AI Article Synopsis

  • Glaucoma, particularly primary open-angle glaucoma (POAG), is a major cause of vision loss, yet its underlying mechanisms remain unclear.
  • This study analyzed data from the GEO database to identify potential biomarkers for POAG through various methods, including machine learning and Mendelian randomization, ultimately finding three significant light stimulation-related biomarkers (RAB8A, PRG3, and SMAD3).
  • The findings not only reveal these biomarkers' diagnostic potential but also suggest connections between DNA methylation and POAG, paving the way for future research on the disease.

Article Abstract

Purpose: Glaucoma is the primary cause of permanent vision loss worldwide. However, the pathogenesis of primary open-angle glaucoma (POAG), the main type of glaucoma, has not yet been completely understood.

Methods: In our study, the POAG cohorts were obtained from the Gene Expression Omnibus (GEO) database (GSE45570). Biomarkers with diagnostic utility for POAG were identified through combining differentially expressed analysis, enrichment analysis, machine learning algorithms, and receiver operating characteristic (ROC) analysis. The regulatory networks (including a competing endogenous RNA (ceRNA) regulatory network and a small molecule compounds-mRNA network) were created. In addition, the Mendelian randomization (MR) analysis was used to identify exposures causally associated with POAG. Finally, the expression of the biomarkers was validated via real-time quantitative polymerase chain reaction (RT-qPCR).

Results: The Gene Ontology (GO) items that the differentially expressed genes (DEGs) between POAG and control groups enriched were relevant to light stimulation and DNA methylation. A total of three light stimulation-related biomarkers (RAB8A, PRG3, and SMAD3) were identified, which had diagnostic value for POAG patients. Besides, the ceRNA regulatory network contained 88 nodes and 93 edges, and a small molecule compounds-mRNA network included 66 nodes and 76 edges. The MR results indicated a causal association between DNA methylation GrimAge acceleration and POAG. Additionally, the results of RT-qPCR revealed that the expression trend of RAB8A was consistent with that of GSE45570.

Conclusions: Taken together, this study provides three light stimulation-related biomarkers (RAB8A, PRG3, and SMAD3) for the diagnosis of POAG, providing scientifically valuable insights for further studies of POAG.

Translational Relevance: Discovering biomarkers that possess diagnostic significance for POAG has the potential to offer new insights into the pathogenesis of POAG and present novel objectives for clinical intervention.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11323985PMC
http://dx.doi.org/10.1167/tvst.13.8.21DOI Listing

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