Calcific aortic valve disease (CAVD) is a heart valve disorder characterized primarily by calcification of the aortic valve, resulting in stiffness and dysfunction of the valve. CAVD is prevalent among aging populations and is linked to factors such as hypertension, dyslipidemia, tobacco use, and genetic predisposition, and can result in becoming a growing economic and health burden. Once aortic valve calcification occurs, it will inevitably progress to aortic stenosis. At present, there are no medications available that have demonstrated effectiveness in managing or delaying the progression of the disease. In this study, we mined four publicly available microarray datasets (GSE12644 GSE51472, GSE77287, GSE233819) associated with CAVD from the GEO database with the aim of identifying hub genes associated with the occurrence of CAVD and searching for possible biological targets for the early prevention and diagnosis of CAVD. This study provides preliminary evidence for therapeutic and preventive targets for CAVD and may provide a solid foundation for subsequent biological studies.

中文翻译：

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钙化性主动脉瓣疾病中枢基因的鉴定


钙化性主动脉瓣疾病（CAVD）是一种心脏瓣膜疾病，主要特征是主动脉瓣钙化，导致瓣膜僵硬和功能障碍。 CAVD 在老龄化人群中普遍存在，与高血压、血脂异常、吸烟和遗传倾向等因素有关，并可能导致日益严重的经济和健康负担。主动脉瓣一旦发生钙化，必然进展为主动脉瓣狭窄。目前，尚无任何药物能够有效控制或延缓该疾病的进展。在本研究中，我们从GEO数据库中挖掘了四个与CAVD相关的公开微阵列数据集（GSE12644、GSE51472、GSE77287、GSE233819），旨在识别与CAVD发生相关的中枢基因，并寻找可能的生物学靶点以进行早期预防和预防。 CAVD 的诊断。该研究为CAVD的治疗和预防靶点提供了初步证据，并可能为后续的生物学研究提供坚实的基础。