通过综合生物信息学分析鉴定与糖尿病视网膜病变进展相关的中性粒细胞相关生物标记物--PDGFA

Anran Liang, Tingting Feng, Xiang Gao, Bowen Zhao, Song Chen
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引用次数: 0

摘要

背景:先天性免疫系统失调在糖尿病视网膜病变(DR)的发生发展中起着至关重要的作用。为了深入了解糖尿病视网膜病变的内在机制,必须确定与免疫细胞浸润相关的特定生物标志物:在这项研究中,我们从基因表达总库(GEO)数据库中检索了 GSE94019 和 GSE60436 数据集。通过使用 CIBERSORT、MCPcounter 和 xCell 算法,我们对 DR 中的免疫细胞浸润情况进行了全面分析。我们使用limma软件包识别了差异表达的坏死相关基因(DENRGs)。随后,进行了富集分析以研究DENRGs的潜在功能。为了识别核心DENRGs,使用了Cytoscape软件中的CytoHubba插件。这些核心DENRGs的表达水平在一个独立的数据集中得到了验证:结果:我们的分析确定了213个DENRGs,其中血小板衍生生长因子亚基A(PDGFA)被确定为核心DENRGs。值得注意的是,PDGFA的表达在DR中上调,这一发现在GSE102485数据集中得到了进一步验证。此外,GSVA 和 GSEA 的结果显示,在高 PDGFA 组中,与炎症和免疫系统相关的通路被激活。此外,免疫浸润分析表明,PDGFA 基因表达与特定免疫细胞(包括嗜碱性粒细胞、巨噬细胞 M1、巨噬细胞、中性粒细胞、单核细胞、NK 细胞和 B 细胞)的浸润水平之间存在显著关联:结论:中性粒细胞参与了 DR 的发生和发展。PDGFA 已成为一种潜在的标记物,与 DR 中免疫细胞的浸润有关。这些发现为 DR 的潜在机制提供了新的线索。
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Identification of PDGFA as a Neutrophil-related Biomarker Linked to the Advancement of Diabetic Retinopathy through Integrated Bioinformatics Analysis.

Background: The dysregulation of the innate immune system plays a crucial role in the development of Diabetic Retinopathy (DR). To gain an insight into the underlying mechanism of DR, it is essential to identify specific biomarkers associated with immune cell infiltration.

Methods: In this study, we retrieved the GSE94019 and GSE60436 datasets from the Gene Expression Omnibus (GEO) database. By utilizing CIBERSORT, MCPcounter, and xCell algorithms, we conducted a comprehensive analysis of the immune cell infiltration landscape in DR. The limma package was employed to identify Differentially Expressed Necroptosis-related Genes (DENRGs). Subsequently, enrichment analysis was performed to investigate the potential functions of the DENRGs. To identify the core DENRGs, the CytoHubba plug-in in Cytoscape software was utilized. The expression levels of these core DENRGs were verified in an independent dataset.

Results: Our analysis identified 213 DENRGs, and among them, Platelet-derived Growth Factor subunit A (PDGFA) was identified as a core DENRG. Notably, the expression of PDGFA was found to be upregulated in DR, and this finding was further validated in the GSE102485 dataset. Additionally, the results of GSVA and GSEA revealed that in the high PDGFA group, there was activation of pathways related to inflammation and the immune system. Moreover, analysis of immune infiltration demonstrated a significant association between PDGFA gene expression and the infiltration levels of specific immune cells, including basophils, macrophages M1, macrophages, neutrophils, monocytes, NK cells, and B cells.

Conclusion: The involvement of neutrophils in the development and progression of DR is suggested. PDGFA has emerged as a potential marker and is linked to the infiltration of immune cells in DR. These findings shed new light on the underlying mechanisms of DR.

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