免疫失调
开角型青光眼
免疫系统
青光眼
小学(天文学)
基因
芯(光纤)
医学
生物
神经科学
遗传学
免疫学
物理
光学
天文
作者
Zhongmin Li,Jing Wang,Qing Chang,Zhen‐Yu Chen,Xiaohui Guo,Houhong Wang,Yan Fang
标识
DOI:10.1177/09287329241292914
摘要
BackgroundPrimary open-angle glaucoma (POAG) is a chronic, progressive and irreversible eye disease. Currently, there is no effective way to prevent optic nerve damage.ObjectiveThis study explored POAG gene markers to identify high-risk groups at an early stage and to find new effective therapeutic targets.MethodsThe mRNA and clinical information of POAG patients and normal samples were downloaded from the Gene Expression Omnibus (GEO) database. Through Weighted correlation network analysis (WGCNA) and generalized linear models (GLM), random forests (RF), support vector machines (SVM), and extreme gradient boosting (xGB) models, key risk genes were identified and an early diagnosis model was established. Functional enrichment analysis and CIBERSORT algorithm were used to further reveal the changes in the POAG immune environment and find emerging therapeutic targets.ResultsHERPUD1, IQCK, MRPL40, SRSF7 and TMEM243 were identified as risk genes, and the prediction model and nomogram constructed based on them had good early prediction efficiency. At the mechanistic level, the heterogeneity of T cell subsets seems to be a key factor affecting the progression of POAG and has potential therapeutic value.Conclusions: HERPUD1, IQCK, MRPL40, SRSF7, and TMEM243 are of great significance for the early prediction and disease progression of POAG and have the potential value of becoming therapeutic targets.
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