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Expression profile analysis to predict potential biomarkers for glaucoma: BMP1, DMD and GEM
Dao Wei Zhang1, Shenghai Zhang1,2,3,4, Jihong Wu1,2,3,4
1Eye Institute, Eye and ENT Hospital, College of Medicine, Fudan University, Shanghai, China.
Peerj
|September 21, 2020
Summary
Researchers identified three key genes, BMP1, DMD, and GEM, as potential prognostic biomarkers for glaucoma. Lower expression of these genes in glaucoma patients suggests their role in disease development and offers targets for future therapies.
Area of Science:
- Ophthalmology and genetics research.
- Investigating molecular mechanisms of optic nerve head diseases.
Background:
- Glaucoma is a leading cause of blindness globally.
- Identifying prognostic biomarkers is crucial for glaucoma management.
Purpose of the Study:
- To assess astrocyte gene expression in the optic nerve head.
- To identify potential prognostic biomarkers for glaucoma.
Main Methods:
- Utilized Weighted Gene Coexpression Network Analysis (WGCNA) on Gene Expression Omnibus datasets.
- Performed functional enrichment analysis and LASSO regression.
- Validated key genes using an external dataset.
Main Results:
- Identified two significant gene coexpression modules correlated with glaucoma.
- Discovered three hub genes (BMP1, DMD, GEM) with lower expression in glaucoma patients.
- Validated the predictive model with an 85% area under the curve.
Conclusions:
- BMP1, DMD, and GEM are implicated in glaucoma pathogenesis.
- These genes may serve as prognostic biomarkers for glaucoma.
- Findings could guide the development of targeted glaucoma therapies.
