■溃疡性结肠炎(UC)表现为肠道的慢性炎症,以持续的免疫系统失调为标志。二硫化物下垂,一种新发现的细胞死亡机制,与炎症的发生和进展密切相关。然而,在UC中的作用目前尚不清楚.
■我们在多个UC数据集中筛选了与二硫键凋亡相关的差异表达基因(DEGs),使用套索回归缩小目标基因数量,并进行了免疫浸润分析,构建了临床诊断模型。此外,在接受生物治疗的UC患者中,我们探讨了与二硫键下垂相关的关键基因与疾病缓解之间的关联.最后,我们证实了FHC细胞和UC组织样本中关键基因的表达。
■在差异分析中,我们确定了20个DEGs与二硫键升高相关。免疫浸润结果显示5个基因(PDLIM1、SLC7A11、MYH10、NUBPL、OXSM)与免疫细胞和途径表现出很强的相关性。使用GO,KEGG和WGCNA分析,我们发现,与二硫键下垂相关基因表达高度相关的基因模块在炎症相关通路中显著富集.此外,我们开发了一个列线图基于这5个免疫相关的双硫细胞凋亡基因诊断UC,显示出强大的诊断能力和临床疗效。Kaplan-Meier生存分析显示,这些细胞基因表达水平的变化与接受生物治疗的UC患者的疾病缓解之间存在显着联系。根据以前的研究,在UC细胞模型和组织样本中均观察到目标基因相似的表达变化.
■本研究利用生物信息学分析和机器学习来识别和分析多个UC数据集中与二硫键沉积相关的特征。这增强了我们对二硫键下垂在UC肠道免疫和炎症中的作用的理解,为开发UC的创新治疗方法提供新的视角。
UNASSIGNED: Ulcerative Colitis (UC) manifests as a chronic inflammatory condition of the intestines, marked by ongoing immune system dysregulation. Disulfidptosis, a newly identified cell death mechanism, is intimately linked to the onset and advancement of inflammation. However, the role of disulfidptosis in UC remains unclear.
UNASSIGNED: We screened differentially expressed genes (DEGs) associated with disulfidptosis in multiple UC datasets, narrowed down the target gene number using lasso regression, and conducted immune infiltration analysis and constructed a clinical diagnostic model. Additionally, we explored the association between disulfidptosis-related key genes and disease remission in UC patients receiving biologic therapy. Finally, we confirmed the expression of key genes in FHC cells and UC tissue samples.
UNASSIGNED: In the differential analysis, we identified 20 DEGs associated with disulfidptosis. Immune infiltration results revealed that five genes (PDLIM1, SLC7A11, MYH10, NUBPL, OXSM) exhibited strong correlations with immune cells and pathways. Using GO, KEGG and WGCNA analyses, we discovered that gene modules highly correlated with disulfidptosis-related gene expression were significantly enriched in inflammation-related pathways. Additionally, we developed a nomogram based on these five immune-related disulfidptosis genes for UC diagnosis, showing robust diagnostic capability and clinical efficacy. Kaplan-Meier survival analysis revealed a significant link between changes in the expression levels of these cell genes and disease remission in UC patients receiving biologic therapy. In line with previous studies, similar expression changes of the target gene were seen in both UC cell models and tissue samples.
UNASSIGNED: This study utilized bioinformatic analysis and machine learning to identify and analyze features associated with disulfidptosis in multiple UC datasets. This enhances our comprehension of the role disulfidptosis plays in intestinal immunity and inflammation in UC, providing new perspectives for developing innovative treatments for UC.