Serum BICC1 levels are significantly different in various mood disorders
Serum BICC1 levels are significantly different in various mood disorders
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不同情绪障碍患者血清BICC1水平存在显着差异
DOI：
10.2147/ndt.s190048
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发表时间：
2019-01-01
影响因子：
3.2
通讯作者：
Yuan, Yonggui
中科院分区：
文献类型：
--
作者：
Chen, Suzhen;Jiang, Haitang;Yuan, Yonggui
目的情绪障碍是一种反复发作的慢性疾病，伴有情绪状态和能量的波动，由于症状重叠，仅根据临床访谈而误诊是常见的。由于误诊可能导致治疗不当和预后不良，因此寻找一种易于实现的客观工具来区分不同的情绪障碍是非常必要和迫切的。然而，到目前为止，还没有一个公认的客观工具。最近，BICC1已被确定为与重度抑郁症（MDD）相关的候选基因。因此，本研究的目的是评估血清BICC1区分各种情绪障碍的能力，包括重度抑郁症和双相情感障碍的躁狂和抑郁期，即双相躁狂症（BM）和双相抑郁症（BD）。采用ELISA试剂盒检测无药MDD （n=30）、BM （n=30）和BD （n=13）患者以及匹配良好的健康对照（HC, n=30）的血清BICC1水平。采用Pearson相关分析分析血清BICC1水平与临床信息的相关性。采用受试者工作特征（ROC）曲线分析BICC1对不同心境障碍的差异判别电位。结果单因素方差分析显示，与HC组相比，各患者组血清BICC1水平均显著升高，且各对患者组间差异显著。相关分析发现，在任何研究组中，血清BICC1水平与任何临床变量均无关系。ROC曲线分析显示，血清BICC1能够准确区分三种情绪障碍，具有中等至优异的区分能力（ROC曲线下面积为0.787 ~ 1.0）。结论本初步研究结果提示不同心境障碍患者血清BICC1水平存在显著差异。本研究提供了初步证据，表明血清BICC1可能被视为一种有希望的、客观的、易于使用的诊断不同情绪障碍的工具。
Purpose Mood disorders are recurrent chronic disorders with fluctuating mood states and energy, and misdiagnosis is common when based solely on clinical interviews because of overlapping symptoms. Because misdiagnosis may lead to inappropriate treatment and poor prognosis, finding an easily implemented objective tool for the discrimination of different mood disorders is very necessary and urgent. However, there has been no accepted objective tool until now. Recently, BICC1 has been identified as a candidate gene relating to major depressive disorder (MDD). Therefore, the aim of this study is to evaluate the ability of serum BICC1 to discriminate between various mood disorders, including MDD and the manic and depressive phases of bipolar disorder, namely bipolar mania (BM) and bipolar depression (BD). Patients and methods Serum BICC1 levels in drug-free patients with MDD (n=30), BM (n=30), and BD (n=13), and well-matched healthy controls (HC, n=30) were measured with ELISA kits. Pearson correlation analyses were used to analyze the correlations between serum BICC1 levels and clinical information. Receiver operating characteristic (ROC) curve analysis was used to analyze the differential discriminative potential of BICC1 for different mood disorders. Results One-way ANOVA indicated that serum BICC1 levels were significantly increased in all patient groups compared with the HC group and significantly different between each pair of patient groups. Correlation analyses found no relationship between serum BICC1 levels and any clinical variables in any study group. ROC curve analysis showed that serum BICC1 could discriminate among all three mood disorders from each other accurately with fair-to-excellent discriminatory capacity (area under the ROC curve from 0.787 to 1.0). Conclusion The findings of this preliminary study indicated significant differences in serum BICC1 levels in patients with different mood disorders. This study provides preliminary evidence that serum BICC1 may be regarded as a promising, objective, easy-to-use tool for diagnosing different mood disorders.