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Updated: May 5, 2026

Laser Capture Microdissection of Highly Pure Trabecular Meshwork from Mouse Eyes for Gene Expression Analysis
Published on: June 3, 2018
Lactylation-Associated Immune Metabolic Reprogramming Identifies S100A2 and S100A14 as Candidate Diagnostic
Yu Xu1, Xin Fu1, Yajun Gong1
1Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510623, China.
New research identifies S100A2 and S100A14 as potential biomarkers for primary open-angle glaucoma (POAG). This study highlights immune-metabolic links in POAG pathogenesis, offering hope for improved diagnostics.
Area of Science:
- Ophthalmology
- Genomics
- Immunology
Background:
- Primary open-angle glaucoma (POAG) is a major cause of irreversible blindness globally.
- POAG is characterized by optic nerve damage and molecular diversity.
- Metabolic and immune factors are implicated in POAG, but regulatory networks and biomarkers are unclear.
Purpose of the Study:
- To identify novel diagnostic biomarkers for POAG.
- To explore the molecular mechanisms and regulatory networks in POAG pathogenesis.
- To investigate the role of immune and metabolic dysregulation in POAG.
Main Methods:
- Integrated analysis of bulk and single-cell RNA sequencing data from trabecular meshwork tissues.
- Differential gene expression analysis and Weighted Gene Co-expression Network Analysis (WGCNA).
- Machine learning for biomarker identification and immune cell infiltration analysis.
Main Results:
- Identified 195 differentially expressed genes in POAG samples.
- Discovered a lactylation-related gene module associated with POAG.
- Selected S100A2 and S100A14 as candidate diagnostic biomarkers with high classification accuracy.
- Revealed alterations in the POAG immune microenvironment.
Conclusions:
- S100A2 and S100A14 are prioritized as promising diagnostic biomarkers for POAG.
- The findings suggest a link between immune-metabolic regulatory mechanisms and POAG.
- This study provides insights into the molecular basis of POAG and potential diagnostic strategies.
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