Bioinformatics Identification and Validation of Ferroptosis-Related Key Genes and Therapeutic Compounds in Septic Lung Injury.

IF 4.1 2区 医学 Q2 IMMUNOLOGY Journal of Inflammation Research Pub Date : 2024-11-21 eCollection Date: 2024-01-01 DOI:10.2147/JIR.S476522
Zhile Li, Han Gan, Siyuan Li, Yuchen Xue, Kai Luo, Kai Huang, Yunqian Zhang, Yan Wang, Lai Jiang, Hui Zhang
{"title":"Bioinformatics Identification and Validation of Ferroptosis-Related Key Genes and Therapeutic Compounds in Septic Lung Injury.","authors":"Zhile Li, Han Gan, Siyuan Li, Yuchen Xue, Kai Luo, Kai Huang, Yunqian Zhang, Yan Wang, Lai Jiang, Hui Zhang","doi":"10.2147/JIR.S476522","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Septic lung injury (SLI) is a severe condition with high mortality, and ferroptosis, a form of programmed cell death, is implicated in its pathogenesis. However, the explicit mechanisms underlying this condition remain unclear. This study aimed to elucidate and validate key ferroptosis-related genes involved in the pathogenesis of SLI through bioinformatics analysis and experimental validation.</p><p><strong>Methods: </strong>Microarray data related to SLI from the GSE130936 dataset were downloaded from the Gene Expression Omnibus (GEO) database. These data were then intersected with the FerrDb database to obtain ferroptosis-related differentially expressed genes (DEGs). Protein-protein interaction (PPI) networks and functional enrichment analysis were employed to identify key ferroptosis-related DEGs. The Connectivity Map (c-MAP) tool was used to search for potential compounds or drugs that may inhibit ferroptosis-related DEGs. The transcriptional levels of the key genes and potential therapeutic compounds were verified in an LPS-induced mouse model of lung injury. The expression of these key genes was further verified using the GSE60088 and GSE137342 datasets.</p><p><strong>Results: </strong>38 ferroptosis-related DEGs were identified between the septic and control mice. PPI network analysis revealed four modules, the most significant of which included eight ferroptosis-related DEGs. Functional enrichment analysis showed that these genes were enriched in the HIF-1 signaling pathway, including IL-6 (Interleukin-6), TIMP1 (Tissue Inhibitor of Metalloproteinase 1), HIF-1α (Hypoxia-Inducible Factor-1α), and HMOX1 (Heme Oxygenase-1). Phloretin, a natural compound, was identified as a potential inhibitor of these genes. Treatment with phloretin significantly reduced the expression of these genes (<i>p</i> < 0.05), mitigated lung injury, improved inflammatory profiles by approximately 50%, and ferroptosis profiles by nearly 30% in the SLI models.</p><p><strong>Conclusion: </strong>This study elucidates the significant role of ferroptosis in SLI and identifies phloretin as a potential therapeutic agent. However, further research, particularly involving human clinical trials, is necessary to validate these findings for clinical use.</p>","PeriodicalId":16107,"journal":{"name":"Journal of Inflammation Research","volume":"17 ","pages":"9215-9230"},"PeriodicalIF":4.1000,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11589777/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Inflammation Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/JIR.S476522","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"IMMUNOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Background: Septic lung injury (SLI) is a severe condition with high mortality, and ferroptosis, a form of programmed cell death, is implicated in its pathogenesis. However, the explicit mechanisms underlying this condition remain unclear. This study aimed to elucidate and validate key ferroptosis-related genes involved in the pathogenesis of SLI through bioinformatics analysis and experimental validation.

Methods: Microarray data related to SLI from the GSE130936 dataset were downloaded from the Gene Expression Omnibus (GEO) database. These data were then intersected with the FerrDb database to obtain ferroptosis-related differentially expressed genes (DEGs). Protein-protein interaction (PPI) networks and functional enrichment analysis were employed to identify key ferroptosis-related DEGs. The Connectivity Map (c-MAP) tool was used to search for potential compounds or drugs that may inhibit ferroptosis-related DEGs. The transcriptional levels of the key genes and potential therapeutic compounds were verified in an LPS-induced mouse model of lung injury. The expression of these key genes was further verified using the GSE60088 and GSE137342 datasets.

