Bipolar disorders are known as chronic, recurrent, and heterogenic diseases. Regarding, diagnosis and treatment of them are very complex. The molecular mechanism and pathophysiology of bipolar disorder are slightly known. Accordingly, long noncoding RNAs are considered as one of the main factors that are dysfunctional in many diseases such as the nervous system diseases. Hence, we aim to investigate the expression of two long non coding RNAs, MALAT1 and UCA1, in patients in bipolar disorder. The levels of MALAT1 and UCA1 lncRNA were evaluated in peripheral blood mononuclear cells (PBMCs) of 50 bipolar patients and 50 healthy controls with real-time PCR. Also, ROC curve analysis and correlation analysis were performed between the gene expression and some clinical features of bipolar individuals. The significant decline of MALAT1 expression level was found in the patients compared to controls; but no significant difference was observed in the UCA1 expression level between the patients and controls. Furthermore, computational analysis of CpG Islands and miRNAs binding sites on LncRNAs, MALAT1, and UCA1 was conducted. Also, The ROC curve area (AUC) of MALAT1 was 0.80. The current results suggest that the expression level of MALAT1 could serve as a potential diagnostic biomarker for bipolar patients.

双相情感障碍被称为慢性、复发性和异源性疾病。关于它们的诊断和治疗非常复杂。双相情感障碍的分子机制和病理生理学尚不清楚。因此，长链非编码 RNA 被认为是在神经系统疾病等许多疾病中功能失调的主要因素之一。因此，我们旨在研究双相情感障碍患者中两种长链非编码 RNA MALAT1 和 UCA1 的表达。采用实时 PCR 技术评估了 50 名双相情感障碍患者和 50 名健康对照者的外周血单个核细胞 (PBMC) 中的 MALAT1 和 UCA1 lncRNA 水平。此外，还对双相个体的基因表达与一些临床特征进行了ROC曲线分析和相关性分析。与对照组相比，患者的 MALAT1 表达水平显着下降；但在患者和对照组之间没有观察到UCA1表达水平的显着差异。此外，还对 LncRNA、MALAT1 和 UCA1 上的 CpG 岛和 miRNA 结合位点进行了计算分析。此外，MALAT1 的 ROC 曲线面积 (AUC) 为 0.80。目前的结果表明，MALAT1 的表达水平可以作为双相情感障碍患者的潜在诊断生物标志物。