Expression Profile and Clinical Significance of Ferroptosis-Related Genes in Peripheral Blood Mononuclear Cells of Patients with Systemic Sclerosis.

IF 1.2 Q4 RHEUMATOLOGY
Shun-Bing Wang, Tian-Yi Lei, Jian-Wei Guo, Xiang Yu, Hong-Yuan Xie, Zeng-Zhang, Jian-Xiong Zheng, Quan-Bo Zhang, Yu-Feng Qing
{"title":"Expression Profile and Clinical Significance of Ferroptosis-Related Genes in Peripheral Blood Mononuclear Cells of Patients with Systemic Sclerosis.","authors":"Shun-Bing Wang, Tian-Yi Lei, Jian-Wei Guo, Xiang Yu, Hong-Yuan Xie, Zeng-Zhang, Jian-Xiong Zheng, Quan-Bo Zhang, Yu-Feng Qing","doi":"10.2174/0115733971453461260624045940","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Systemic sclerosis (SSc) is a severe autoimmune disease marked by immune dysregulation and progressive fibrosis, yet reliable blood biomarkers remain limited. Ferroptosis, an iron‑dependent lipid peroxidation-driven cell death pathway, links iron/redox imbalance to inflammation and fibrotic remodeling, but its role in SSc is poorly defined. To profile Ferroptosis‑Related Genes (FRGs) in Peripheral Blood Mononuclear Cells (PBMCs) from SSc patients and assess their clinical significance.</p><p><strong>Methods: </strong>Transcriptional profiles from four SSc patients and six Healthy Controls (HCs) were analyzed using the Arraystar Human LncRNA Microarray to identify Differentially Expressed Genes (DEGs). Ferroptosis-related DEGs in SSc (Ferr-DEGs) were obtained by intersecting DEGs with a ferroptosis database, and key Ferr-DEGs were prioritized using bioinformatic analyses. Immune cell infiltration was estimated using single-sample gene set enrichment analysis (ssGSEA). The expression of selected genes was validated by quantitative real-time polymerase chain reaction (RT-qPCR) in an expanded cohort (SSc = 36, HC = 36), and correlations with clinical indicators were assessed. Diagnostic performance was evaluated using ROC curves.</p><p><strong>Results: </strong>Microarray analysis revealed 397 upregulated and 637 downregulated DEGs in the SSc group. Bioinformatic analyses identified eight ferroptosis-associated key genes in SSc: MAPK14, SRC, ATF3, CYBB, ACSL1, STK11, PLIN2, and NCF2. MAPK14, SRC, ATF3, and CYBB were significantly upregulated in SSc compared with HCs, whereas ACSL1 was downregulated. Notably, SRC showed good diagnostic performance for SSc, with an AUC of 0.891 (95% CI, 0.819-0.964).</p><p><strong>Discussion: </strong>Given the emerging link between ferroptosis and autoimmune diseases, exploring its role in the pathogenesis of Systemic Sclerosis (SSc) could open new avenues for improving diagnostic and therapeutic strategies.</p><p><strong>Conclusions: </strong>Our findings indicate significant dysregulation of FRGs in PBMCs from SSc patients, suggesting their potential involvement in inflammation, immune cell infiltration, and fibrosis; notably, SRC may serve as a candidate diagnostic marker for SSc.</p>","PeriodicalId":11188,"journal":{"name":"Current rheumatology reviews","volume":" ","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2026-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current rheumatology reviews","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/0115733971453461260624045940","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"RHEUMATOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Systemic sclerosis (SSc) is a severe autoimmune disease marked by immune dysregulation and progressive fibrosis, yet reliable blood biomarkers remain limited. Ferroptosis, an iron‑dependent lipid peroxidation-driven cell death pathway, links iron/redox imbalance to inflammation and fibrotic remodeling, but its role in SSc is poorly defined. To profile Ferroptosis‑Related Genes (FRGs) in Peripheral Blood Mononuclear Cells (PBMCs) from SSc patients and assess their clinical significance.