Results: 38 ferroptosis-related DEGs were identified between the septic and control mice. PPI network analysis revealed four modules, the most significant of which included eight ferroptosis-related DEGs. Functional enrichment analysis showed that these genes were enriched in the HIF-1 signaling pathway, including IL-6 (Interleukin-6), TIMP1 (Tissue Inhibitor of Metalloproteinase 1), HIF-1α (Hypoxia-Inducible Factor-1α), and HMOX1 (Heme Oxygenase-1). Phloretin, a natural compound, was identified as a potential inhibitor of these genes. Treatment with phloretin significantly reduced the expression of these genes (p < 0.05), mitigated lung injury, improved inflammatory profiles by approximately 50%, and ferroptosis profiles by nearly 30% in the SLI models.

Conclusion: This study elucidates the significant role of ferroptosis in SLI and identifies phloretin as a potential therapeutic agent. However, further research, particularly involving human clinical trials, is necessary to validate these findings for clinical use.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
化脓性肺损伤中与铁突变相关的关键基因和治疗化合物的生物信息学鉴定与验证。
背景:脓毒性肺损伤(SLI)是一种严重的疾病,死亡率很高,而铁蛋白沉积(一种程序性细胞死亡)与脓毒性肺损伤的发病机制有关。然而,这种情况的明确机制仍不清楚。本研究旨在通过生物信息学分析和实验验证,阐明并验证参与SLI发病机制的关键铁突变相关基因:方法:从基因表达总库(GEO)数据库下载了 GSE130936 数据集中与 SLI 相关的微阵列数据。然后将这些数据与 FerrDb 数据库进行交叉,以获得与铁突变相关的差异表达基因(DEGs)。蛋白质-蛋白质相互作用(PPI)网络和功能富集分析被用来识别与铁中毒相关的关键 DEGs。Connectivity Map(c-MAP)工具被用来搜索可能抑制铁中毒相关DEGs的潜在化合物或药物。在 LPS 诱导的小鼠肺损伤模型中验证了关键基因和潜在治疗化合物的转录水平。利用 GSE60088 和 GSE137342 数据集进一步验证了这些关键基因的表达:结果:在脓毒症小鼠和对照组小鼠中发现了 38 个与铁变态反应相关的 DEGs。PPI网络分析发现了4个模块,其中最重要的模块包括8个与败血症相关的DEGs。功能富集分析表明,这些基因富集于HIF-1信号通路,包括IL-6(白细胞介素-6)、TIMP1(组织金属蛋白酶抑制剂1)、HIF-1α(缺氧诱导因子-1α)和HMOX1(血红素加氧酶-1)。研究发现,天然化合物 Phloretin 是这些基因的潜在抑制剂。在 SLI 模型中,使用 Phloretin 治疗可明显降低这些基因的表达(p < 0.05),减轻肺损伤,改善炎症状况约 50%,改善铁变态反应状况近 30%:本研究阐明了铁蛋白沉积在 SLI 中的重要作用,并确定了噬菌体素作为一种潜在的治疗药物。然而,要将这些发现应用于临床,还需要进一步的研究,特别是涉及人体临床试验的研究。
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 去求助
来源期刊
Journal of Inflammation Research
Journal of Inflammation Research Immunology and Microbiology-Immunology
CiteScore
6.10
自引率
2.20%
发文量
658
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed, open access, online journal that welcomes laboratory and clinical findings on the molecular basis, cell biology and pharmacology of inflammation.
期刊最新文献
Standardized Extract of Flavonoids from Smilax glabra Alleviates Gouty Arthritis by Multi-Target Inhibition of Neutrophil Extracellular Traps via the Raf/ERK and Histone Citrullination Pathways. ω-3 PUFAs Attenuate Postoperative Ileus by Modulating Macrophage Polarization via the JAK2/STAT3 Signaling Pathway. Association of Increased Nasal Fluids-Serum Concordance of Protein Profile with Prognosis in Nasal Polyps. Impact of Preoperative Neutrophil Percentage-to-Albumin Ratio (NPAR) on Short-Term Complications and Long-Term Prognosis in Patients Undergoing Robot-Assisted Laparoscopic Radical Surgery for Colorectal Cancer. Plasma Exosomal LncRNA XIST Impairs CD4+ T Cell Autophagy and Promotes Activation via the miR-98/RICTOR/Akt-mTOR Axis in Systemic Lupus Erythematosus.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1