{"title":"与纤维肌痛免疫亚型相关的一个新的11个基因标记的发展。","authors":"Wei Zhao, Pengcheng Wang","doi":"10.2174/0118715303365068250303042017","DOIUrl":null,"url":null,"abstract":"<p><strong>Aim: </strong>The purpose of this study was to identify molecular subtypes and hub genes in fibromyalgia [FM] based on immune-related genes [IRGs].</p><p><strong>Background: </strong>FM is a chronic disease featuring widespread pain, and the immune system may be involved in the FM progression.</p><p><strong>Objective: </strong>The objectives of this study are as follows: 1] To identify the molecular subtypes of FM based on IRGs. 2] To screen and validate the hub genes in FM. 3] To predict the transcription factor [TF] targeting hub genes and 4] To evaluate the correlation between immune cell infiltration, hallmark pathways, and hub genes.</p><p><strong>Methods: </strong>Two FM datasets were acquired from the Gene Expression Omnibus [GEO] database. IRGs were collected from the ImmPort database. Molecular subtypes of FM were identified using the \"ConsensusClusterPlus\" package. IRGs score and differentially expressed genes [DEGs] between different FM subtypes and control samples were obtained using \"GSVA\" and \"limma\" packages. Key module genes related to FM subtypes were identified using the \"WGCNA\" package. Hub genes were screened and verified using \"glmnet\" and \"pROC\" packages. TF-hub gene regulatory network was constructed by Cytoscape software. The correlation between immune cells, hallmark pathways, and hub genes was analyzed by the Spearman method. Finally, the DSigDB database was used to obtain associations between characterized genes and drugs, and the expression of key genes was verified using qRT-PCR.</p><p><strong>Results: </strong>FM samples were classified into two subtypes, and the IRGs score of the C2 subtype was lower than that of the C1 subtype. Then, 184 module genes were obtained and mainly enriched in immune-related pathways. Next, 11 hub genes [TSPAN16, RILPL2, RASSF5, PGAP2, PADI2, NACC1, LRRC25, ITGAD, HIPK1, ATP6V0D1, AP1M2] were screened with good diagnostic performance. Besides, 45 TFs targeting hub genes were predicted. Most hub genes were negatively associated with CD4/CD8 T cells while positively correlated with macrophages, mast cell, monocyte, and neutrophil, as well as inflammatory response, angiogenesis pathways, etc. Molecular docking suggests that chloroquine and L-citrulline may be potent agents for the treatment of NACC1 and PADI2. RILPL2 and ITGAD were significantly differentially expressed in control and FM group mouse models.</p><p><strong>Conclusion: </strong>This study identified two subtypes and 11 hub genes of FM based on IRGs, providing a reference for the clinical diagnosis of FM.</p>","PeriodicalId":94316,"journal":{"name":"Endocrine, metabolic & immune disorders drug targets","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2025-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Development of a Novel 11-Gene Signature Related to Immune Subtypes for Fibromyalgia.\",\"authors\":\"Wei Zhao, Pengcheng Wang\",\"doi\":\"10.2174/0118715303365068250303042017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Aim: </strong>The purpose of this study was to identify molecular subtypes and hub genes in fibromyalgia [FM] based on immune-related genes [IRGs].</p><p><strong>Background: </strong>FM is a chronic disease featuring widespread pain, and the immune system may be involved in the FM progression.</p><p><strong>Objective: </strong>The objectives of this study are as follows: 1] To identify the molecular subtypes of FM based on IRGs. 2] To screen and validate the hub genes in FM. 3] To predict the transcription factor [TF] targeting hub genes and 4] To evaluate the correlation between immune cell infiltration, hallmark pathways, and hub genes.</p><p><strong>Methods: </strong>Two FM datasets were acquired from the Gene Expression Omnibus [GEO] database. IRGs were collected from the ImmPort database. Molecular subtypes of FM were identified using the \\\"ConsensusClusterPlus\\\" package. IRGs score and differentially expressed genes [DEGs] between different FM subtypes and control samples were obtained using \\\"GSVA\\\" and \\\"limma\\\" packages. Key module genes related to FM subtypes were identified using the \\\"WGCNA\\\" package. Hub genes were screened and verified using \\\"glmnet\\\" and \\\"pROC\\\" packages. TF-hub gene regulatory network was constructed by Cytoscape software. The correlation between immune cells, hallmark pathways, and hub genes was analyzed by the Spearman method. Finally, the DSigDB database was used to obtain associations between characterized genes and drugs, and the expression of key genes was verified using qRT-PCR.