溃疡性结肠炎是一种新兴的全球健康问题,对人类健康构成重大威胁,如果不及时诊断和治疗,可进展为结直肠癌。目前,临床上用于诊断和动态严重程度监测的生物标志物缺乏疾病特异性.
■2%诱导小鼠模型,2.5%,和3%DSS用于模拟具有不同严重程度的炎症的人类UC。转录组测序技术用于鉴定对照组和各治疗组之间的差异表达基因(DEGs)。对三个治疗组之间共享的DEG进行KEGG数据库的功能富集分析。使用Spearman相关性分析鉴定了与DSS浓度显著且强烈相关的DEGs。在同源基因数据库中搜索了感兴趣的DEGs的人类同源基因,他们在UC患者中的调控模式使用GSE224758数据集进行验证.然后将这些基因提交到DisGeNET数据库,以鉴定它们与人类疾病的已知关联。在线工具,包括SignalP6.0和DeepTMHMM1.0用于预测与感兴趣的DEGs同源的人类基因的氨基酸序列中的信号肽和跨膜螺旋。
■在2%中总共确定了1,230、995和2,214个DEG,2.5%,和3%DSS诱导组,分别,所有三组共有668个DEG。这些共享DEG主要与信令传输相关,发病机制,和免疫反应。通过广泛的筛选,LGI2和PRSS22被鉴定为潜在的新型生物标志物,具有更高的特异性和易于检测的人类UC的早期诊断和动态严重程度监测。分别。
■我们已经确定了两种潜在的新型生物标志物,LGI2和PRSS22,它们易于检测,对人类UC更具特异性。这些发现为这种持续性疾病的准确诊断和动态监测提供了新的见解。
UNASSIGNED: Ulcerative colitis is an emerging global health concern that poses a significant threat to human health and can progress to colorectal cancer if not diagnosed and treated promptly. Currently, the biomarkers used clinically for diagnosis and dynamic severity monitoring lack disease specificity.
UNASSIGNED: Mouse models induced with 2%, 2.5%, and 3% DSS were utilized to simulate human UC with varying severities of inflammation. Transcriptome sequencing technology was employed to identify differentially expressed genes (DEGs) between the control group and each treatment group. Functional enrichment analysis of the KEGG database was performed for shared DEGs among the three treatment groups. DEGs that were significantly and strongly correlated with DSS concentrations were identified using Spearman correlation analysis. Human homologous genes of the interested DEGs were searched in the HomoloGene database, and their regulation patterns in UC patients were validated using the GSE224758 dataset. These genes were then submitted to the DisGeNET database to identify their known associations with human diseases. Online tools, including SignalP 6.0 and DeepTMHMM 1.0, were used to predict signal peptides and transmembrane helices in the amino acid sequences of human genes homologous to the DEGs of interest.
UNASSIGNED: A total of 1,230, 995, and 2,214 DEGs were identified in the 2%, 2.5%, and 3% DSS-induced groups, respectively, with 668 DEGs common across all three groups. These shared DEGs were primarily associated with signaling transport, pathogenesis, and immune response. Through extensive screening, LGI2 and PRSS22 were identified as potentially novel biomarkers with higher specificity and ease of detection for the early diagnosis and dynamic severity monitoring of human UC, respectively.
UNASSIGNED: We have identified two potentially novel biomarkers, LGI2 and PRSS22, which are easy of detection and more specific for human UC. These findings provide new insights into the accurate diagnosis and dynamic monitoring of this persistent disease.