Integrated microarray analysis provided novel insights to the pathogenesis of glaucoma

Area of Science:

• Ophthalmology
• Genetics
• Molecular Biology

Background:

• Glaucoma, a leading cause of blindness, is characterized by visual field defects.
• Understanding the molecular mechanisms underlying glaucoma is crucial for developing effective treatments.

Purpose of the Study:

• To identify differentially expressed genes (DEGs) in glaucoma using integrated microarray analysis.
• To construct protein-protein interaction (PPI) and transcriptional regulatory networks for glaucoma.
• To validate key DEGs in an acute intraocular pressure (IOP) elevation rat model.

Main Methods:

• Integrated analysis of Gene Expression Omnibus (GEO) microarray datasets.
• Functional annotation and pathway enrichment analysis (Gene Ontology - GO).
• Construction of PPI and transcriptional regulatory networks.
• Validation of DEGs using reverse transcription-quantitative polymerase chain reaction (RT-qPCR) in a rat model.

Main Results:

• Identified 97 differentially expressed genes (DEGs) in glaucoma, including 82 upregulated and 15 downregulated.
• Enriched GO terms included 'response to virus' and 'immune response'; pathway analysis highlighted 'valine, leucine and isoleucine degradation'.
• Key hub proteins (HDAC1, HBN, UBR4, PDK1) and transcription factors (FOXD3, HNF-4, AP-1) were identified. Validation confirmed upregulation of RFTN1, PBX1, HDAC1 and downregulation of GEM in a rat model.

Conclusions:

• Six DEGs (HEPH, SELENBP1, RFTN1, ID1, HDAC-1, PBX1) and three TFs (FOXD3, HNF-4, AP-1) are implicated in glaucoma pathogenesis.
• The identified molecular players offer potential targets for glaucoma diagnosis and therapeutic strategies.
• This integrated approach provides valuable insights into the molecular underpinnings of glaucoma.