
Thoracic obstruction is mainly attributed to the scope of coronary heart disease in modern medicine, and traditional Chinese medicine(TCM) shows a significant effect in the treatment of thoracic obstruction. In this research, a network pharmacology method was carried out to systemically study the underlying mechanism of the core herbal compatibility in TCM on the thoracic obstruction. First, we collected the literature about TCM prescriptions for treating thoracic obstruction from CNKI. Then, a prescription database was establish by TCM inheritance support platform system(V2.5) to determine the medication rules and core herbal compatibility in TCM. Finally, to obtain the potential signaling pathways, KEGG pathway analysis was performed by BATMAN-TCM online analysis tool. Results showed that the potential signal pathway of core herbal compatibility in TCM for the clinical treatment of thoracic obstruction was calcium ion and cGMP-PKG signaling pathway. This study provided a new research strategy for the study of the medication rules and mechanism of traditional Chinese medicine in the treatment of thoracic obstruction.
Humans, Coronary Disease, Medicine, Chinese Traditional
Humans, Coronary Disease, Medicine, Chinese Traditional
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
