医学文献 >>
  • 检索发现
  • 增强检索
知识库 >>
  • 临床诊疗知识库
  • 中医药知识库
评价分析 >>
  • 机构
  • 作者
默认
×
热搜词:
换一批
论文 期刊
取消
高级检索

检索历史 清除

Identification of ferroptosis-related genes involved in chronic obstructive pulmonary disease based on bioinformatics analysis

摘要Background:Chronic obstructive pulmonary disease(COPD)is a type of chronic res-piratory disease.Studies confirmed that ferroptosis was involved in the progression of COPD,and its related mechanism is not clear.The aim of this study was to identify ferroptosis-related genes and reveal its pathological application in COPD.Methods:First,we downloaded two datasets from the Gene Expression Omnibus(GEO)to obtain the differential genes of COPD.Ferroptosis-related genes were ob-tained from the ferroptosis database,FerrDb.Next,we obtained the key genes in COPD rat to identify potential biomarkers using quantitative real-time polymerase chain reaction.Ferroptosis and inflammation were assessed using hematoxylin and eosin staining,lung function tests,and transmission electron microscopy(TEM).Results:These results were used to construct a COPD risk model with six key genes and explore the immunological characteristics of these genes.The resulting mo-lecular subtype construction confirmed the importance of the key genes in COPD.Furthermore,we proved that ferroptosis occurred in the COPD rat model and identi-fied the six key genes in rat lung tissue.TEM showed significant functional impairment and structural alterations in mitochondria,which is the key site of ferroptosis.Conclusion:Our COPD risk model,incorporating six key genes,highlighted their im-munological roles in COPD using bioinformatics analysis and in vivo experiments.We hope to provide the basis for the treatment targeting ferroptosis in COPD.

更多
广告
提交
  • 浏览5
  • 下载0
动物模型与实验医学(英文)

加载中!

相似文献

  • 中文期刊
  • 外文期刊
  • 学位论文
  • 会议论文

加载中!

加载中!

加载中!

加载中!

法律状态公告日 法律状态 法律状态信息

特别提示:本网站仅提供医学学术资源服务,不销售任何药品和器械,有关药品和器械的销售信息,请查阅其他网站。

  • 客服热线:4000-115-888 转3 (周一至周五:8:00至17:00)

  • |
  • 客服邮箱:yiyao@wanfangdata.com.cn

  • 违法和不良信息举报电话:4000-115-888,举报邮箱:problem@wanfangdata.com.cn,举报专区

官方微信
万方医学小程序
new医文AI 翻译 充值 订阅 收藏 移动端

官方微信

万方医学小程序

使用
帮助
Alternate Text
调查问卷