Methods: Transcriptional profiles from four SSc patients and six Healthy Controls (HCs) were analyzed using the Arraystar Human LncRNA Microarray to identify Differentially Expressed Genes (DEGs). Ferroptosis-related DEGs in SSc (Ferr-DEGs) were obtained by intersecting DEGs with a ferroptosis database, and key Ferr-DEGs were prioritized using bioinformatic analyses. Immune cell infiltration was estimated using single-sample gene set enrichment analysis (ssGSEA). The expression of selected genes was validated by quantitative real-time polymerase chain reaction (RT-qPCR) in an expanded cohort (SSc = 36, HC = 36), and correlations with clinical indicators were assessed. Diagnostic performance was evaluated using ROC curves.

Results: Microarray analysis revealed 397 upregulated and 637 downregulated DEGs in the SSc group. Bioinformatic analyses identified eight ferroptosis-associated key genes in SSc: MAPK14, SRC, ATF3, CYBB, ACSL1, STK11, PLIN2, and NCF2. MAPK14, SRC, ATF3, and CYBB were significantly upregulated in SSc compared with HCs, whereas ACSL1 was downregulated. Notably, SRC showed good diagnostic performance for SSc, with an AUC of 0.891 (95% CI, 0.819-0.964).

Discussion: Given the emerging link between ferroptosis and autoimmune diseases, exploring its role in the pathogenesis of Systemic Sclerosis (SSc) could open new avenues for improving diagnostic and therapeutic strategies.

Conclusions: Our findings indicate significant dysregulation of FRGs in PBMCs from SSc patients, suggesting their potential involvement in inflammation, immune cell infiltration, and fibrosis; notably, SRC may serve as a candidate diagnostic marker for SSc.

系统性硬化症患者外周血单核细胞嗜铁相关基因的表达谱及临床意义
系统性硬化症(SSc)是一种以免疫失调和进行性纤维化为特征的严重自身免疫性疾病,但可靠的血液生物标志物仍然有限。铁凋亡是一种依赖铁的脂质过氧化驱动的细胞死亡途径,将铁/氧化还原失衡与炎症和纤维化重塑联系起来,但其在SSc中的作用尚不明确。目的:分析SSc患者外周血单个核细胞(PBMCs)中铁死亡相关基因(FRGs),并评估其临床意义。方法:使用Arraystar Human LncRNA微阵列分析4例SSc患者和6例健康对照(hc)的转录谱,以鉴定差异表达基因(DEGs)。通过与铁腐病数据库交叉获得SSc中与铁腐病相关的DEGs (Ferr-DEGs),并通过生物信息学分析对关键的Ferr-DEGs进行优先排序。利用单样本基因集富集分析(ssGSEA)估计免疫细胞浸润。在扩大的队列(SSc = 36, HC = 36)中,通过定量实时聚合酶链反应(RT-qPCR)验证所选基因的表达,并评估其与临床指标的相关性。采用ROC曲线评价诊断效果。结果:微阵列分析显示,SSc组中有397个deg上调,637个deg下调。生物信息学分析鉴定出SSc中8个与铁凋亡相关的关键基因:MAPK14、SRC、ATF3、CYBB、ACSL1、STK11、PLIN2和NCF2。与hcc相比,MAPK14、SRC、ATF3和CYBB在SSc中显著上调,而ACSL1则下调。值得注意的是,SRC对SSc具有良好的诊断性能,AUC为0.891 (95% CI, 0.819-0.964)。讨论:考虑到铁下垂与自身免疫性疾病之间的联系,探索其在系统性硬化症(SSc)发病机制中的作用可以为改进诊断和治疗策略开辟新的途径。结论:我们的研究结果表明,SSc患者外周血单核细胞中FRGs明显失调,表明它们可能参与炎症、免疫细胞浸润和纤维化;值得注意的是,SRC可以作为SSc的候选诊断标记物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
2.30
自引率
0.00%
发文量
82
期刊介绍: Current Rheumatology Reviews publishes frontier reviews on all the latest advances on rheumatology and its related areas e.g. pharmacology, pathogenesis, epidemiology, clinical care, and therapy. The journal"s aim is to publish the highest quality review articles dedicated to clinical research in the field. The journal is essential reading for all researchers and clinicians in rheumatology.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书