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Abstract：
Osteoporosis (OP) and ulcerative colitis (UC), prevalent immune diseases, exert a substantial socioeconomic impact globally. This study identifies biomarkers for these diseases, paving the way for in-depth research. Initially, the Gene Expression Omnibus (GEO) database was employed to analyze datasets GSE35958 and GSE87466. This analysis aimed to pinpoint co-expression differential genes (DEGs) between OP and UC. Subsequently, the Metascape database facilitated the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of these DEGs\' co-expression. For network construction and visualization, the STRING11.5 database along with Cytoscape 3.7.2 (Cytoscape Team, USA) were utilized to create a protein-protein interaction (PPI) network. Moreover, Cytoscape\'s cytoHubba plugin was instrumental in identifying the central genes, known as hub genes. In the datasets GSE35958 and GSE87466, 156 co-expressed DEGs were discovered. The PPI network, constructed using STRING11.5 and Cytoscape 3.7.2, comprises 96 nodes and 222 connections. Notably, seven hub genes were identified, namely COL6A1, COL6A2, BGN, NID1, PLAU, TGFB1, and PLAUR. These DEGs were predominantly enriched in pathways such as extracellular matrix organization and collagen-containing extracellular matrix, as per GO analysis. For diagnostic model construction and hub gene validation, datasets GSE56815 and GSE107499 from the GEO database were employed. The top five hub genes were validated. In conclusion, the hub genes identified in this study played a significant role in the early diagnosis, prevention, and treatment of OP and UC. Furthermore, they provide fresh insights into the underlying mechanisms of these diseases\' development and progression.
摘要：
骨质疏松症（OP）和溃疡性结肠炎（UC），流行的免疫疾病，在全球范围内产生重大的社会经济影响。这项研究确定了这些疾病的生物标志物，为深入研究铺平道路。最初，基因表达综合(GEO)数据库用于分析数据集GSE35958和GSE87466。该分析旨在查明OP和UC之间的共表达差异基因(DEGs)。随后，Metascape数据库促进了基因本体论(GO)和京都基因和基因组百科全书(KEGG)对这些DEGs共表达的分析。对于网络建设和可视化，STRING11.5数据库以及Cytoscape3.7.2(Cytoscape团队，美国）用于创建蛋白质-蛋白质相互作用（PPI）网络。此外，Cytoscape的cytoHubba插件有助于识别中心基因，被称为枢纽基因。在数据集GSE35958和GSE87466中,发现了156个共表达的DEGs。PPI网络，使用STRING11.5和Cytoscape3.7.2构建，包括96个节点和222个连接。值得注意的是,确定了七个枢纽基因，即COL6A1，COL6A2，BGN，NID1,PLAU,TGFB1和PLAUR。这些DEGs主要富集在诸如细胞外基质组织和含胶原蛋白的细胞外基质等途径中，根据GO分析。对于诊断模型构建和枢纽基因验证，采用了GEO数据库中的数据集GSE56815和GSE107499。前五大hub基因进行了验证。总之,在这项研究中确定的hub基因在早期诊断中起着重要作用，预防,治疗OP和UC。此外，它们提供了对这些疾病发展和进展的潜在机制的新见解。
