Liu Guina, Tan Mingqi, Liu Rui, Lu Xuejin, Jiang Xiaoshuang, Bai Yunpeng, Guo Zhigang, Lu Fang
Department of Ophthalmology, West China Hospital, Sichuan University, Chengdu, China.
Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China.
Front Genet. 2024 Jul 16;15:1378340. doi: 10.3389/fgene.2024.1378340. eCollection 2024.
Age-related macular degeneration (AMD) is a chronic and progressive macular degenerative disease that culminates in a gradual deterioration of central vision. Despite its prevalence, the key biomarkers for AMD have not yet been fully elucidated. In this study, we aimed to efficiently identify biomarkers crucial for diagnosing AMD. Three datasets pertaining to retinal pigment epithelium (RPE)/choroid tissues associated with AMD were selected from the GEO database. The GSE50195 dataset was utilized to conduct weighted gene co-expression network analysis (WGCNA) for identifying module genes linked to AMD. KEGG and GO enrichment analyses were subsequently conducted on these module genes. GSE29801 and GSE135092 datasets were subjected to differential expression analysis to pinpoint the DEGs intersecting with the module genes. Subsequently, wet AMD (wAMD) and dry AMD (dAMD) mouse models were developed, from which RPE/choroid tissues were harvested to validate the hub genes via RT-qPCR and Western blot. Using the WGCNA, we selected the "antiquewhite4" module ( = 0.91 and = 7e-07), which contains a total of 325 genes. Through the intersection of module genes with DEGs, nine hub genes were identified. Pathways involved in complement and coagulation cascades, ECM-receptor interactions, unsaturated fatty acid biosynthesis, and fatty acid elongation play important roles in AMD. Notably, CDH18 demonstrated notable variance across all three datasets. Post validation using RT-qPCR experiments revealed a significant downregulation of CDH18 in both dAMD and wAMD. EGLN3 was expressed at low levels in wAMD. In dAMD, EYA2, LTB, and PODXL were significantly downregulated, whereas APOC1 was notably upregulated. Western blot confirmed that CDH18 was lowly expressed in dAMD and wAMD mouse models. CDH18 was identified as the key gene involved in the pathogenesis of AMD. An imbalance of the complement and coagulation cascades is a potential mechanism of AMD. This study provides a novel idea for diagnosing and treating AMD in the future.
年龄相关性黄斑变性(AMD)是一种慢性进行性黄斑退行性疾病,最终会导致中心视力逐渐下降。尽管其发病率较高,但AMD的关键生物标志物尚未完全阐明。在本研究中,我们旨在有效识别对AMD诊断至关重要的生物标志物。从基因表达综合数据库(GEO)中选择了三个与AMD相关的视网膜色素上皮(RPE)/脉络膜组织数据集。利用GSE50195数据集进行加权基因共表达网络分析(WGCNA),以识别与AMD相关的模块基因。随后对这些模块基因进行京都基因与基因组百科全书(KEGG)和基因本体(GO)富集分析。对GSE29801和GSE135092数据集进行差异表达分析,以找出与模块基因相交的差异表达基因(DEGs)。随后,构建了湿性AMD(wAMD)和干性AMD(dAMD)小鼠模型,从中采集RPE/脉络膜组织,通过逆转录定量聚合酶链反应(RT-qPCR)和蛋白质免疫印迹法(Western blot)验证枢纽基因。通过WGCNA,我们选择了“antiquewhite4”模块(=0.91,=7e-07),该模块共包含325个基因。通过模块基因与DEGs的交集,确定了9个枢纽基因。补体和凝血级联反应、细胞外基质-受体相互作用、不饱和脂肪酸生物合成和脂肪酸延长途径在AMD中起重要作用。值得注意的是,钙黏蛋白18(CDH18)在所有三个数据集中均表现出显著差异。RT-qPCR实验验证后发现,CDH18在dAMD和wAMD中均显著下调。EGLN3在wAMD中低表达。在dAMD中,EYA2、LTB和Podocalyxin样蛋白(PODXL)显著下调,而载脂蛋白C1(APOC1)显著上调。蛋白质免疫印迹法证实,CDH18在dAMD和wAMD小鼠模型中低表达。CDH18被确定为参与AMD发病机制的关键基因。补体和凝血级联反应失衡是AMD的潜在机制。本研究为未来AMD的诊断和治疗提供了新思路。