ArticleEye (London, England)2023
Gene expression profile analyses to identify potential biomarkers for myopia.
Article in Eye (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Research Progress on the Regulatory Role of Treg Cells in Inflammatory Eye Diseases.Current issues in molecular biology · 2026Review
- Gene expression and machine learning techniques uncover corneal biomarkers associated with oxidative stress in the myopia progression.Scientific reports · 2026Article
- Myo-inflam: a mini review on inflammatory pathways driving scleral remodeling and axial elongation.Frontiers in immunology · 2026Review
- Multi-genomics data mining identified critical transcription factors and immune response pathways in traumatic optic nerve injury and retinal injury.Frontiers in ophthalmology · 2026Article
- Inflammation and Immune Pathways in Myopia: An Overview on Pathomechanisms and Treatment Prospects.Clinical reviews in allergy & immunology · 2025Review
- IMI-Myopia Genetics Report.Investigative ophthalmology & visual science · 2025Review
- Integrated genomics reveals cellular senescence-driven molecular networks and immune crosstalk in myopia pathogenesis.Journal of cell communication and signaling · 2025Article
- Biomarkers: Promising Tools Towards the Diagnosis, Prognosis, and Treatment of Myopia.Journal of clinical medicine · 2024Review
- Comparative analysis of corneal parameters in simple myopic anisometropia using Scheimpflug technology.Frontiers in bioengineering and biotechnology · 2024Article
- Article
- Effects of inflammation on myopia: evidence and potential mechanisms.Frontiers in immunology · 2023Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
purposeIncreasing evidence suggests myopia is not a simple refractive error, many other factors might also be involved. Here, we assessed myopic and normal corneas' gene expression profiles to identify possible diagnostic and therapeutic biomarkers for myopia. MATERIALS AND
methodsWe obtained the expression profile of ten patients and seven normal control samples from the GSE112155 and GSE151631 datasets based on the Gene Expression Omnibus (GEO) database. We used the "limma" R package to determine the differentially expressed genes (DEGs) between myopic and normal corneas. Weighted gene co-expression network analysis (WGCNA) was used to identify critical co-expressed modules related to myopia, and enrichment analyses were used to annotate the function of genes encompassed in the compulsory module. We also validated these findings in two external datasets (GSE24641 and GSE136701).
resultsWe identified that the DEGs were significantly enriched in ultraviolet (UV) response, TNF-α signaling via NFκB, Angiogenesis, Myogenesis pathways, etc. We used 2095 genes to construct the co-expression gene modules and found five interesting modules because the eigengene expression of these modules was significantly differentially expressed between myopic and normal corneas. Notably, the enrichment analysis found that the genes encompassed in lightgreen module were significantly enriched in immune-related pathways. These findings were proved by subsequent analysis based on Xcell software. We found the component of B cells, CD4+ memory T cells, CD8+ central memory T cells, plasmacytoid dendritic cells, T helper 2 (Th2) cells, regulatory T cells (Tregs), etc. were significantly increased in myopic corneas, while CD8+ T cells, CD4+ T central memory cells, natural killer T (NKT) cells, and T helper 1 (Th1) cells were significantly decreased.
conclusionOur findings identified some markers that might detect diagnosis and treatment for myopia from cornea aspect. Future studies are warranted to verify the functional role of immune-related pathways in cornea during the pathogenesis or progression of myopia.
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