Affiliation:
1. Laboratory of Molecular Pharmacology, Jilin Provincial Key Laboratory of Biomacromolecules of Chinese Medicine,
Jilin Ginseng Academy, Changchun University of Chinese Medicine, Changchun 130117, Jilin, China
Abstract
Background and Objective:
To explore the molecular mechanism by which Shengmaiyin
(Codonopsis pilosula) (SMY) improves isoproterenol (ISO)-induced heart failure (HF) in rats
via a traditional Chinese medicine (TCM) integrated pharmacology research platform, The Chinese
Medicine Integrated Pharmacology Platform (TCMIP V2.0).
Method::
The chemical constituents and drug targets of SMY medicines were identified through
TCMIP, and HF disease target information was collected. A prescription Chinese medicinecomponent-
core target network was constructed through the TCM network mining module, and biological
process and pathway enrichment analyses of core targets were conducted. In vivo experiments
in rats were performed to verify the pathway targets. Hematoxylin and eosin staining was
used to observe myocardial tissue morphology. ELISA kits were used to detect cAMP content, and
Western blotting was used to detect the expression levels of signaling pathway-related proteins.
Results:
The TCMIP analysis indicated that SMY treatment of HF activates the GS-β-adrenergic
receptor (βAR)-cAMP-protein kinase A (PKA) signaling pathway. The in vivo experimental results
confirmed this finding. High-dose SMY significantly improved the morphology of ISO-injured
myocardium. The levels of G-protein-coupled receptor (GPCR), adenylate cyclase (AC), βAR, and
PKA proteins in myocardial tissue were significantly increased in the SMY group. In addition, the
content of cAMP in myocardial tissue was increased, and the content of cAMP in serum was decreased.
Conclusion:
Based on the analysis of TCMIP, SMY treatment of HF may activate the GS-βARcAMP-
PKA signaling pathway. The findings provide a theoretical basis for further research on the
anti-HF mechanism of SMY.
Publisher
Bentham Science Publishers Ltd.
Subject
Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine
Cited by
4 articles.
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