Table_1_Screening for key genes in circadian regulation in advanced atherosclerosis: A bioinformatic analysis.XLSX
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https://figshare.com/articles/dataset/Table_1_Screening_for_key_genes_in_circadian_regulation_in_advanced_atherosclerosis_A_bioinformatic_analysis_XLSX/21876786
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BackgroundAtherosclerosis (AS) is the most important cardiovascular disease threatening human health, leading to adverse events such as myocardial infarction and stroke. The research on the pathogenesis and causes of AS is being improved step by step, and many factors are associated with AS. However, the relationship between circadian regulation and the pathogenesis of AS is still unclear. Our study identified 2 key genes of circadian regulation in AS by bioinformatics analysis, which provides new perspectives to understand the relationship between circadian rhythm and AS.
MethodsWe downloaded samples of early and advanced AS from public databases, screened key genes by weighted gene co-expression network analysis (WGCNA) and Lasso, calculated the immune cell content of the samples using “CIBERSORT,” and analyzed the relationship between key genes and immune cells.
ResultsWe obtained the most relevant core modules for advanced AS and analyzed the functions of these modules. Two circadian rhythm-related genes were obtained, which influence the immune infiltration of this late AS. ROC curves demonstrated the efficacy of key genes to differentiate between early and advanced AS.
ConclusionWe identified 2 genes most associated with circadian rhythms in advanced AS, whose association with AS has not been elucidated and may become the next therapeutic target.
背景
动脉粥样硬化(Atherosclerosis, AS)是威胁人类健康的最主要心血管疾病,可引发心肌梗死、脑卒中等不良心血管事件。目前针对AS发病机制与病因的研究正逐步深入,现已明确多种因素与AS的发生发展密切相关,但昼夜节律调控与AS发病机制之间的关联仍未阐明。本研究通过生物信息学分析,筛选出AS中与昼夜节律调控相关的2个关键基因,为理解昼夜节律与AS之间的关联提供了新的研究视角。
方法
本研究从公共数据库下载早期与晚期AS样本,通过加权基因共表达网络分析(weighted gene co-expression network analysis, WGCNA)与Lasso筛选关键基因;采用“CIBERSORT”算法计算样本中的免疫细胞浸润丰度,并分析关键基因与免疫细胞之间的关联。
结果
本研究筛选出与晚期AS最相关的核心模块,并对这些模块的功能进行了分析。最终获得2个昼夜节律相关基因,它们可影响晚期AS的免疫浸润状态。受试者工作特征(Receiver Operating Characteristic, ROC)曲线验证了关键基因区分早期与晚期AS的诊断效能。
结论
本研究筛选出晚期AS中与昼夜节律关联最为密切的2个基因,目前尚未阐明二者与AS的具体关联机制,二者有望成为AS潜在的新型治疗靶点。
创建时间:
2023-01-12



