-C)可独立相关以预测脑血管事件。