ArticleJournal of diabetes research2021
Potential Mechanisms of Triptolide against Diabetic Cardiomyopathy Based on Network Pharmacology Analysis and Molecular Docking.
Article in Journal of diabetes research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 11 citations in OpenAlex.
- Exploring the mechanisms of baicalin in diabetic cardiomyopathy: Insights from network pharmacology and experimental validation.Biomedical reports · 2026Article
- Acupoint-administered sinapine thiocyanate-loaded dissolvable microneedles for bronchial asthma: dose-response relationship and PI3K/AKT signaling pathway-based mechanism.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Chinese Herbal Medicines for Diabetic Cardio-Cerebrovascular Diseases: Key Bioactive Metabolites and Action Mechanisms.Journal of nutrition and metabolism · 2026Review
- Exploring the potential molecular targets and therapeutic mechanisms of Cyperi Rhizoma in treating diabetic cardiomyopathy: a computational approach.RSC advances · 2025Article
- Effects of Dapagliflozin on Myocardial Gene Expression in BTBR Mice with Type 2 Diabetes.Cardiovascular drugs and therapy · 2025Article
- Identification ofFrontiers in molecular biosciences · 2024Article
- Berberine alleviates myocardial diastolic dysfunction by modulating Drp1-mediated mitochondrial fission and CaFrontiers of medicine · 2023Article
- Molecular targets and mechanisms ofWorld journal of diabetes · 2023Article
- Exploring the immunomodulatory effects and mechanisms of Xinjiang fermented camel milk-derived bioactive peptides based on network pharmacology and molecular docking.Frontiers in pharmacology · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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Abstract
The incidence of heart failure was significantly increased in patients with diabetic cardiomyopathy (DCM). The therapeutic effect of triptolide on DCM has been reported, but the underlying mechanisms remain to be elucidated. This study is aimed at investigating the potential targets of triptolide as a therapeutic strategy for DCM using a network pharmacology approach. Triptolide and its targets were identified by the Traditional Chinese Medicine Systems Pharmacology database. DCM-associated protein targets were identified using the comparative toxicogenomics database and the GeneCards database. The networks of triptolide-target genes and DCM-associated target genes were created by Cytoscape. The common targets and enriched pathways were identified by the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. The gene-gene interaction network was analyzed by the GeneMANIA database. The drug-target-pathway network was constructed by Cytoscape. Six candidate protein targets were identified in both triptolide target network and DCM-associated network: STAT3, VEGFA, FOS, TNF, TP53, and TGFB1. The gene-gene interaction based on the targets of triptolide in DCM revealed the interaction of these targets. Additionally, five key targets that were linked to more than three genes were determined as crucial genes. The GO analysis identified 10 biological processes, 2 cellular components, and 10 molecular functions. The KEGG analysis identified 10 signaling pathways. The docking analysis showed that triptolide fits in the binding pockets of all six candidate targets. In conclusion, the present study explored the potential targets and signaling pathways of triptolide as a treatment for DCM. These results illustrate the mechanism of action of triptolide as an anti-DCM agent and contribute to a better understanding of triptolide as a transcriptional regulator of cytokine mRNA expression.
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