首页|IGFBP6在不稳定颈动脉斑块中的作用:生物信息学分析与实验验证

IGFBP6在不稳定颈动脉斑块中的作用:生物信息学分析与实验验证

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目的 探讨不稳定颈动脉粥样硬化斑块的差异表达基因(DEGs)及其分子相互作用。方法 从基因表达数据库(GEO)和欧洲生物信息学研究所数据库下载颈动脉斑块患者的基因表达数据集GSE41571、GSE118481和E-MTAB-2055。采用基因本体生物学过程(GO-BP)富集分析、京都基因与基因组百科全书(KEGG)富集分析、蛋白-蛋白相互作用(PPI)网络、miRNAs/转录因子与靶基因的相互关系及药物-基因相互作用等方法,分析至少两个数据集中不稳定颈动脉斑块的共调控DEGs。采用定量实时PCR(qRT-PCR)和酶联免疫吸附试验(ELISA)检测颈动脉粥样硬化斑块患者58例的颈动脉斑块和血浆中部分DEGs的表达水平。结果 GO富集分析显示,不稳定颈动脉斑块的DEGs主要富集在与炎症反应相关的基因和细胞外基质结构基因;KEGG富集分析显示,不稳定颈动脉斑块中上调的DEGs富集于细胞外基质受体相互作用、PI3K-Akt、Hippo信号通路及转化生长因子-β(TGF-β)信号通路,下调的DEGs主要富集于溶酶体、吞噬体及趋化因子过程。PPI网络分析结果显示,COL1A2、COL4A2、胰岛素样生长因子结合蛋白6(IGFBP6)、COL4A5、C1QA、CXCL10、CXCL2、CXCR4和CSF1R等可能在PPI网络中起重要作用。药物-基因相互作用的预测显示,CSF1R的药物相互作用最多,CXCL2受药物拮抗程度最高,IGFBP6受药物激活程度最高。qRT-PCR检测结果显示,与稳定斑块组比较,不稳定斑块组IGFBP6表达水平明显降低(P<0。001)。ELISA法检测结果显示,不稳定斑块组血浆IGFBP6浓度明显低于稳定斑块组(P<0。0001)。受试者工作特征曲线分析结果显示,采用血浆IGFBP6水平鉴别不稳定斑块的曲线下面积为0。894(95%CI 0。810~0。977),截断值为142。08 ng/ml。结论 IGFBP6可能成为预测不稳定颈动脉斑块的重要生物标志物。
Effect of IGFBP6 in unstable carotid atherosclerotic plaque:bioinformatics analysis and experimental validation
Objective To investigate the differentially expressed genes(DEGs)and their molecular interactions in unstable carotid atherosclerotic plaques.Methods Gene expression datasets related to carotid atherosclerotic plaques(GSE41571,GSE118481,and E-MTAB-2055)were downloaded from Gene Expression Omnibus(GEO)and European Bioinformatics Institute(EBI)ArrayExpress databases.The co-regulated DEGs in at least two datasets of unstable carotid plaques were merged and analyzed using Gene Ontology Biological Process(GO-BP),Kyoto Encyclopedia of Genes and Genomes(KEGG),Protein-Protein Interaction(PPI)Networks and subnetwork analysis,relationships between miRNAs/transcription factors and target genes,and drug-gene interaction database.Quantitative real-time PCR(qRT-PCR)and enzyme-linked immunosorbent assay(ELISA)were used to detect the expression levels of some DEGs in carotid plaques and plasma from 58 patients with carotid atherosclerosis.Results GO enrichment analysis showed that DEGs in unstable carotid atherosclerotic plaques were mainly enriched in genes related to inflammatory response and extracellular matrix structure genes.KEGG enrichment analysis indicated that upregulated DEGs in unstable carotid plaques were enriched in extracellular matrix receptor(ECM-receptor)interaction,PI3K-Akt,Hippo and transforming growth factor-β(TGF-β)signaling pathways,while downregulated DEGs were primarily enriched in lysosomes,phagosomes,and chemokines processes.PPI network analysis suggested that COL1A2,COL4A2,insulin-like growth factor binding protein 6(IGFBP6),COL4A5,C1QA,CXCL10,CXCL2,CXCR4,and CSF1R may play important roles in PPI networks.Prediction of drug-gene interactions revealed that CSF1R had the most drug interaction,CXCL2 was most antagonized by drugs,and IGFBP6 was most activated by drugs.qRT-PCR showed that the expression level of IGFBP6 in unstable carotid plaques group was significantly lower than that in stable carotid plaques group(P<0.001).ELISA results showed that plasma concentration of IGFBP6 in unstable carotid plaques group was significantly lower than that in stable carotid plaques group(P<0.0001).Receiver operating characteristic(ROC)suggested that the area under the curve(AUC)for plasma IGFBP6 levels to identify unstable plaques was 0.894(95%CI 0.810-0.977),with a cutoff value of 142.08 ng/ml.Conclusion IGFBP6 may become an important biomarker for predicting unstable carotid atherosclerotic plaques.

atherosclerosisapoplexybioinformaticsinsulin-like growth factor binding protein 6

李玉岩、梁莹莹、周洁信、车飞、付金霞

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齐齐哈尔医学院附属第二医院神经内科,黑龙江齐齐哈尔 161006

齐齐哈尔医学院附属第二医院心血管内科,黑龙江齐齐哈尔 161006

动脉粥样硬化 卒中 生物信息学 胰岛素样生长因子结合蛋白6

齐齐哈尔市科技计划创新激励项目

CSFGG-2020148

2024

解放军医学杂志
人民军医出版社

解放军医学杂志

CSTPCD北大核心
影响因子:1.644
ISSN:0577-7402
年,卷(期):2024.49(6)
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