Abstract：
OBJECTIVE: We aim to investigate the potential roles of key genes in the development of lupus nephritis (LN), screen key biomarkers, and construct the lncRNA XIST/miR-381-3P/STAT1 axis by using bioinformatic prediction combined with clinical validation, thereby providing new targets and insights for clinical research.
METHODS: Gene expression microarrays GSE157293 and GSE112943 were downloaded from the GEO database to obtain differentially expressed genes (DEGs), followed by enrichment analyses on these DEGs, which were enriched and analyzed to construct a protein-protein interaction (PPI) network to screen core genes. The lncRNA-miRNA-mRNA regulatory network was predicted and constructed based on the miRNA database. 37 female patients with systemic lupus erythematosus (SLE) were recruited to validate the bioinformatics results by exploring the diagnostic value of the target ceRNA axis in LN by dual luciferase and real-time fluorescence quantitative PCR (RT-qPCR) and receiver operating characteristic (ROC).
RESULTS: The data represented that a total of 133 differential genes were screened in the GSE157293 dataset and 2869 differential genes in the GSE112943 dataset, yielding a total of 26 differentially co-expressed genes. Six core genes (STAT1, OAS2, OAS3, IFI44, DDX60, and IFI44L) were screened. Biological functional analysis identified key relevant pathways in LN. ROC curve analysis suggested that lncRNA XIST, miR-381-3P, and STAT1 could be used as potential molecular markers to assist in the diagnosis of LN.
CONCLUSIONS: STAT1 is a key gene in the development of LN. In conclusion, lncRNA XIST, miR-381-3P, and STAT1 can be used as new molecular markers to assist in the diagnosis of LN, and the lncRNA XIST/miR-381-3P/STAT1 axis may be a potential therapeutic target for LN.
METHODS: Gene expression microarrays GSE157293 and GSE112943 were downloaded from the GEO database to obtain differentially expressed genes (DEGs), followed by enrichment analyses on these DEGs, which were enriched and analyzed to construct a protein-protein interaction (PPI) network to screen core genes. The lncRNA-miRNA-mRNA regulatory network was predicted and constructed based on the miRNA database. 37 female patients with systemic lupus erythematosus (SLE) were recruited to validate the bioinformatics results by exploring the diagnostic value of the target ceRNA axis in LN by dual luciferase and real-time fluorescence quantitative PCR (RT-qPCR) and receiver operating characteristic (ROC).
RESULTS: The data represented that a total of 133 differential genes were screened in the GSE157293 dataset and 2869 differential genes in the GSE112943 dataset, yielding a total of 26 differentially co-expressed genes. Six core genes (STAT1, OAS2, OAS3, IFI44, DDX60, and IFI44L) were screened. Biological functional analysis identified key relevant pathways in LN. ROC curve analysis suggested that lncRNA XIST, miR-381-3P, and STAT1 could be used as potential molecular markers to assist in the diagnosis of LN.
CONCLUSIONS: STAT1 is a key gene in the development of LN. In conclusion, lncRNA XIST, miR-381-3P, and STAT1 can be used as new molecular markers to assist in the diagnosis of LN, and the lncRNA XIST/miR-381-3P/STAT1 axis may be a potential therapeutic target for LN.
摘要：
目的：我们旨在研究关键基因在狼疮性肾炎（LN）发展中的潜在作用，屏幕关键生物标志物，生物信息学预测结合临床验证构建lncRNAXIST/miR-381-3P/STAT1轴,从而为临床研究提供新的靶点和见解。
方法：从GEO数据库下载基因表达微阵列GSE157293和GSE112943，以获得差异表达基因（DEGs），然后对这些DEG进行富集分析，对其进行富集和分析，以构建蛋白质-蛋白质相互作用（PPI）网络来筛选核心基因。基于miRNA数据库预测并构建了lncRNA-miRNA-mRNA调控网络。选取37例女性系统性红斑狼疮（SLE）患者，通过双荧光素酶和实时荧光定量PCR（RT-qPCR）和受试者工作特征（ROC）探讨LN中目标ceRNA轴的诊断价值，验证生物信息学结果。
结果：数据表示在GSE157293数据集中共筛选了133个差异基因，在GSE112943数据集中筛选了2869个差异基因，共产生26个差异共表达基因。筛选了六个核心基因(STAT1、OAS2、OAS3、IFI44、DDX60和IFI44L)。生物功能分析确定了LN中的关键相关途径。ROC曲线分析表明，lncRNAXIST，miR-381-3P,STAT1可作为辅助诊断LN的潜在分子标志物。
结论：STAT1是LN发生发展的关键基因。总之,lncRNAXIST,miR-381-3P,STAT1可作为新的分子标志物辅助诊断LN,和lncRNAXIST/miR-381-3P/STAT1轴可能是LN的潜在治疗靶标。
方法：从GEO数据库下载基因表达微阵列GSE157293和GSE112943，以获得差异表达基因（DEGs），然后对这些DEG进行富集分析，对其进行富集和分析，以构建蛋白质-蛋白质相互作用（PPI）网络来筛选核心基因。基于miRNA数据库预测并构建了lncRNA-miRNA-mRNA调控网络。选取37例女性系统性红斑狼疮（SLE）患者，通过双荧光素酶和实时荧光定量PCR（RT-qPCR）和受试者工作特征（ROC）探讨LN中目标ceRNA轴的诊断价值，验证生物信息学结果。
结果：数据表示在GSE157293数据集中共筛选了133个差异基因，在GSE112943数据集中筛选了2869个差异基因，共产生26个差异共表达基因。筛选了六个核心基因(STAT1、OAS2、OAS3、IFI44、DDX60和IFI44L)。生物功能分析确定了LN中的关键相关途径。ROC曲线分析表明，lncRNAXIST，miR-381-3P,STAT1可作为辅助诊断LN的潜在分子标志物。
结论：STAT1是LN发生发展的关键基因。总之,lncRNAXIST,miR-381-3P,STAT1可作为新的分子标志物辅助诊断LN,和lncRNAXIST/miR-381-3P/STAT1轴可能是LN的潜在治疗靶标。
