基于泛凋亡相关基因分析颅内动脉瘤发生机制并构建诊断模型OA
Analysis of Intracranial Aneurysm Pathogenesis and Diagnostic Model Construction Based on PANoptosis-Related Genes
目的 本研究旨在鉴定颅内动脉瘤中差异表达的泛凋亡相关基因,挖掘其参与颅内动脉瘤形成和破裂的相关机制,并构建诊断模型. 方法 从基因表达综合数据库(gene expression omnibus,GEO)和GeneCards数据库分别获取了GSE54083、GSE122897、GSE36791、GSE75436、GSE6551、GSE13353共6个数据集及泛凋亡相关基因.使用R 4.3.1对GSE54083数据集进行分析,识别颅内动脉瘤差异表达基因与泛凋亡相关基因的交集,接着在GSE54083、GSE75436中对差异表达的泛凋亡相关基因进一步筛选;利用基因本体与京都基因和基因组数据库富集分析方法,对差异表达基因进行功能富集分析;使用多个基因集多次筛选并通过最小绝对收缩和选择算子(least absolute shrinkage and selection operator,LASSO)回归识别关键基因;通过CIBERSORT算法评估GSE54083中每个样本的免疫浸润情况;使用基因/蛋白质相互作用检索工具(STRING)数据库检索toll样受体4(toll like receptor 4,TLR4)、ATP结合盒转运蛋白B1(ATP-binding cassette transporter B1,ABCB1)和胱天蛋白酶激活募集结构域16(caspase activation and recruitment domain 16,CARD16)3个关键基因以构建蛋白质-蛋白质相互作用网络,探索关键基因间的相互作用.接着使用LASSO回归构建诊断模型,并分别在数据集GSE54083、GSE75436、GSE122897、GSE6551和GSE13353中对诊断模型效能进行内部及外部验证. 结果 本研究共鉴定出119个差异表达的泛凋亡相关基因(上调71个、下调48个),这些基因富集于MAPK、ERK1/ERK2、PKB及I-κB激酶/NF-κB等信号通路,并与黏着斑、细胞骨架及核膜相关.通过2个独立数据集筛选及LASSO回归,获得3个关键基因(TLR4、ABCB1、CARD16).免疫浸润分析显示颅内动脉瘤患者记忆B细胞、CD8+T细胞、活化记忆CD4+T细胞、调节性T细胞及嗜酸性粒细胞的比例升高,而浆细胞、初始CD4+T细胞、滤泡辅助T细胞、活化自然杀伤细胞、M0/M2巨噬细胞、活化树突状细胞、静息肥大细胞及中性粒细胞的比例降低.蛋白质-蛋白质相互作用网络分析表明,3个关键基因共同参与了包含53个节点和196条边的互作网络,提示其间存在紧密的生物学关联.基于上述3个关键基因构建的LASSO诊断模型在内部验证集(AUC分别为0.949、0.920)及外部验证集中(AUC分别为0.731、0.837)均表现出良好的预测效能. 结论 本研究系统揭示了泛凋亡相关基因在颅内动脉瘤中的关键作用,确立了TLR4、CARD16和ABCB1作为潜在生物标志物的价值.这些发现不仅深化了对颅内动脉瘤病理机制的理解,也为开发基于泛凋亡的颅内动脉瘤精准诊疗策略提供了新的理论依据.未来研究可进一步探索这些基因在颅内动脉瘤发生发展中的具体调控机制及其临床转化潜力.
Objective This study aimed to identify differentially expressed PANoptosis-related genes involved in intracranial aneurysm,explore their mechanisms related to aneurysm formation and rupture,and construct a diagnostic model. Methods Six data sets of GSE54083,GSE122897,GSE36791,GSE75436,GSE6551,GSE13353 and PANoptosis-related genes were obtained from the gene expression omnibus(GEO)and GeneCards databases,respectively.R 4.3.1 was used to analyze the GSE54083 data set to identify the intersection of differentially expressed genes and PANoptosis-related genes in intracranial aneurysms,and then the differentially expressed PANoptosis-related genes were further screened in GSE54083 and GSE75436.Functional enrichment analysis of differentially expressed genes was performed using gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis methods.Least absolute shrinkage and selection operator(LASSO)regression was used to construct a diagnostic model and identify key genes,and the diagnostic model performance was verified internally and externally in the data sets GSE54083,GSE75436,GSE122897,GSE6551 and GSE13353,respectively.The immune infiltration of each sample in GSE54083 was evaluated by CIBERSORT algorithm.The search tool for the retrieval of interacting genes/proteins(STRING)database was used to search for three key genes of toll like receptor 4(TLR4),ATP-binding cassette transporter B1(ABCB1)and caspase activation and recruitment domain 16(CARD16)to construct a protein-protein interaction network and explore the interaction among key genes. Results A total of 119 differentially expressed PANoptosis related genes(71 up-regulated and 48 down-regulated)were identified in this study,which were enriched in MAPK,ERK1/ERK2,PKB and I-κB kinase/NF-κB signaling pathways,and were associated with focal adhesion,cytoskeleton and nuclear membrane.Through two independent data sets screening and LASSO regression,three key genes(TLR4,ABCB1,CARD16)were obtained.Immune infiltration analysis showed that the proportion of memory B cells,CD8+T cells,memory activated CD4+memory activated T cells,regulatory T cell and eosinophils increased in patients with intracranial aneurysms,while the proportion of plasma cells,naive CD4+T cells,follicular helper T cell,activated natural killer cells,M0/M2 macrophages,activated dendritic cells,mast cells and neutrophils decreased.Protein-protein interaction network analysis showed that the three key genes were involved in an interaction network containing 53 nodes and 196 edges.The LASSO diagnostic model based on the above three key genes showed good predictive performance in both the internal validation set(AUC 0.949,0.920 respectively)and the external validation set(AUC 0.713,0.837 respectively). Conclusions This study systematically revealed the key role of PANoptosis-related genes in intracranial aneurysms,and established the value of TLR4,CARD16 and ABCB1 as potential biomarkers.These findings not only deepen the understanding of the pathological mechanism of intracranial aneurysms,but also provide a new theoretical basis for the development of accurate diagnosis and treatment strategies for intracranial aneurysms based on PANoptosis.Future studies can further explore the specific regulatory mechanisms and clinical transformation potential of these genes in the development of intracranial aneurysms.
孙会英;陈凯;王维波;邓达;詹敏;吴波
资阳 641300 资阳市中医医院神经外科资阳 641300 资阳市中医医院神经外科资阳 641300 资阳市中医医院神经外科资阳 641300 资阳市中医医院神经外科资阳 641300 资阳市中医医院神经外科资阳 641300 资阳市中医医院神经外科
医药卫生
颅内动脉瘤生物信息学泛凋亡免疫浸润诊断模型
Intracranial aneurysmBioinformaticsPANoptosisImmune infiltrationDiagnostic model
《中国卒中杂志》 2026 (7)
854-865,12
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