Lee Chae Min, Kim Andrew Sehoon, Kim Minki, Jeong Jae Woong, Jo Sugyeong, Hwang Nahee, Fang Sungsoon
Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Korea.
Department of Biomedical Sciences, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
Yonsei Med J. 2025 Jun;66(6):354-365. doi: 10.3349/ymj.2024.0227.
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.
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.
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.
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(COPD)的特征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从轻度到重度阶段进展的特征。此外,我们探讨了2019冠状病毒病(COVID-19)与COPD之间的相关性,以揭示重叠的呼吸模式。
对来自一个数据集(GSE239897)的43名健康个体和39名COPD患者的数据进行批量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,将单核RNA分析应用于来自一个数据集(GSE171524)的7名健康个体和20名COVID-19患者的数据,以比较这两种情况。
批量RNA测序显示COPD患者的炎症途径增强,表明炎症增加。单细胞RNA测序显示,从轻度到中度COPD炎症反应更强,从中度到重度阶段则下降。COVID-19表现出与中度COPD相似的生物学模式,表明特定阶段的COPD分析可以加强COVID-19的管理。
分析发现,免疫反应从轻度到中度阶段增加,但在重度病例中下降,以肺T细胞激活减少为特征。中度COPD和COVID-19之间的重叠表明存在共同的治疗策略,值得进一步研究。