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Assessing Early Stage Open-Angle Glaucoma in Patients by Isolated-Check Visual Evoked Potential
Published on: May 25, 2020
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Network Integration Analysis and Immune Infiltration Analysis Reveal Potential Biomarkers for Primary Open-Angle
Liyuan Wang1, Tianyang Yu2, Xiaohui Zhang3
1Department of Ophthalmology, First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Frontiers in Cell and Developmental Biology
|December 20, 2021
Summary
Early diagnosis of primary open-angle glaucoma (POAG) is crucial. This study reveals transcriptome dysregulation mechanisms and identifies a novel biomarker axis (AL590666.2-hsa-miR-339-5p-UROD) for POAG detection.
Area of Science:
- Ophthalmology
- Genomics
- Molecular Biology
Background:
- Primary open-angle glaucoma (POAG) is irreversible optic neuropathy requiring early diagnosis.
- Existing POAG biomarker research lacks systematic analysis of pre- and post-transcriptional gene regulation.
- Aqueous humor (AH) transcriptomic data offers insights into POAG pathogenesis.
Purpose of the Study:
- To systematically investigate transcriptome dysregulation in POAG.
- To identify novel biomarkers for POAG diagnosis and treatment.
- To elucidate regulatory mechanisms at pre- and post-transcriptional levels.
Main Methods:
- Collected and analyzed aqueous humor (AH) transcriptomic profiles (lncRNA, mRNA, miRNA) from POAG and non-glaucoma patients.
- Performed differential expression analysis to identify significant DEGs.
- Constructed competing endogenous RNA (ceRNA) and transcriptional regulatory networks.
- Utilized random walk algorithm and immune infiltration analysis.
Main Results:
- Identified thousands of differentially expressed genes (DEGs) in POAG AH tissue.
- Constructed a ceRNA network with 1,653 lncRNA-miRNA-mRNA units and identified two disease-associated subnets.
- Revealed a transcriptional regulatory network involving FOS, ATF4, and RELB.
- Discovered an immune desert status in POAG AH and identified the AL590666.2-hsa-miR-339-5p-UROD axis as a potential POAG biomarker.
Conclusions:
- The study elucidates POAG's transcriptome dysregulation mechanisms, including pre- and post-transcriptional regulation.
- Identified key transcription factors (FOS, ATF4, RELB) involved in T-cell regulation.
- The AL590666.2-hsa-miR-339-5p-UROD axis shows promise as a POAG biomarker.
- Findings support individualized diagnosis and treatment strategies for POAG.
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