{"title":"Identification of <i>CD14</i> as a Potential Biomarker Relating to PANoptosis in Chronic Obstructive Pulmonary Disease.","authors":"Xue Fu, Jiawei Dong, Jian Yang, Xiaotian Zhang, Shangkun Cai, Yiwei Zhang, Shenglong Lv, Meng Zhang","doi":"10.2147/COPD.S577042","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The processes of pyroptosis, apoptosis, and necroptosis (PANoptosis) play a crucial role in the development of chronic obstructive pulmonary disease (COPD). Our objective is to explore potential PANoptosis-related genes in COPD.</p><p><strong>Methods: </strong>Human COPD-related transcriptomic datasets (GSE8545, GSE20257, GSE11784 and GSE1650) were retrieved from the Gene Expression Omnibus (GEO). First, based on GSE8545 dataset, candidate genes were identified using differentially expressed gene (DEG) analysis, Weighted Gene Co-expression Network Analysis (WGCNA), Least Absolute Shrinkage and Selection Operator (LASSO) regression, and Support Vector Machine-Recursive Feature Elimination (SVM-RFE). Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted for the relevant genes. <i>CD14</i> was identified as a diagnostic biomarker through validation across independent human cohorts (GSE20257 and GSE11784). CIBERSORT was employed to evaluate immune infiltration differences between <i>CD14</i> expression groups. Finally, potential therapeutic drugs for <i>CD14</i> were predicted using the Drug-Gene Interaction Database (DGIdb).</p><p><strong>Results: </strong>Three PANoptosis-related hub genes (<i>CD14, IRF2</i>, and <i>BOK</i>) were defined in this study. KEGG enrichment analysis revealed that these genes were significantly enriched in the \"Apoptosis - multiple species\" signaling pathway. Validation across multiple independent human datasets identified <i>CD14</i> as the key gene. <i>CD14</i> exhibited significantly elevated expression in the lung tissues of COPD patients (P < 0.001). Immune infiltration analysis indicated that <i>CD14</i> expression levels were significantly negatively correlated with resting mast cells and positively correlated with monocytes. Receiver Operating Characteristic curve analysis confirmed the robust diagnostic performance and stability of <i>CD14</i>, with Area Under the Curve values of 0.756, 0.702, 0.703, and 0.732 in the GSE8545, GSE20257, GSE11784, and GSE1650 datasets, respectively. Furthermore, three potential therapeutic agents targeting <i>CD14</i>-VB-201, LOVASTATIN, and IC143-were predicted.</p><p><strong>Conclusion: </strong>We identified <i>CD14</i> as a marker gene associating with PANoptosis in COPD, providing new ideas for clinical diagnosis and drug design of COPD.</p>","PeriodicalId":48818,"journal":{"name":"International Journal of Chronic Obstructive Pulmonary Disease","volume":"21 ","pages":"577042"},"PeriodicalIF":3.1000,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13144298/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Chronic Obstructive Pulmonary Disease","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/COPD.S577042","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
引用次数: 0
Abstract
Background: The processes of pyroptosis, apoptosis, and necroptosis (PANoptosis) play a crucial role in the development of chronic obstructive pulmonary disease (COPD). Our objective is to explore potential PANoptosis-related genes in COPD.
Methods: Human COPD-related transcriptomic datasets (GSE8545, GSE20257, GSE11784 and GSE1650) were retrieved from the Gene Expression Omnibus (GEO). First, based on GSE8545 dataset, candidate genes were identified using differentially expressed gene (DEG) analysis, Weighted Gene Co-expression Network Analysis (WGCNA), Least Absolute Shrinkage and Selection Operator (LASSO) regression, and Support Vector Machine-Recursive Feature Elimination (SVM-RFE). Subsequently, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were conducted for the relevant genes. CD14 was identified as a diagnostic biomarker through validation across independent human cohorts (GSE20257 and GSE11784). CIBERSORT was employed to evaluate immune infiltration differences between CD14 expression groups. Finally, potential therapeutic drugs for CD14 were predicted using the Drug-Gene Interaction Database (DGIdb).
Results: Three PANoptosis-related hub genes (CD14, IRF2, and BOK) were defined in this study. KEGG enrichment analysis revealed that these genes were significantly enriched in the "Apoptosis - multiple species" signaling pathway. Validation across multiple independent human datasets identified CD14 as the key gene. CD14 exhibited significantly elevated expression in the lung tissues of COPD patients (P < 0.001). Immune infiltration analysis indicated that CD14 expression levels were significantly negatively correlated with resting mast cells and positively correlated with monocytes. Receiver Operating Characteristic curve analysis confirmed the robust diagnostic performance and stability of CD14, with Area Under the Curve values of 0.756, 0.702, 0.703, and 0.732 in the GSE8545, GSE20257, GSE11784, and GSE1650 datasets, respectively. Furthermore, three potential therapeutic agents targeting CD14-VB-201, LOVASTATIN, and IC143-were predicted.
Conclusion: We identified CD14 as a marker gene associating with PANoptosis in COPD, providing new ideas for clinical diagnosis and drug design of COPD.
背景:在慢性阻塞性肺疾病(COPD)的发展过程中,焦亡、凋亡和坏死下垂(PANoptosis)起着至关重要的作用。我们的目的是探索COPD中潜在的panopatosis相关基因。方法:从Gene Expression Omnibus (GEO)检索人类copd相关转录组数据集(GSE8545、GSE20257、GSE11784和GSE1650)。首先,基于GSE8545数据集,采用差异表达基因(DEG)分析、加权基因共表达网络分析(WGCNA)、最小绝对收缩和选择算子(LASSO)回归、支持向量机递归特征消除(SVM-RFE)等方法对候选基因进行识别。随后,对相关基因进行基因本体(GO)和京都基因与基因组百科全书(KEGG)途径富集分析。通过独立人类队列(GSE20257和GSE11784)的验证,CD14被确定为一种诊断性生物标志物。采用CIBERSORT评价CD14表达组间免疫浸润差异。最后,利用药物-基因相互作用数据库(DGIdb)预测CD14的潜在治疗药物。结果:本研究确定了3个panoptosis相关中心基因(CD14、IRF2和BOK)。KEGG富集分析显示,这些基因在“凋亡-多物种”信号通路中显著富集。通过多个独立的人类数据集验证,CD14被确定为关键基因。CD14在COPD患者肺组织中表达显著升高(P < 0.001)。免疫浸润分析显示CD14表达水平与静止肥大细胞呈显著负相关,与单核细胞呈正相关。受试者工作特征曲线分析证实了CD14在GSE8545、GSE20257、GSE11784和GSE1650数据集上的曲线下面积(Area Under the curve)分别为0.756、0.702、0.703和0.732,具有稳健的诊断性能和稳定性。此外,预测了三种靶向CD14-VB-201、洛伐他汀和ic143的潜在治疗药物。结论:我们发现CD14是COPD患者PANoptosis相关的标志物基因,为COPD的临床诊断和药物设计提供了新的思路。
期刊介绍:
An international, peer-reviewed journal of therapeutics and pharmacology focusing on concise rapid reporting of clinical studies and reviews in COPD. Special focus will be given to the pathophysiological processes underlying the disease, intervention programs, patient focused education, and self management protocols. This journal is directed at specialists and healthcare professionals