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基因表达谱分析鉴定近视的潜在生物标志物。

Gene expression profile analyses to identify potential biomarkers for myopia.

机构信息

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, 510060, China.

出版信息

Eye (Lond). 2023 Apr;37(6):1264-1270. doi: 10.1038/s41433-022-02013-6. Epub 2022 May 24.

Abstract

PURPOSE

Increasing 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 METHODS

We 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).

RESULTS

We 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.

CONCLUSION

Our 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.

摘要

目的

越来越多的证据表明近视不是一种简单的屈光不正,可能还有其他许多因素参与其中。在这里,我们评估了近视和正常角膜的基因表达谱,以确定近视的可能诊断和治疗生物标志物。

材料和方法

我们根据基因表达综合数据库(GEO)从 GSE112155 和 GSE151631 数据集获得了十名患者和七名正常对照样本的表达谱。我们使用“limma”R 包来确定近视和正常角膜之间的差异表达基因(DEG)。加权基因共表达网络分析(WGCNA)用于识别与近视相关的关键共表达模块,富集分析用于注释强制模块中包含的基因的功能。我们还在两个外部数据集(GSE24641 和 GSE136701)中验证了这些发现。

结果

我们发现 DEG 在紫外线(UV)反应、TNF-α 信号转导通过 NFκB、血管生成、肌生成途径等方面显著富集。我们使用 2095 个基因构建共表达基因模块,发现了五个有趣的模块,因为这些模块的特征基因表达在近视和正常角膜之间有显著差异。值得注意的是,富集分析发现,lightgreen 模块中包含的基因在免疫相关途径中显著富集。这些发现随后基于 Xcell 软件的分析得到了证实。我们发现 B 细胞、CD4+记忆 T 细胞、CD8+中央记忆 T 细胞、浆细胞样树突状细胞、辅助性 T 细胞 2(Th2)细胞、调节性 T 细胞(Tregs)等在近视角膜中显著增加,而 CD8+T 细胞、CD4+T 中央记忆细胞、自然杀伤 T(NKT)细胞和 Th1 细胞则显著减少。

结论

我们的研究结果确定了一些可能从角膜方面检测近视诊断和治疗的标志物。需要进一步的研究来验证免疫相关途径在近视发病或进展过程中对角膜的功能作用。

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