Li Xiong-Zhi, Xiong Zhuo-Chao, Zhang Shao-Ling, Hao Qing-Yun, Gao Ming, Wang Jing-Feng, Gao Jing-Wei, Liu Pin-Ming
Department of Cardiology, Guangzhou Key Laboratory on the Molecular Mechanisms of Major Cardiovascular Disease, Guangdong Provincial Key Laboratory of Arrhythmia and Electrophysiology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Front Cardiovasc Med. 2022 Aug 8;9:916841. doi: 10.3389/fcvm.2022.916841. eCollection 2022.
Calcific aortic valve disease (CAVD) is a highly prevalent condition that comprises a disease continuum, ranging from microscopic changes to profound fibro-calcific leaflet remodeling, culminating in aortic stenosis, heart failure, and ultimately premature death. Ferroptosis has been hypothesized to contribute to the pathogenesis of CAVD. We aimed to study the association between ferroptosis genes and CAVD and reveal the potential roles of ferroptosis in CAVD. CAVD-related differentially expressed genes (DEGs) were identified bioinformatic analysis of Datasets GSE51472 and GSE12644 obtained from Gene Expression Omnibus. A ferroptosis dataset containing 259 genes was obtained from the Ferroptosis Database. We then intersected with CAVD-related DEGs to identify the ferroptosis DEGs. Subsequently, protein-protein interaction networks and functional enrichment analyses were performed for ferroptosis DEGs. Then, we used miRWalk3.0 to predict the target pivotal microRNAs. An model of CAVD was constructed using human aortic valve interstitial cells. The qRT-PCR and western blotting methods were used to validate the ferroptosis DEGs identified by the microarray data. A total of 21 ferroptosis DEGs in CAVD containing 12 upregulated and nine downregulated genes were identified. The results of the Gene Set Enrichment Analysis (GSEA) and analysis of the KEGG pathway by WebGestalt indicated that the ferroptosis DEGs were enriched in six signaling pathways among which NAFLD (including IL-6, BID, and PRKAA2 genes) and HIF-1 (including IL-6, HIF-1, and HMOX1 genes) signaling pathways were also verified by DAVID and/or Metascape. Finally, the results showed that the mRNA and protein expression levels of IL-6, HIF-1α, HMOX1, and BID were higher, while the levels of PRKAA2 were lower in the Pi-treated group than those in the control group. However, the addition of ferrostatin-1 (a selective ferroptosis inhibitor) significantly reversed the above changes. Therefore, IL-6, HIF-1α, HMOX1, BID, and PRKAA2 are potential key genes closely associated with ferroptosis in CAVD. Further work is required to explore the underlying ferroptosis-related molecular mechanisms and provide possible therapeutic targets for CAVD.
钙化性主动脉瓣疾病(CAVD)是一种高度普遍的疾病,它构成了一个疾病连续体,范围从微观变化到严重的纤维钙化瓣叶重塑,最终导致主动脉瓣狭窄、心力衰竭,并最终导致过早死亡。有人提出铁死亡可能参与了CAVD的发病机制。我们旨在研究铁死亡相关基因与CAVD之间的关联,并揭示铁死亡在CAVD中的潜在作用。通过对从基因表达综合数据库(Gene Expression Omnibus)获取的数据集GSE51472和GSE12644进行生物信息学分析,确定了与CAVD相关的差异表达基因(DEGs)。从铁死亡数据库中获得了一个包含259个基因的铁死亡数据集。然后,我们将其与CAVD相关的DEGs进行交叉分析,以识别铁死亡DEGs。随后,对铁死亡DEGs进行了蛋白质-蛋白质相互作用网络和功能富集分析。然后,我们使用miRWalk3.0来预测关键的靶标微小RNA。使用人主动脉瓣间质细胞构建了CAVD模型。采用qRT-PCR和蛋白质印迹法验证了通过微阵列数据鉴定出的铁死亡DEGs。在CAVD中总共鉴定出21个铁死亡DEGs,其中12个基因上调,9个基因下调。基因集富集分析(GSEA)结果以及通过WebGestalt对KEGG通路的分析表明,铁死亡DEGs在六个信号通路中富集,其中非酒精性脂肪性肝病(NAFLD,包括IL-6、BID和PRKAA2基因)和缺氧诱导因子-1(HIF-1,包括IL-6、HIF-1和HMOX1基因)信号通路也得到了DAVID和/或Metascape的验证。最后,结果显示,与对照组相比,在Pi处理组中IL-6、HIF-1α、HMOX1和BID的mRNA和蛋白质表达水平较高,而PRKAA2的水平较低。然而,添加铁抑素-1(一种选择性铁死亡抑制剂)显著逆转了上述变化。因此,IL-6、HIF-1α、HMOX1、BID和PRKAA2是与CAVD中铁死亡密切相关的潜在关键基因。需要进一步开展工作来探索潜在的铁死亡相关分子机制,并为CAVD提供可能的治疗靶点。