Journal article
Dissection of Pharmacological Mechanism of Chinese Herbal Medicine Yihuo Huatan Formula on Chronic Obstructive Pulmonary Disease: A Systems Pharmacology-Based Study
- Abstract:
- AbstractChronic obstructive pulmonary disease (COPD) is one of the most common respiratory diseases. Yihuo Huatan Formula (YHF), as a proven Chinese Herbal Medicine (CHM), has been verified to be effective in the treatment of stable COPD through years’ of practice. Nevertheless, its working mechanism is still unclear. We sought to systematically decipher the mechanism of YHF for treating stable COPD using systems pharmacology-based method that integrates pharmacokinetic screening, target prediction, network analyses, GO and KEGG enrichment analyses. Firstly, a total of 1267 chemicals out of 15 herbal components were included in YHF chemical database. Among them, 180 potential active molecules were screened out through pharmacokinetic evaluation. Then 258 targets of the active molecules were predicted, of which 84 were chosen for further analyses. Finally, the network analyses and GO and KEGG enrichment methods suggested a therapeutic effect of YHF on the alleviation of airway inflammation, decrease of mucus secretion, maintenance of immune homeostasis and benefit of COPD comorbidities, by regulating multiple targets and pathways. The systems pharmacology-based approach helps to understand the underlying working mechanism of YHF in stable COPD from a holistic perspective, and offers an exemplification for systematically uncovering the action mechanisms of CHM.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 9.2MB, Terms of use)
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- Publisher copy:
- 10.1038/s41598-019-50064-9
Authors
- Publisher:
- Nature Research
- Journal:
- Scientific Reports More from this journal
- Volume:
- 9
- Issue:
- 1
- Pages:
- 13431-13431
- Publication date:
- 2019-09-17
- DOI:
- EISSN:
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2045-2322
- ISSN:
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2045-2322
- Language:
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English
- Keywords:
-
- Pubs id:
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2372467
- Local pid:
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pubs:2372467
- Source identifiers:
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W2974494943
- Deposit date:
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2026-02-17
- ARK identifier:
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Terms of use
- Copyright date:
- 2019
- Licence:
- CC Attribution (CC BY)
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