眼科新进展2025，Vol.45Issue(8)：622-628,7.DOI:10.13389/j.cnki.rao.2025.0107
基于蛋白质组学和转录组学数据鉴定增生型糖尿病性视网膜病变的潜在生物标志物
Identification of potential biomarkers of proliferative diabetic retinopathy based on proteomics and transcriptomics data
摘要
Abstract
Objective To identify potential biomarkers for proliferative diabetic retinopathy(PDR)using proteomics and transcriptomics data.Methods In this study,the proteomics dataset(PXD046630)and two transcriptomics datasets(GSE60436 and GSE102485)were derived from the aqueous humor samples and fibrovascular membranes of PDR patients,respectively.Differentially expressed genes(DEGs)were identified via R software,specifically the limma and edgeR pack-ages.The shared DEGs between PXD046630 and GSE60436 were analyzed via protein-protein interaction(PPI),Gene On-tology(GO)enrichment,and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses.The key DEGs were validated in GSE102485 via receiver operating characteristic(ROC)curve analysis.A quantitative polymerase chain reaction(qPCR)assay was used to confirm the mRNA of these candidate biomarkers in human retinal microvascular endothelial cells(HRMECs)cultured in high glucose and low oxygen conditions.Results A total of 59 shared DEGs and 26 hub genes were identified from the PXD046630 and GSE60436 datasets.KEGG analysis revealed that six pathways,inclu-ding extracellular matrix-receptor interaction,proteoglycans in cancer,and complement and coagulation cascades,were enriched in 12 key DEGs.Fibronectin 1(FN1),tissue inhibitor of metalloproteinase 3(TIMP3),complement factor H(CFH),decorin(DCN),and lipoprotein receptor-related protein-2(LRP2)were identified as potential biomarkers on the basis of their AUC values being greater than 0.900(CI≥95％).The mRNA expression levels of FN1,CFH,and LRP2 were significantly increased in HRMECs cultured in high glucose and low oxygen conditions.Conclusion FN1,CFH,and LRP2 are potential biomarkers for PDR,and further studies are needed to explore their roles and therapeutic potential in PDR.关键词
糖尿病性视网膜病变/蛋白质组学/转录组学/生物标志物Key words
diabetic retinopathy/proteomics/transcriptomics/biomarker分类
医药卫生引用本文复制引用
金叶安琪,张学礼,孟倩丽,刘俊滨,方翔,吴冠蓉,朱昊贤,陈欣雨,刘梦雅,廖铄鑫,李方芳..基于蛋白质组学和转录组学数据鉴定增生型糖尿病性视网膜病变的潜在生物标志物[J].眼科新进展,2025,45(8):622-628,7.基金项目
国家自然科学基金(编号:82171072,32200545) （编号:82171072,32200545）
广东省自然科学基金(编号:2022A1515010613) （编号:2022A1515010613）
国际糖尿病交流与实践专项基金(编号:Z-2017-26-2302) （编号:Z-2017-26-2302）
