Zhang Shuyan, Wu Jiajun, Wang Leilei, Zhang Cheng, Zhang Yinjian, Feng Yibin
Department of Ophthalmology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
School of Chinese Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Hum Genomics. 2025 Feb 26;19(1):19. doi: 10.1186/s40246-025-00730-z.
Dysfunctions within the liver system are intricately linked to the progression of diabetic retinopathy (DR) and non-alcoholic fatty liver disease (NAFLD). This study leverages systematic analysis to elucidate the complex cross-talk and communication pathways among diverse cell populations implicated in the pathogenesis of DR and NAFLD.
Single-cell RNA sequencing data for proliferative diabetic retinopathy (PDR) and NAFLD were retrieved from the Gene Expression Omnibus (GEO) database. Differential gene expression analysis was conducted and followed by pseudo-time analysis to delineate dynamic changes in core cells and differentially expressed genes (DEGs). CellChat was employed to predict intercellular communication and signaling pathways. Additionally, gene set enrichment and variation analyses (GSEA and GSVA) were performed to uncover key functional enrichments.
Our comparative analysis of the two datasets focused on T cells, macrophages and endothelial cells, revealing SYNE2 as a notable DEG. Notably, common genes including PYHIN1, SLC38A1, ETS1 (T cells), PPFIBP1, LIFR, HSPG2 (endothelial cells), and MSR1 (macrophages), emerged among the top 50 DEGs across these cell types. The CD45 signaling pathway was pivotal for T cells and macrophages, exerting profound effects on other cells in both PDR and NAFLD. Moreover, GSEA and GSVA underscored their involvement in cellular communication, immune modulation, energy metabolism, mitotic processes.
The comprehensive investigation of T cells, macrophages, endothelial cells, and the CD45 signaling pathway advances our understanding of the intricate biological processes underpinning DR and NAFLD. This research underscores the imperative of exploring immune-related cell interactions, shedding light on novel therapeutic avenues in these disease contexts.
肝脏系统功能障碍与糖尿病视网膜病变(DR)和非酒精性脂肪性肝病(NAFLD)的进展密切相关。本研究利用系统分析来阐明参与DR和NAFLD发病机制的不同细胞群体之间复杂的相互作用和通讯途径。
从基因表达综合数据库(GEO)中检索增殖性糖尿病视网膜病变(PDR)和NAFLD的单细胞RNA测序数据。进行差异基因表达分析,随后进行伪时间分析,以描绘核心细胞和差异表达基因(DEG)的动态变化。使用CellChat预测细胞间通讯和信号通路。此外,进行基因集富集和变异分析(GSEA和GSVA)以发现关键的功能富集。
我们对这两个数据集的比较分析聚焦于T细胞、巨噬细胞和内皮细胞,发现SYNE2是一个显著的差异表达基因。值得注意的是,包括PYHIN1、SLC38A1、ETS1(T细胞)、PPFIBP1、LIFR、HSPG2(内皮细胞)和MSR1(巨噬细胞)在内的常见基因出现在这些细胞类型的前50个差异表达基因中。CD45信号通路对T细胞和巨噬细胞至关重要,在PDR和NAFLD中对其他细胞都有深远影响。此外,GSEA和GSVA强调了它们参与细胞通讯、免疫调节、能量代谢、有丝分裂过程。
对T细胞、巨噬细胞、内皮细胞和CD45信号通路的全面研究推进了我们对DR和NAFLD复杂生物学过程的理解。这项研究强调了探索免疫相关细胞相互作用的必要性,为这些疾病背景下的新治疗途径提供了线索。