Liu Yilin, Qin Fuyi, Yu Lei, Zhao Xinling, Long Qing, Ma Xiao, You Xu, Zhang Yunqiao, Chen Yatang, Zeng Yong
The Second Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, China.
Qujing Third People's Hospital, Qujing, Yunnan, China.
Psychiatry Clin Psychopharmacol. 2024 Dec 17;34(4):275-284. doi: 10.5152/pcp.2024.24882.
This study aimed to investigate miRNAs and upstream regulatory transcription factors involved in schizophrenia (SZ) pathogenesis.
Differential expression of miRNAs and genes in SZ patients was investigated utilizing the gene expression omnibus dataset, gene ontology annotations, and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis. Real-time quantitative polymerase chain reaction experiments were conducted to validate the predictive screening of regulatory genes in peripheral blood samples from 20 SZ patients and 20 healthy controls. The diagnostic potential of these factors within these samples was assessed via receiver operating characteristic (ROC) curve analyses.
Fifty-eight miRNAs were identified as differentially expressed in the peripheral blood of SZ patients. miR-26b-5p exhibited significantly reduced expression in SZ patients compared to healthy individuals. Additionally, 1422 mRNAs were differentially expressed, including 5 transcription factors potentially regulating miR-26b-5p expression. Among these, EGR1 and STAT1 displayed significantly lower expression levels in SZ patients. Receiver operating characteristic analysis revealed areas under the curve of 0.76 for miR-26b-5p, 0.74 for EGR1, 0.82 for STAT1, and 0.85 for the combined STAT1-miR-26b-5p diagnosis.
The reduced expression of miR-26b-5p, EGR1, and STAT1 in the peripheral blood of SZ patients, compared to healthy controls, suggests a strong association with SZ. These molecules represent potential diagnostic biomarkers, with the combined marker STAT1-miR-26b-5p potentially offering enhanced diagnostic accuracy.
本研究旨在调查参与精神分裂症(SZ)发病机制的微小RNA(miRNA)和上游调控转录因子。
利用基因表达综合数据集、基因本体注释和京都基因与基因组百科全书(KEGG)通路富集分析,研究SZ患者中miRNA和基因的差异表达。进行实时定量聚合酶链反应实验,以验证对20例SZ患者和20例健康对照外周血样本中调控基因的预测性筛选。通过受试者工作特征(ROC)曲线分析评估这些样本中这些因素的诊断潜力。
58种miRNA被鉴定为在SZ患者外周血中差异表达。与健康个体相比,miR-26b-5p在SZ患者中表达显著降低。此外,1422种mRNA差异表达,包括5种可能调控miR-26b-5p表达的转录因子。其中,早期生长反应蛋白1(EGR1)和信号转导和转录激活因子1(STAT1)在SZ患者中表达水平显著降低。ROC分析显示,miR-26b-5p的曲线下面积为0.76,EGR1为0.74,STAT1为0.82,联合STAT1-miR-26b-5p诊断的曲线下面积为0.85。
与健康对照相比,SZ患者外周血中miR-26b-5p、EGR1和STAT1表达降低,表明与SZ密切相关。这些分子代表潜在的诊断生物标志物,联合标志物STAT1-miR-26b-5p可能提高诊断准确性。