Chen HongKui, Xie Xianwei, Xiao Huazhen, Liang Wenjia, Lin Zhi-Jie, Lin Biting, Lin Kai-Yang, Chen Chun, Guo Yansong
Department of Cardiology, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Hospital, Fuzhou, Fujian Province, 350000, People's Republic of China.
Fujian Provincial Key Laboratory of Cardiovascular Disease, Fujian Provincial Center for Geriatrics, Fujian Provincial Clinical Research Center for Severe Acute Cardiovascular Diseases, Fuzhou, Fujian Province, 350000, People's Republic of China.
J Inflamm Res. 2023 Dec 22;16:6283-6299. doi: 10.2147/JIR.S442260. eCollection 2023.
As a chronic inflammatory disease, atherosclerosis (AS) and ischemia events are primarily affected by inflammation in AS. PANoptosis has been implicated in many human systemic disorders, including infection, cancer, neurodegeneration, and inflammation. On the other hand, little is understood about PANoptosis's function in AS.
We used consensus clustering to divide the GSE100927 dataset into two panoptosis-related subgroups. PANoptosis-associated genes were screened by differential analysis and weighted gene co-expression network analysis (WGCNA) and enriched by ClueGO software. Investigating LASSO regression and MCODE to identify AS Diagnostic Markers. Immunoinfiltration analysis and single-cell analysis were used to search for cell types associated with the diagnostic genes. Final validation was performed by polymerase chain reaction (PCR).
We classified the GSE100927 dataset into two PANoptosis-related subtypes based on the expression of PANoptosis-related genes (PRGs) using consensus clustering. A total of 36 PANoptosis-associated genes were screened in the differentially expressed genes and WGCNA-related module. 4 hub genes were identified by MCODE and LASSO regression, and 3 AS diagnostic markers (ACP5, CCL3, HMOX1) were screened by external validation set. Immunoinfiltration analysis and single-cell analysis showed that the three diagnostic markers were associated with macrophages, and PCR results demonstrated that ACP5 and HMOX1 could be used as AS diagnostic markers.
Our study identified ACP5 and HMOX1 as diagnostic genes for AS that may be associated with PANoptosis. ACP5 and HMOX1 may be involved in the pathogenesis of AS by regulating macrophage PANoptosis.
动脉粥样硬化(AS)作为一种慢性炎症性疾病,缺血事件主要受AS炎症影响。全程序性坏死已涉及许多人类全身性疾病,包括感染、癌症、神经退行性变和炎症。另一方面,关于全程序性坏死在AS中的功能了解甚少。
我们使用一致性聚类将GSE100927数据集分为两个与全程序性坏死相关的亚组。通过差异分析和加权基因共表达网络分析(WGCNA)筛选与全程序性坏死相关的基因,并使用ClueGO软件进行富集。研究套索回归和MCODE以识别AS诊断标志物。使用免疫浸润分析和单细胞分析来寻找与诊断基因相关的细胞类型。通过聚合酶链反应(PCR)进行最终验证。
我们使用一致性聚类根据全程序性坏死相关基因(PRGs)的表达将GSE100927数据集分为两个与全程序性坏死相关的亚型。在差异表达基因和与WGCNA相关的模块中总共筛选出36个与全程序性坏死相关的基因。通过MCODE和套索回归鉴定出4个枢纽基因,并通过外部验证集筛选出3个AS诊断标志物(ACP5、CCL3、HMOX1)。免疫浸润分析和单细胞分析表明这三个诊断标志物与巨噬细胞相关,PCR结果表明ACP5和HMOX1可作为AS诊断标志物
我们的研究确定ACP5和HMOX1为可能与全程序性坏死相关的AS诊断基因。ACP5和HMOX1可能通过调节巨噬细胞全程序性坏死参与AS的发病机制。