Department of Pharmacy, Peking University First Hospital, No. 6, Dahongluochang Street, Xicheng District, Beijing 100034, China.
Department of Cardiology, Peking University First Hospital, No. 8, Xi Shi Ku Da Jie Street, Xicheng District, Beijing 100034, China.
Thromb Res. 2019 Sep;181:127-134. doi: 10.1016/j.thromres.2019.07.024. Epub 2019 Jul 26.
Venous thromboembolism (VTE) is a common cardiovascular disease, in which pulmonary embolism (PE) is potentially life-threatening. Accurate biological markers for the early diagnosis of VTE are needed. The purpose of this study was to analyze and validate the predictive value of microRNAs for the diagnosis of VTE.
A comprehensive literature review was conducted using the PubMed, Embase, and Cochrane Library databases and is current through Sep 27, 2018. The diagnostic value of microRNAs for VTE was analyzed by creating a summary receiver operating characteristic curve (SROC) and calculating the area under the curve (AUC).
Our analysis included 12 articles assessing a total of 1057 individuals. The most frequently researched microRNA was miR-134, and the pooled results of the predictive ability of this miRNA with 95% confidence intervals (CIs) showed an average sensitivity of 0.82 (0.69-0.91) and an average specificity of 0.83 (0.68-0.92). The average AUC for the SROC curves was 0.89 (0.86-0.92). For other microRNAs, AUC values >0.8 were considered as potential diagnostic indices. These microRNAs included miR-1233, miR-134, miR-145, miR-483-3p, miR-582, miR-532, and miR-195.
MicroRNAs may act as novel diagnostic biomarkers for VTE, and miR-1233, miR-134, miR-145, miR-483-3p, miR-582, miR-532, and miR-195 are prime candidates. Of these, research on miR-134 is the most extensive and reliable.
静脉血栓栓塞症（VTE）是一种常见的心血管疾病，其中肺栓塞（PE）可能危及生命。需要准确的生物标志物来早期诊断 VTE。本研究旨在分析和验证 microRNAs 对 VTE 的诊断价值。
通过使用 PubMed、Embase 和 Cochrane Library 数据库进行全面的文献回顾，检索截至 2018 年 9 月 27 日的文献。通过创建汇总受试者工作特征曲线（SROC）并计算曲线下面积（AUC）来分析 microRNAs 对 VTE 的诊断价值。
我们的分析包括 12 篇评估总共 1057 个人的文章。研究最多的 microRNA 是 miR-134，该 miRNA 的预测能力的汇总结果（95%置信区间 [CI]）显示平均敏感度为 0.82（0.69-0.91），平均特异性为 0.83（0.68-0.92）。SROC 曲线的平均 AUC 为 0.89（0.86-0.92）。对于其他 microRNAs，AUC 值>0.8 被认为是潜在的诊断指标。这些 microRNAs 包括 miR-1233、miR-134、miR-145、miR-483-3p、miR-582、miR-532 和 miR-195。
microRNAs 可能作为 VTE 的新型诊断生物标志物，miR-1233、miR-134、miR-145、miR-483-3p、miR-582、miR-532 和 miR-195 是潜在的候选物。其中，miR-134 的研究最为广泛和可靠。
