克罗恩病（CD）的发病机制涉及异常的免疫细胞浸润和免疫反应失调。因此，对 CD 免疫细胞异常的深入研究对于改善这种疾病的治疗至关重要。 CD 的单细胞 RNA 测序 (scRNA-seq) 和批量 RNA-seq 数据从基因表达综合 (GEO) 数据库获得。通过估计RNA转录本的相对子集（CIBERSORT）、加权基因共表达网络分析（WGCNA）、蛋白质-蛋白质相互作用（PPI）网络来鉴定细胞类型，评估免疫浸润细胞的比例，构建共表达网络并确定关键分别是基因。基于数据集 (GSE134809)，定义了 15 个细胞簇并标记为不同的细胞类型。在11个模块中，黄色模块与浆细胞关系最密切（簇5）。通过RNA测序和IHC检测证实，CD样本中COL5A2的表达高于对照样本。此外，与无反应组相比，抗肿瘤坏死因子（TNF）治疗有反应的患者组中 COL5A2 蛋白表达显着下降。这里描述的综合分析为 CD 相关免疫环境提供了新的见解。此外，COL5A2 被确定为 CD 的潜在诊断指标，以及 CD 患者有希望的预测标记。© 2024。作者。

The pathogenesis of Crohn's disease (CD) involves abnormal immune cell infiltration and dysregulated immune response. Therefore, thorough research on immune cell abnormalities in CD is crucial for improved treatment of this disease. Single-cell RNA sequencing (scRNA-seq) and bulk RNA-seq data of CD were obtained from the Gene Expression Omnibus (GEO) database. Cell-type identification by estimating relative subsets of RNA transcripts (CIBERSORT), weighted gene co-expression network analysis (WGCNA), protein-protein interaction (PPI) networks evaluated the proportion of immune infiltrating cells, constructed co-expression network and identified key genes, respectively. Based on the dataset (GSE134809), 15 cell clusters were defined and labeled as different cell types. Among the 11 modules, the yellow module had the closest relationship with plasma cells (cluster 5). Confirmed using RNA sequencing and IHC assay, the expression of COL5A2 in CD samples was higher than that in control samples. Furthermore, the COL5A2 protein expression remarkably decreased in the group of patients who responded to anti-tumor necrosis factor (TNF) treatments, compared to the non-response group. The comprehensive analyses described here provided novel insight into the landscape of CD-associated immune environment. In addition, COL5A2 were identified as potential diagnostic indicators for CD, as well as promising predictive markers for CD patients.© 2024. The Author(s).