Core genes and immune dysregulation in primary open-angle glaucoma: A molecular insight

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.<b>Conclusions:</b> 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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Publication Details

Journal
Technology and Health Care
Published
2024-12-18
DOI
https://doi.org/10.1177/09287329241292914
Primary Topic
Glaucoma and retinal disorders
Type
article
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article

Core genes and immune dysregulation in primary open-angle glaucoma: A molecular insight

Qing Chang, Houhong Wang, Jing Wang, Zhen‐Yu Chen et al.
Technology and Health Care
Glaucoma and retinal disorders
article

Core genes and immune dysregulation in primary open-angle glaucoma: A molecular insight

Qing Chang, Houhong Wang, Jing Wang, Zhen‐Yu Chen, Xiaohui Guo, Zhongmin Li, Yan Fang
article en

Abstract

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.<b>Conclusions:</b> 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.

Technology and Health CareVol. 33(3)
Fuyang Normal University (CN), Anhui University of Science and Technology (CN)
Life in Land
Openalex Percentile: Top 63%
Glaucoma and retinal disorders
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