Serum miRNA as a possible biomarker in the diagnosis of bipolar II disorder
Serum miRNA as a possible biomarker in the diagnosis of bipolar II disorder
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DOI：
10.1038/s41598-020-58195-0
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发表时间：
2020-01-24
影响因子：
4.6
通讯作者：
Tsai, Kuo-Wang
中科院分区：
文献类型：
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作者：
Lee, Sheng-Yu;Lu, Ru-Band;Tsai, Kuo-Wang
双相II型障碍（BD-II）的诊断目前是基于患者的症状描述和临床行为观察。本研究探讨了外周血（血清）中miRNA作为BD-II特异性生物标志物的可能性。我们使用下一代测序鉴定了6种候选miRNAs以区分BD-II患者和对照。然后，我们使用实时PCR在79个BD-II和95个对照的第一队列（作为训练组）中检查这些候选miRNAs。基于这些候选miRNA构建诊断模型，然后在单个测试组（BD-II：n = 20，对照：n = 20）上进行测试。我们发现，与第一队列中的对照组相比，BD-II中miR-7- 5 p、miR-23 b-3 p、miR-142- 3 p、miR-221- 5 p和miR-370- 3 p的血清表达水平显著增加，而miR-145- 5 p的血清表达水平无显著差异。使用受试者工作特征（ROC）进一步分析鉴定的miRNA的诊断能力。支持向量机（SVM）测量结果显示，显著的miRNA的组合达到了良好的诊断准确性（AUC：0.907）。我们进一步检查了一个独立的测试组，BD-II的诊断能力达到了一般水平（特异性= 90%，灵敏度= 85%）。我们使用SVM模型构建了miRNA面板，这可能有助于BD-II的诊断。
The diagnosis of Bipolar II disorder (BD-II) is currently based on the patients' description of symptoms and clinical behavioral observations. This study explored the possibility of miRNA in peripheral blood (serum) as a specific biomarker for BD-II. We identified 6 candidate miRNAs to differentiate BD-II patients from controls using next-generation sequencing. We then examined these candidate miRNAs using real-time PCR in the first cohort (as training group) of 79 BD-II and 95 controls. A diagnostic model was built based on these candidate miRNAs and then tested on an individual testing group (BD-II: n = 20, controls: n = 20). We found that serum expression levels of miR-7-5p, miR-23b-3p, miR-142-3p, miR-221-5p, and miR-370-3p significantly increased in BD-II compared with controls in the first cohort, whereas that of miR-145-5p showed no significant difference. The diagnostic power of the identified miRNAs was further analyzed using receiver-operating characteristic (ROC). Support vector machine (SVM) measurements revealed that a combination of the significant miRNAs reached good diagnostic accuracy (AUC: 0.907). We further examined an independent testing group and the diagnostic power reached fair for BD-II (specificity = 90%, sensitivity = 85%). We constructed miRNA panels using SVM model, which may aid in the diagnosis for BD-II.