Integrating single-cell analysis and machine learning to identify COPD hub genes and explore the intervention mechanism of effective component compatibility of Bufei Yishen formula III

Bibliographic Data

ID14743306
AuthorsChunlei Liu (0000-0001-8816-4832, First Affiliated Hospital of Henan University), Yange Tian (0000-0002-5849-4504, First Affiliated Hospital of Henan University), Ruilong Lu (First Affiliated Hospital of Henan University), Yue Chen (0000-0001-9582-590X, First Affiliated Hospital of Henan University), Changyuan Yue, Yuan Xie (0000-0003-2093-1788, First Affiliated Hospital of Henan University), Tiantian Zhang (0000-0002-4327-7873, First Affiliated Hospital of Henan University), Jiansheng Li (0000-0002-3708-3677, First Affiliated Hospital of Henan University, corresponding author), Qingzhou Guan (0000-0001-7741-6440, First Affiliated Hospital of Henan University, corresponding author)
Year2025
Volume351
Pages120126
Publication date2025-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Ethnopharmacology (JOURNAL)
Journal identifiersISSN: 0378-8741 • E-ISSN: 1872-7573
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.jep.2025.120126
PMID40505755
OpenAlexW4411189490
LanguageEN
References cited62

Four hub genes (CD74, SOX4, AQP1, and ANXA1) involved in the pathogenesis of endothelial cells in COPD were identified. ECC-BYF III was shown to modulate their expression, supporting its potential as a therapeutic agent in traditional Chinese medicine (TCM) for COPD. These findings offer novel insights into the mechanisms of COPD and open avenues for TCM treatment

Biology · Compatibility (geochemistry · Component (thermodynamics · Computational biology · Mechanism (biology · Physics · Computer Science · Engineering · Ginseng Biological Effects and Applications · Medicine · Metabolomics and Mass Spectrometry Studies · Traditional Chinese Medicine Analysis