Dynamics of T Cell-Mediated Immune Signaling Network During Pathogenesis of Chronic Obstructive Pulmonary Disease.

IF 2.8 4区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Chae Min Lee, Andrew Sehoon Kim, Minki Kim, Jae Woong Jeong, Sugyeong Jo, Nahee Hwang, Sungsoon Fang
{"title":"Dynamics of T Cell-Mediated Immune Signaling Network During Pathogenesis of Chronic Obstructive Pulmonary Disease.","authors":"Chae Min Lee, Andrew Sehoon Kim, Minki Kim, Jae Woong Jeong, Sugyeong Jo, Nahee Hwang, Sungsoon Fang","doi":"10.3349/ymj.2024.0227","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Chronic obstructive pulmonary disease (COPD) is characterized by alveolar destruction and increased inflammation, leading to respiratory symptoms. This study aimed to identify the traits for COPD progression from mild to severe stages. Additionally, we explored the correlation between coronavirus disease-2019 (COVID-19) and COPD to uncover overlapping respiratory patterns.</p><p><strong>Materials and methods: </strong>Bulk RNA sequencing was conducted on data from 43 healthy individuals and 39 COPD patients across one dataset (GSE239897) to distinguish COPD characteristics. Single-cell RNA analysis was then performed on samples from seven mild patients, seven moderate patients, and three severe patients from three datasets (GSE167295, GSE173896, and GSE227691) to analyze disease progression. Finally, single-nuclei RNA analysis was applied to data from seven healthy individuals and 20 COVID-19 patients from one dataset (GSE171524) to compare the two conditions.</p><p><strong>Results: </strong>Bulk RNA sequencing revealed enhanced inflammatory pathways in COPD patients, indicating increased inflammation. Single-cell RNA sequencing showed a stronger inflammatory response from mild to moderate COPD with a decrease from moderate to severe stages. COVID-19 displayed similar biological patterns to moderate COPD, suggesting that stage-specific COPD analysis could enhance COVID-19 management.</p><p><strong>Conclusion: </strong>The analysis found that immune responses increased from mild to moderate stages but declined in severe cases, marked by reduced pulmonary T cell activation. The overlap between moderate COPD and COVID-19 suggests shared therapeutic strategies, warranting further investigation.</p>","PeriodicalId":23765,"journal":{"name":"Yonsei Medical Journal","volume":"66 6","pages":"354-365"},"PeriodicalIF":2.8000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12116870/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Yonsei Medical Journal","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3349/ymj.2024.0227","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: Chronic obstructive pulmonary disease (COPD) is characterized by alveolar destruction and increased inflammation, leading to respiratory symptoms. This study aimed to identify the traits for COPD progression from mild to severe stages. Additionally, we explored the correlation between coronavirus disease-2019 (COVID-19) and COPD to uncover overlapping respiratory patterns.

Materials and methods: Bulk RNA sequencing was conducted on data from 43 healthy individuals and 39 COPD patients across one dataset (GSE239897) to distinguish COPD characteristics. Single-cell RNA analysis was then performed on samples from seven mild patients, seven moderate patients, and three severe patients from three datasets (GSE167295, GSE173896, and GSE227691) to analyze disease progression. Finally, single-nuclei RNA analysis was applied to data from seven healthy individuals and 20 COVID-19 patients from one dataset (GSE171524) to compare the two conditions.

Results: Bulk RNA sequencing revealed enhanced inflammatory pathways in COPD patients, indicating increased inflammation. Single-cell RNA sequencing showed a stronger inflammatory response from mild to moderate COPD with a decrease from moderate to severe stages. COVID-19 displayed similar biological patterns to moderate COPD, suggesting that stage-specific COPD analysis could enhance COVID-19 management.

Conclusion: The analysis found that immune responses increased from mild to moderate stages but declined in severe cases, marked by reduced pulmonary T cell activation. The overlap between moderate COPD and COVID-19 suggests shared therapeutic strategies, warranting further investigation.

慢性阻塞性肺疾病发病过程中T细胞介导的免疫信号网络的动态变化
目的:慢性阻塞性肺疾病(COPD)的特点是肺泡破坏和炎症增加,导致呼吸道症状。本研究旨在确定COPD从轻度到重度进展的特征。此外,我们探索了冠状病毒病-2019 (COVID-19)和COPD之间的相关性,以发现重叠的呼吸模式。材料和方法:对来自一个数据集(GSE239897)的43名健康个体和39名COPD患者的数据进行了大量RNA测序,以区分COPD特征。然后对来自三个数据集(GSE167295、GSE173896和GSE227691)的7名轻度患者、7名中度患者和3名重度患者的样本进行单细胞RNA分析,以分析疾病进展。最后,对来自一个数据集(GSE171524)的7名健康个体和20名COVID-19患者的数据进行单核RNA分析,比较两种情况。结果:大量RNA测序显示COPD患者炎症通路增强,表明炎症增加。单细胞RNA测序显示,轻度至中度COPD的炎症反应较强,中度至重度COPD的炎症反应较弱。COVID-19表现出与中度COPD相似的生物学模式,表明COPD分期分析可以加强COVID-19的管理。结论:分析发现,免疫反应从轻度到中度增加,但在重症病例中下降,以肺T细胞活化减少为特征。中度慢性阻塞性肺病和COVID-19之间的重叠表明有共同的治疗策略,值得进一步研究。
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 求助全文
来源期刊
Yonsei Medical Journal
Yonsei Medical Journal 医学-医学:内科
CiteScore
4.50
自引率
0.00%
发文量
167
审稿时长
3 months
期刊介绍: The goal of the Yonsei Medical Journal (YMJ) is to publish high quality manuscripts dedicated to clinical or basic research. Any authors affiliated with an accredited biomedical institution may submit manuscripts of original articles, review articles, case reports, brief communications, and letters to the Editor.
×
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