Jian Dan, Chen Jian, Yuan Jinping, Namrata Kunwar, Su Dan, Bai Bingxue
Department of Dermatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150000, People's Republic of China.
J Inflamm Res. 2025 Aug 27;18:11853-11868. doi: 10.2147/JIR.S527507. eCollection 2025.
Atopic dermatitis (AD) and ulcerative colitis (UC) are increasingly prevalent, and growing evidence suggests a potential link between them. However, the shared pathogenesis remains unclear. This study aims to identify the hub genes and immunological features underlying the connection between AD and UC.
In this study, we downloaded the GSE121212 and GSE75214 datasets from the GEO database. Differentially expressed genes (DEGs) were identified through DESeq2 and limma R packages, revealing enrichment in immune-related pathways such as neutrophil migration and chemokine signaling. Subsequently, weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network analysis were performed to identify common candidate genes. Three machine learning algorithms were employed to select the hub gene, and single-cell RNA sequencing was used to validate the findings.
Seven common candidate genes (CXCL1, CCL20, CXCL2, ZC3H12A, PI3, CXCL3, LCN2) were identified, showing significant expression differences in both diseases and associations with immune cell infiltration. Among them, PI3 emerged as the hub gene with strong diagnostic potential (AUC > 0.95) based on three machine learning models. Single-cell RNA sequencing supported high PI3 expression in UC intestinal epithelial cells and AD keratinocytes, with correlations to certain CCL and CXCL chemokines. These chemokines play overlapping roles in recruiting M1 macrophages, CD4 T cells, and neutrophils, thereby regulating inflammation in both AD and UC.
Our study uncovers shared immune cell recruitment mechanisms in both diseases, suggesting that CCR1 may serve as a potential common target. Additionally, PI3 is identified as a potential biomarker for both AD and UC, providing new insights into the mechanisms and potential connections between these diseases.
特应性皮炎(AD)和溃疡性结肠炎(UC)的发病率日益上升,越来越多的证据表明它们之间存在潜在联系。然而,共同的发病机制仍不清楚。本研究旨在确定AD和UC之间联系背后的核心基因和免疫特征。
在本研究中,我们从基因表达综合数据库(GEO数据库)下载了GSE121212和GSE75214数据集。通过DESeq2和limma R包鉴定差异表达基因(DEG),发现其在中性粒细胞迁移和趋化因子信号传导等免疫相关途径中富集。随后,进行加权基因共表达网络分析(WGCNA)和蛋白质-蛋白质相互作用(PPI)网络分析以确定常见候选基因。采用三种机器学习算法选择核心基因,并使用单细胞RNA测序验证结果。
鉴定出七个常见候选基因(CXCL1、CCL20、CXCL2、ZC3H12A、PI3、CXCL3、LCN2),它们在两种疾病中均表现出显著的表达差异,并与免疫细胞浸润相关。其中,基于三种机器学习模型,PI3作为具有强大诊断潜力(曲线下面积>0.95)的核心基因出现。单细胞RNA测序支持PI3在UC肠上皮细胞和AD角质形成细胞中高表达,并与某些CCL和CXCL趋化因子相关。这些趋化因子在招募M1巨噬细胞、CD4 T细胞和中性粒细胞中发挥重叠作用,从而调节AD和UC中的炎症。
我们的研究揭示了两种疾病中共同的免疫细胞招募机制,表明CCR1可能作为潜在的共同靶点。此外,PI3被鉴定为AD和UC的潜在生物标志物,为这些疾病之间的机制和潜在联系提供了新的见解。