ArticleEvidence-based complementary and alternative medicine : eCAM2020
Study on Medication Rules of Traditional Chinese Medicine against Antineoplastic Drug-Induced Cardiotoxicity Based on Network Pharmacology and Data Mining.
Article in Evidence-based complementary and alternative medicine : eCAM, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Traditional Chinese medicine-induced cardiac adverse reactions: a critical review of current evidence, knowledge gaps, and pharmacovigilance strategies.Frontiers in pharmacology · 2026Review
- Traditional Chinese medicine as a protective strategy against chemotherapy-induced cardiotoxicity: An overview of the literature.Journal of traditional and complementary medicine · 2025Review
- Pathway-based network medicine identifies novel natural products for Alzheimer's disease.Alzheimer's research & therapy · 2025Article
- Screening of Anti-Hair Loss Plant Raw Materials Based on Reverse Network Pharmacology and Experimental Validation.Current issues in molecular biology · 2025Article
- Exploration of compatibility rules and discovery of active ingredients in TCM formulas by network pharmacology.Chinese herbal medicines · 2024Review
- miR-320b, a Future Expected New Biomarker for Type 2 Diabetes Mellitus Induces Dysglycemia by Targeting PTEN.International journal of endocrinology · 2024Article
- Joint exploration of network pharmacology and metabolomics on the effects of traditional Chinese medicine compounds in weaned yaks.Frontiers in veterinary science · 2024Article
- A systematic study on the treatment of hepatitis B-related hepatocellular carcinoma with drugs based on bioinformatics and key target reverse network pharmacology and experimental verification.Infectious agents and cancer · 2023Article
- Medication Rules in Herbal Medicine for Mild Cognitive Impairment: A Network Pharmacology and Data Mining Study.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- A systematic study of traditional Chinese medicine treating hepatitis B virus-related hepatocellular carcinoma based on target-driven reverse network pharmacology.Frontiers in cellular and infection microbiology · 2022Article
- Potential Targets and Action Mechanism of Gastrodin in the Treatment of Attention-Deficit/Hyperactivity Disorder: Bioinformatics and Network Pharmacology Analysis.Evidence-based complementary and alternative medicine : eCAM · 2022Article
- Network Toxicology Guided Mechanism Study on the Association between Thyroid Function and Exposures to Polychlorinated Biphenyls Mixture.BioMed research international · 2022Article
- Anxiolytic effect of YangshenDingzhi granules: Integrated network pharmacology and hippocampal metabolomics.Frontiers in pharmacology · 2022Article
- Machine learning links different gene patterns of viral infection to immunosuppression and immune-related biomarkers in severe burns.Frontiers in immunology · 2022Article
- To Predict Anti-Inflammatory and Immunomodulatory Targets of Guizhi Decoction in Treating Asthma Based on Network Pharmacology, Molecular Docking, and Experimental Validation.Evidence-based complementary and alternative medicine : eCAM · 2021Article
- Detection of Herbal Combinations and Pharmacological Mechanisms of Clinical Prescriptions for Coronary Heart Disease Using Data Mining and Network Pharmacology.Evidence-based complementary and alternative medicine : eCAM · 2021Review
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
methodsThe targets of antineoplastic drugs with cardiotoxicity were obtained from the National Center for Biotechnology Information (NCBI) database, China national knowledge infrastructure (CNKI) database, and Swiss Target Prediction platform. Then, the cardiotoxicity-related targets were derived from the Gene Cards, Disgenet, OMIM, and DrugBank databases, as well as the drug of current clinical guidelines. The targets both in these two sets were regarded as potential targets to alleviate ADIC. Then, candidate compounds and herbs were matched via Traditional Chinese Medicine Systems Pharmacology (TCMSP) platform. Cytoscape3.7.1 was used to set up the target-compound-herb network. Molecular docking between core targets and compounds was performed with AutodockVina1.1.2. The rules of herbs were summarized by analyzing their property, flavor, and channel tropism.
resultsTwenty-one potential targets, 332 candidate compounds, and 400 kinds of herbs were obtained. Five core targets including potassium voltage-gated channel subfamily H member 2 (KCNH2), cyclin-dependent kinase 1 (CDK1), matrix metalloproteinase 2 (MMP2), mitogen-activated protein kinase1 (MAPK1), and tumor protein p53 (TP53) and 29 core compounds (beta-sitosterol, quercetin, kaempferol, etc.) were collected. Five core herbs (Yanhusuo, Gouteng, Huangbai, Lianqiao, and Gancao) were identified. Also, the TCM against ADIC were mainly bitter and acrid in taste, warm in property, and distributed to the liver and lung meridians.
conclusionTCM against ADIC has great potential. Our study provides a new method and ideas for clinical applications of integrated Chinese and western medicine in treating ADIC.
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Registered trials
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