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Updated: Oct 24, 2025
A Doxorubicin-Induced Murine Model of Dilated Cardiomyopathy In Vivo
Published on: May 16, 2020
Integrated Transcriptomics and Reverse Pharmacophore Mapping-based Network Pharmacology to Explore the Mechanisms of
Junfeng Zhu1, Xiaojiao Yi2, Haiying Ding1
1Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital), Institute of Basic Medicine and Cancer (IBMC), Chinese Academy of Sciences, Hangzhou 310022, P.R. China.
Background:
Doxorubicin-Induced Cardiotoxicity (DIC) has greatly limited the clinical benefits of this frontline drug in oncotherapy. Drug combination with Natural Compounds (NCs) that possess potency against DIC is considered as a promising intervention strategy. However, the Mechanisms of Action (MoAs) underlying such drug interactions remain poorly understood. The aim of this study was to systematically pursuit of the molecular mechanisms of NCs against DIC.
Methods:
First, the gene expression signatures of DIC were characterized from transcriptomics datasets with doxorubicin-treated and untreated cardiomyocytes using differentially expressed gene identification, functional enrichment analysis, and protein-protein interaction network analysis. Secondly, reverse pharmacophore mapping-based network pharmacology was employed to illustrate the MoAs of 82 publicly reported NCs with anti-DIC potency. Cluster analysis based on their enriched pathways was performed to gain systematic insights into the anti-DIC mechanisms of the NCs. Finally, the typical compounds were validated using Gene Set Enrichment Analysis (GSEA) of the relevant gene expression profiles from a public gene expression database.
Results:
Based on their anti-DIC MoAs, the 82 NCs could be divided into four groups, which corresponded to ten MoA clusters. GSEA and literature evidence on these compounds were provided to validate the MoAs identified through this bioinformatics analysis. The results suggested that NCs exerted potency against DIC through both common and different MoAs.
Conclusion:
This strategy integrating different types of bioinformatics approaches is expected to create new insights for elucidating the MoAs of NCs against DIC.
Insights
Natural compounds (NCs) show promise in combating Doxorubicin-Induced Cardiotoxicity (DIC). This study elucidates their molecular mechanisms of action (MoAs) using bioinformatics, revealing diverse pathways for potential therapeutic strategies.
Area of Science:
- Biochemistry and Molecular Biology
- Pharmacology
- Bioinformatics
Background:
- Doxorubicin-Induced Cardiotoxicity (DIC) limits the use of doxorubicin, a key chemotherapy drug.
- Natural Compounds (NCs) offer potential in mitigating DIC, but their mechanisms are unclear.
- Understanding NCs' anti-DIC mechanisms is crucial for developing combination therapies.
Purpose of the Study:
- To systematically investigate the molecular mechanisms of Natural Compounds (NCs) against Doxorubicin-Induced Cardiotoxicity (DIC).
- To identify and categorize the diverse Mechanisms of Action (MoAs) of NCs with anti-DIC potency.
Main Methods:
- Characterized DIC gene expression signatures using transcriptomics and network analysis.
- Employed network pharmacology and reverse pharmacophore mapping for 82 NCs.
- Utilized cluster analysis and Gene Set Enrichment Analysis (GSEA) for MoA validation.
Main Results:
- Identified ten distinct MoA clusters for 82 NCs based on their anti-DIC effects.
- Demonstrated that NCs act through both shared and unique mechanisms against DIC.
- Validated identified MoAs using GSEA and existing literature evidence.
Conclusions:
- Bioinformatics approaches provide novel insights into NCs' anti-DIC MoAs.
- This integrated strategy aids in understanding complex drug interactions in oncotherapy.
- Findings pave the way for developing effective combination treatments to reduce cardiotoxicity.
