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基于低氧相关基因的糖尿病视网膜病变的关键基因和调控网络:生物信息学分析

Cai-Han Yu^1,2, Cai-Xia Wu¹, Dai Li³

¹Department of Ophthalmology, Xianning Central Hospital, The First Affiliated Hospital of Hubei University of Science and Technology, Xianning 437100, Hubei Province, China.

International journal of ophthalmology

|August 19, 2024

概括

这项研究确定了八个关键基因 (枢纽基因),这些基因参与缺氧,对于诊断糖尿病视网膜病变 (DR) 至关重要. 这些与缺氧相关的枢纽基因对DR患者显示出有前途的诊断能力.

科学领域:

眼科医生眼科眼科
遗传学是一个遗传学.
生物信息学是一种生物信息学.

背景情况:

糖尿病视网膜病变 (DR) 对视力构成重大威胁,由新血管化驱动.
了解DR中缺氧的遗传基础对于开发有效治疗方法至关重要.

研究的目的:

为了确定与缺氧相关的基因和糖尿病视网膜病变的潜在治疗点.
评估DR中已识别的枢纽基因的诊断潜力.

主要方法:

使用公共数据集 (GSE60436,GSE102485) 对低氧相关基因的差异基因表达分析.
基因本体学 (GO) 和基因和基因组的京都百科全书 (KEGG) 路径丰富分析.
通过CMap数据库对药物进行查,构建蛋白与蛋白相互作用 (PPI) 网络,并生成名录.
使用接收器操作特征 (ROC) 曲线验证枢纽基因诊断性能.

主要成果:

确定了48个与缺氧相关的差异表达基因 (DEG) 和10种潜在的候选药物.
发现了8个与缺氧相关的枢纽基因:PYGM,GAPDHS,ENO3,ALDOC,PGM2,ENO2,PGAM2和PFKFB3.
构建了一个复杂的miRNA-转录因子 (TF) -Hub基因网络.
对于8个枢纽基因中的7个,ROC分析表明了有利的诊断性能 (AUC > 0.758).

结论:

在糖尿病视网膜病变中,PYGM,GAPDHS,ENO3,ALDOC,PGM2,ENO2,PGAM2和PFKFB3是重要的枢纽基因.
与缺氧相关的枢纽基因显示出强大的潜力,作为DR的诊断生物标志物.
对这些枢纽基因的进一步研究可能会为DR带来新的治疗策略.

关键词:

糖尿病视网膜病变糖尿病视网膜病变药物预测药物预测核心基因核心基因核心基因与缺氧相关的基因 miRNA-TF-Hub基因基因基因基因基因基因基因基因基因基因基因基因

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