ArticleFrontiers in pharmacology2020
A Novel Strategy for Decoding and Validating the Combination Principles of Huanglian Jiedu Decoction From Multi-Scale Perspective.
Article in Frontiers in pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 25 citations in OpenAlex.
- Integrated UPLC-MS/MS profiling and network pharmacology-based analysis of the anti-hyperglycemic potential of Baihu Jia Renshen Decoction combined with Sanghuangporus vaninii extract in mice.Journal of molecular histology · 2026Article
- Traditional Chinese medicine ingredients integrated microneedles: A promising strategy for transdermal treatment.Asian journal of pharmaceutical sciences · 2026Review
- Cancer cachexia as an immunometabolic syndrome: targeting the immunometabolic interface with traditional Chinese Medicine monomers and formulas.Frontiers in immunology · 2026Review
- Investigating the potential anti-cancer mechanism for thyroid cancer: Role of Herba Epimedii via network pharmacology approach.Journal, genetic engineering & biotechnology · 2025Article
- Active metabolites combination therapies: towards the next paradigm for more efficient and more scientific Chinese medicine.Frontiers in pharmacology · 2024Review
- An Integrative Pharmacology-Based Strategy to Uncover the Mechanism of Zuogui Jiangtang Shuxin Formula in Diabetic Cardiomyopathy.Drug design, development and therapy · 2023Article
- Exploration of the effect of Celastrol on protein targets in nasopharyngeal carcinoma: Network pharmacology, molecular docking and experimental evaluations.Frontiers in pharmacology · 2022Article
- An Integrative Pharmacology Model for Decoding the Underlying Therapeutic Mechanisms of Ermiao Powder for Rheumatoid Arthritis.Frontiers in pharmacology · 2022Article
- Uncovering Hidden Mechanisms of Different Prescriptions Treatment for OsteoporosisFrontiers in cell and developmental biology · 2022Article
- Elucidating the Synergistic Effect of Multiple Chinese Herbal Prescriptions in the Treatment of Post-stroke Neurological Damage.Frontiers in pharmacology · 2022Article
- Analysis of Molecular Mechanism of Erxian Decoction in Treating Osteoporosis Based on Formula Optimization Model.Oxidative medicine and cellular longevity · 2021Article
- Integrated Pharmacogenetics Analysis of the Three Fangjis Decoctions for Treating Arrhythmias Based on Molecular Network Patterns.Frontiers in cardiovascular medicine · 2021Article
- Computational Network Pharmacology-Based Strategy to Capture Key Functional Components and Decode the Mechanism of Chai-Hu-Shu-Gan-San in Treating Depression.Frontiers in pharmacology · 2021Article
- Study on the Molecular Basis of Huanglian Jiedu Decoction Against Atopic Dermatitis Integrating Chemistry, Biochemistry, and Metabolomics Strategies.Frontiers in pharmacology · 2021Article
Corrections and comments
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Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional Chinese medicine (TCM) formulas treat complex diseases through combined botanical drugs which follow specific compatibility rules to reduce toxicity and increase efficiency. "Jun, Chen, Zuo and Shi" is one of most used compatibility rules in the combination of botanical drugs. However, due to the deficiency of traditional research methods, the quantified theoretical basis of herbal compatibility including principles of "Jun, Chen, Zuo and Shi" are still unclear. Network pharmacology is a new strategy based on system biology and multi-disciplines, which can systematically and comprehensively observe the intervention of drugs on disease networks, and is especially suitable for the research of TCM in the treatment of complex diseases. In this study, we systematically decoded the "Jun, Chen, Zuo and Shi" rules of Huanglian Jiedu Decoction (HJD) in the treatment of diseases for the first time. This interpretation method considered three levels of data. The data in the first level mainly depicts the characteristics of each component in single botanical drug of HJD, include the physical and chemical properties of component, ADME properties and functional enrichment analysis of component targets. The second level data is the characterization of component-target-protein (C-T-P) network in the whole protein-protein interaction (PPI) network, mainly include the characterization of degree and key communities in C-T-P network. The third level data is the characterization of intervention propagation properties of HJD in the treatment of different complex diseases, mainly include target coverage of pathogenic genes and propagation coefficient of intervention effect between target proteins and pathogenic genes. Finally, our method was validated by metabolic data, which could be used to detect the components absorbed into blood. This research shows the scientific basis of "Jun-Chen-Zuo-Shi" from a multi-dimensional perspective, and provides a good methodological reference for the subsequent interpretation of key components and speculation mechanism of the formula.
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