■炎症性肠病(IBD)和牙周炎(PD)相关,尽管其相关性背后的致病机制尚未阐明。本研究旨在通过转录组学分析探索IBD和PD的共同特征基因和潜在治疗靶标。
■GEO数据库用于下载IBD和PD的数据集,差异表达分析用于鉴定DEGs。然后,我们对共享基因进行了GO和KEGG富集分析。接下来,我们应用了4种机器学习(ML)算法(GLM,射频,GBM,和SVM)选择诊断疾病的最佳预测模型,获得IBD和PD的hub基因。通过验证集和qRT-PCR实验验证了标记基因的诊断价值。随后,通过ssGSEA分析IBD样品和PD样品中的免疫细胞浸润。最后,我们调查并验证了hub基因对英夫利昔单抗治疗的应答.
■我们通过与IBD和PD的DEGs相交鉴定了43个上调基因作为共有基因。功能富集分析表明,共有基因与免疫和炎症密切相关。ML算法和qRT-PCR结果表明,IGKC和COL4A1是对IBD和PD最具诊断价值的hub基因。随后,通过免疫浸润分析,CD4T细胞,NK细胞和中性粒细胞在IBD和PD的发病机制中起着至关重要的作用。最后,通过体内和体外实验,我们发现,在使用英夫利昔单抗治疗IBD患者期间,IGKC和COL4A1显著下调.
■我们使用转录组学分析研究了IBD和PD之间的潜在关联。IGKC和COL4A1基因被鉴定为这两种疾病的特征基因和新的干预靶标。英夫利昔单抗可用于治疗或预防IBD和PD。
UNASSIGNED: Inflammatory bowel disease (IBD) and periodontitis (PD) are correlated, although the pathogenic mechanism behind their correlation has not been clarified. This study aims to explore the common signature genes and potential therapeutic targets of IBD and PD using transcriptomic analysis.
UNASSIGNED: The GEO database was used to download datasets of IBD and PD, and differential expression analysis was used to identify DEGs. We then conducted GO and KEGG enrichment analyses of the shared genes. Next, we applied 4 machine learning (ML) algorithms (GLM, RF, GBM, and SVM) to select the best prediction model for diagnosing the disease and obtained the hub genes of IBD and PD. The diagnostic value of the signature genes was verified by a validation set and qRT‒PCR experiments. Subsequently, immune cell infiltration in IBD samples and PD samples was analyzed by ssGSEA. Finally, we investigated and validated the response of hub genes to infliximab therapy.
UNASSIGNED: We identified 43 upregulated genes as shared genes by intersecting the DEGs of IBD and PD. Functional enrichment analysis suggested that the shared genes were closely associated with immunity and inflammation. The ML algorithm and qRT‒PCR results indicated that IGKC and
COL4A1 were the hub genes with the most diagnostic value for IBD and PD. Subsequently, through immune infiltration analysis, CD4 T cells, NK cells and neutrophils were identified to play crucial roles in the pathogenesis of IBD and PD. Finally, through in vivo and in vitro experiments, we found that IGKC and
COL4A1 were significantly downregulated during the treatment of patients with IBD using infliximab.
UNASSIGNED: We investigated the potential association between IBD and PD using transcriptomic analysis. The IGKC and
COL4A1 genes were identified as characteristic genes and novel intervention targets for these two diseases. Infliximab may be used to treat or prevent IBD and PD.