</p><p><strong>Results: </strong>FM samples were classified into two subtypes, and the IRGs score of the C2 subtype was lower than that of the C1 subtype. Then, 184 module genes were obtained and mainly enriched in immune-related pathways. Next, 11 hub genes [TSPAN16, RILPL2, RASSF5, PGAP2, PADI2, NACC1, LRRC25, ITGAD, HIPK1, ATP6V0D1, AP1M2] were screened with good diagnostic performance. Besides, 45 TFs targeting hub genes were predicted. Most hub genes were negatively associated with CD4/CD8 T cells while positively correlated with macrophages, mast cell, monocyte, and neutrophil, as well as inflammatory response, angiogenesis pathways, etc. Molecular docking suggests that chloroquine and L-citrulline may be potent agents for the treatment of NACC1 and PADI2. RILPL2 and ITGAD were significantly differentially expressed in control and FM group mouse models.</p><p><strong>Conclusion: </strong>This study identified two subtypes and 11 hub genes of FM based on IRGs, providing a reference for the clinical diagnosis of FM.</p>\",\"PeriodicalId\":94316,\"journal\":{\"name\":\"Endocrine, metabolic & immune disorders drug targets\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Endocrine, metabolic & immune disorders drug targets\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2174/0118715303365068250303042017\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Endocrine, metabolic & immune disorders drug targets","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0118715303365068250303042017","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
目的:本研究的目的是基于免疫相关基因[IRGs]鉴定纤维肌痛[FM]的分子亚型和枢纽基因。背景:FM是一种以广泛性疼痛为特征的慢性疾病,免疫系统可能参与FM的进展。目的:本研究的目的如下:1]基于IRGs鉴定FM的分子亚型。[2]筛选和验证FM的枢纽基因。[3]预测靶向中枢基因的转录因子[TF];[4]评估免疫细胞浸润、标志通路和中枢基因之间的相关性。方法:从Gene Expression Omnibus [GEO]数据库中获取两个FM数据集。irg是从import数据库中收集的。使用“ConsensusClusterPlus”软件包确定FM的分子亚型。使用“GSVA”和“limma”包装获得不同FM亚型和对照样本之间的IRGs评分和差异表达基因[DEGs]。使用“WGCNA”包鉴定FM亚型相关的关键模块基因。使用“glmnet”和“pROC”包筛选Hub基因并进行验证。利用Cytoscape软件构建TF-hub基因调控网络。用Spearman方法分析免疫细胞、标志通路和枢纽基因之间的相关性。最后利用DSigDB数据库获取表征基因与药物的关联,并利用qRT-PCR验证关键基因的表达。结果:FM样本分为两种亚型,C2亚型的IRGs评分低于C1亚型。共获得184个模块基因,主要富集于免疫相关通路。接下来,筛选出11个枢纽基因[TSPAN16、RILPL2、RASSF5、PGAP2、PADI2、NACC1、LRRC25、ITGAD、HIPK1、ATP6V0D1、AP1M2],诊断效果较好。此外,还预测了45个靶向枢纽基因的TFs。hub基因多数与CD4/CD8 T细胞呈负相关,而与巨噬细胞、肥大细胞、单核细胞、中性粒细胞以及炎症反应、血管生成途径等呈正相关。分子对接提示氯喹和l -瓜氨酸可能是治疗NACC1和PADI2的有效药物。RILPL2和ITGAD在对照组和FM组小鼠模型中有显著差异表达。结论:本研究基于IRGs鉴定出FM的2个亚型和11个枢纽基因,为FM的临床诊断提供参考。
Development of a Novel 11-Gene Signature Related to Immune Subtypes for Fibromyalgia.
Aim: The purpose of this study was to identify molecular subtypes and hub genes in fibromyalgia [FM] based on immune-related genes [IRGs].
Background: FM is a chronic disease featuring widespread pain, and the immune system may be involved in the FM progression.
Objective: The objectives of this study are as follows: 1] To identify the molecular subtypes of FM based on IRGs. 2] To screen and validate the hub genes in FM. 3] To predict the transcription factor [TF] targeting hub genes and 4] To evaluate the correlation between immune cell infiltration, hallmark pathways, and hub genes.
Methods: Two FM datasets were acquired from the Gene Expression Omnibus [GEO] database. IRGs were collected from the ImmPort database. Molecular subtypes of FM were identified using the "ConsensusClusterPlus" package. IRGs score and differentially expressed genes [DEGs] between different FM subtypes and control samples were obtained using "GSVA" and "limma" packages. Key module genes related to FM subtypes were identified using the "WGCNA" package. Hub genes were screened and verified using "glmnet" and "pROC" packages. TF-hub gene regulatory network was constructed by Cytoscape software. The correlation between immune cells, hallmark pathways, and hub genes was analyzed by the Spearman method. Finally, the DSigDB database was used to obtain associations between characterized genes and drugs, and the expression of key genes was verified using qRT-PCR.
Results: FM samples were classified into two subtypes, and the IRGs score of the C2 subtype was lower than that of the C1 subtype. Then, 184 module genes were obtained and mainly enriched in immune-related pathways. Next, 11 hub genes [TSPAN16, RILPL2, RASSF5, PGAP2, PADI2, NACC1, LRRC25, ITGAD, HIPK1, ATP6V0D1, AP1M2] were screened with good diagnostic performance. Besides, 45 TFs targeting hub genes were predicted. Most hub genes were negatively associated with CD4/CD8 T cells while positively correlated with macrophages, mast cell, monocyte, and neutrophil, as well as inflammatory response, angiogenesis pathways, etc. Molecular docking suggests that chloroquine and L-citrulline may be potent agents for the treatment of NACC1 and PADI2. RILPL2 and ITGAD were significantly differentially expressed in control and FM group mouse models.
Conclusion: This study identified two subtypes and 11 hub genes of FM based on IRGs, providing a reference for the clinical diagnosis of FM.