Xia Zhao, Long Li, Shan Jin, Yufei Feng, Yinfei Lu, Yankai Xu, Shiwei Xie, Lijuan Pang, Kejian Liu
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For the top differentially expressed genes (DEGs), we performed functional enrichment analyses, including Gene Ontology (GO) biological processes, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and constructed a protein-protein interaction (PPI) network. Additionally, we employed CIBERSORT to perform immunoinfiltration analysis to elucidate the relationship between DEG and immune cells.</p><p><strong>Results: </strong>CAPN1 was identified as the optimal mRNA, corresponding to the top DEG. We developed a diagnostic prediction model with an area under the receiver operating characteristic curve (AUC) of 0.93333, indicating robust predictive performance of the model. Subsequently, the results of GO and KEGG indicated that CAPN1-related co-expression genes were predominantly enriched in the PI3K-Akt signaling pathway, with GSK3B and BRCA1 identified as key nodes within the PPI network. Additionally, we employed CIBERSORT to perform immunoinfiltration analysis to elucidate the relationship between CAPN1 and immune cells.</p><p><strong>Conclusions: </strong>CAPN1 has the potential to function as a non-invasive biomarker for the diagnosis of ISR, which influences Tfh and naive B cells via the PI3K/AKT pathway, potentially aiding early diagnosis, treatment, and prognosis of ISR.</p>","PeriodicalId":10384,"journal":{"name":"Clinical laboratory","volume":"71 9","pages":""},"PeriodicalIF":0.6000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Comprehensive Analysis of the Immune-Related lncRNA-miRNA-mRNA Network and Identification of a Novel Potential Biomarker for ISR.\",\"authors\":\"Xia Zhao, Long Li, Shan Jin, Yufei Feng, Yinfei Lu, Yankai Xu, Shiwei Xie, Lijuan Pang, Kejian Liu\",\"doi\":\"10.7754/Clin.Lab.2025.241243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The lncRNA-miRNA-mRNA regulatory network is recognized for its significant role in cardiovascular diseases, yet its involvement in in-stent restenosis (ISR) remains unexplored. 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引用次数: 0
摘要
背景:lncRNA-miRNA-mRNA调控网络在心血管疾病中发挥着重要作用,但其在支架内再狭窄(ISR)中的作用仍未被探索。我们的研究旨在探讨这个调节网络如何通过调节炎症和免疫来影响ISR的发生和发展。方法:利用Gene Expression Omnibus (GEO)数据库数据,构建ISR特异性lncRNA-miRNA-mRNA调控网络。我们使用最小绝对收缩和选择算子(LASSO)分析构建了预测模型,并使用nomogram和receiver operating characteristic (ROC)曲线分析对其进行了验证。对于顶级差异表达基因(DEGs),我们进行了功能富集分析,包括基因本体(GO)生物过程,京都基因和基因组百科全书(KEGG)途径,并构建了蛋白质-蛋白质相互作用(PPI)网络。此外,我们采用CIBERSORT进行免疫浸润分析,以阐明DEG与免疫细胞之间的关系。结果:CAPN1被确定为最优mRNA,对应于最高DEG。我们建立了一个诊断预测模型,其受试者工作特征曲线下面积(AUC)为0.93333,表明该模型具有稳健的预测性能。随后,GO和KEGG的结果表明,capn1相关的共表达基因主要富集在PI3K-Akt信号通路中,GSK3B和BRCA1被鉴定为PPI网络中的关键节点。此外,我们采用CIBERSORT进行免疫浸润分析,以阐明CAPN1与免疫细胞的关系。结论:CAPN1具有作为ISR诊断的非侵入性生物标志物的潜力,它通过PI3K/AKT通路影响Tfh和幼稚B细胞,可能有助于ISR的早期诊断、治疗和预后。
Comprehensive Analysis of the Immune-Related lncRNA-miRNA-mRNA Network and Identification of a Novel Potential Biomarker for ISR.
Background: The lncRNA-miRNA-mRNA regulatory network is recognized for its significant role in cardiovascular diseases, yet its involvement in in-stent restenosis (ISR) remains unexplored. Our study aimed to investigate how this regulatory network influences ISR occurrence and development by modulating inflammation and immunity.
Methods: By utilizing data extracted from the Gene Expression Omnibus (GEO) database, we constructed the lncRNA-miRNA-mRNA regulatory network specific to ISR. We constructed a prediction model using least absolute shrinkage and selection operator (LASSO) analysis and validated it using a nomogram and receiver operating characteristic (ROC) curve analysis. For the top differentially expressed genes (DEGs), we performed functional enrichment analyses, including Gene Ontology (GO) biological processes, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, and constructed a protein-protein interaction (PPI) network. Additionally, we employed CIBERSORT to perform immunoinfiltration analysis to elucidate the relationship between DEG and immune cells.
Results: CAPN1 was identified as the optimal mRNA, corresponding to the top DEG. We developed a diagnostic prediction model with an area under the receiver operating characteristic curve (AUC) of 0.93333, indicating robust predictive performance of the model. Subsequently, the results of GO and KEGG indicated that CAPN1-related co-expression genes were predominantly enriched in the PI3K-Akt signaling pathway, with GSK3B and BRCA1 identified as key nodes within the PPI network. Additionally, we employed CIBERSORT to perform immunoinfiltration analysis to elucidate the relationship between CAPN1 and immune cells.
Conclusions: CAPN1 has the potential to function as a non-invasive biomarker for the diagnosis of ISR, which influences Tfh and naive B cells via the PI3K/AKT pathway, potentially aiding early diagnosis, treatment, and prognosis of ISR.
期刊介绍:
Clinical Laboratory is an international fully peer-reviewed journal covering all aspects of laboratory medicine and transfusion medicine. In addition to transfusion medicine topics Clinical Laboratory represents submissions concerning tissue transplantation and hematopoietic, cellular and gene therapies. The journal publishes original articles, review articles, posters, short reports, case studies and letters to the editor dealing with 1) the scientific background, implementation and diagnostic significance of laboratory methods employed in hospitals, blood banks and physicians'' offices and with 2) scientific, administrative and clinical aspects of transfusion medicine and 3) in addition to transfusion medicine topics Clinical Laboratory represents submissions concerning tissue transplantation and hematopoietic, cellular and gene therapies.