Wei Honghui, Kong Lingming, Zhu Xiaoli, Chen Shengdong, Zhang Liyi, Niu Wei
Department of Geriatric Psychiatry, Zhejiang Mental Health Center, Tongde Hospital of Zhejiang Province, Zhejiang, China.
Prevention and Treatment Center for Psychological Diseases, No.904 Hospital of Chinese People's Liberation Army, Jiangsu, China.
Alpha Psychiatry. 2024 Jan 1;25(1):23-29. doi: 10.5152/alphapsychiatry.2024.231216. eCollection 2024 Jan.
Schizophrenia patients often have personality disorders; schizophrenia patients with personality disorders are more difficult to treat and have a worse prognosis. Early identification of this group of patients and early intervention can achieve better prognosis. Therefore, it is very important to explore effective biomarkers and early diagnosis for the prognosis of schizophrenia. The primary purpose of this paper is to explore the relationship between plasma miRNA expression level and personality disorder with schizophrenia.
Gene microarrays in miRNA files were employed, and the plasma of peripheral blood of 82 schizophrenic patients and 43 healthy control subjects were examined. Real-time reverse transcription polymerase chain reaction detection were performed to explore the results. Spearman correlation analysis was used to analyze the correlation between expression level of miRNAs and Personality Diagnosis Questionnaire-4 score.
The results showed that miR-1273d, miR-1303, miR-3064-5p, miR-3131, miR-3687, miR-4428, miR-4725-3p, and miR-5096 were up-regulated in schizophrenic patients. Compared to healthy control subjects, the difference was statistically significant ( < .05). Schizophrenic patients with schizoid, paranoid, schizotypal, and obsessive compulsive traits had negative correlation with miR-1303, miR-3131, miR-4428, and miR-5096 expression level ( = -0.40 to -0.62, < .05); there were no significant differences in the other miRNAs. Correlation with other personality traits was not significant ( > .05). The stepwise regression analysis indicated that miR-5096, miR-3131, and miR-1273d have a significant predictive effect on the schizoid trait ( < .01). MiR-4428 and miR-1303 had a significant predictive effect on the schizotypal trait ( < .01). MiR-5096, miR-4428, and miR-4725-3P had a significant predictive effect on the paranoid trait ( < .05). MiR-4428, miR-1303, and miR-5096 had a significant predictive effect on the obsessive compulsive trait ( < .05).
The expression levels of miR-1273d, miR-1303, miR-3064-5p, miR-3131, miR-3687, miR-4428, miR-4725-3p, and miR-5096 were up-regulated in the peripheral blood of patients with schizophrenia, and these miRNAs are expected to be diagnostic biomarkers for accurate diagnosis of schizophrenia. The expression levels of miR-1303, miR-3131, miR-1273d, miR-4428, miR-4725-3p, and miR-5096 have significant predictive effects on personality disorder in schizophrenia.
精神分裂症患者常伴有人格障碍；伴有人格障碍的精神分裂症患者更难治疗且预后更差。早期识别这组患者并进行早期干预可获得更好的预后。因此，探索有效的生物标志物及早期诊断方法对精神分裂症的预后至关重要。本文的主要目的是探讨血浆微小RNA（miRNA）表达水平与精神分裂症伴有人格障碍之间的关系。
采用miRNA文件中的基因芯片，检测82例精神分裂症患者和43例健康对照者外周血血浆。进行实时逆转录聚合酶链反应检测以探究结果。采用Spearman相关性分析来分析miRNA表达水平与人格诊断问卷-4评分之间的相关性。
结果显示，miR-1273d、miR-1303、miR-3064-5p、miR-3131、miR-3687、miR-4428、miR-4725-3p和miR-5096在精神分裂症患者中上调。与健康对照者相比，差异具有统计学意义（P<0.05）。具有分裂样、偏执、分裂型和强迫特征的精神分裂症患者与miR-1303、miR-3131、miR-4428和miR-5096表达水平呈负相关（r=-0.40至-0.62，P<0.05）；其他miRNA无显著差异。与其他人格特征的相关性不显著（P>0.05）。逐步回归分析表明，miR-5096、miR-3131和miR-1273d对分裂样特征有显著预测作用（P<0.01）。miR-4428和miR-1303对分裂型特征有显著预测作用（P<0.01）。miR-5096、miR-4428和miR-4725-3P对偏执特征有显著预测作用（P<0.05）。miR-4428、miR-1303和miR-5096对强迫特征有显著预测作用（P<0.05）。
miR-1273d、miR-1303、miR-3064-5p、miR-3131、miR-3687、miR-4428、miR-4725-3p和miR-5096在精神分裂症患者外周血中表达上调，这些miRNA有望成为准确诊断精神分裂症的诊断生物标志物。miR-1303、miR-3131、miR-1273d、miR-4428、miR-4725-3p和miR-5096的表达水平对精神分裂症中的人格障碍有显著预测作用。
