Pharmacological Mechanism of Danggui-Sini Formula for Intervertebral Disc Degeneration: A Network Pharmacology Study.

Background. Intervertebral disc degeneration (IVDD) is the most significant cause of low back pain, the sixth-largest disease burden globally, and the leading cause of disability. This study is aimed at investigating the molecular biological mechanism of Danggui-Sini formula (DSF) mediated IVDD trea...

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Publicado en:BioMed Research International pp. 1 - 13
Autores principales: Wang, Longjie, Lin, Jialiang, Li, Weishi
Formato: pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell 11/11/2021
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 11/11/2021
      pid: 480
      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        153551340
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        10.1155/2021/5165075
        153551340
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        atl: Pharmacological Mechanism of Danggui-Sini Formula for Intervertebral Disc Degeneration: A Network Pharmacology Study.
      aug:
        au:
          Wang, Longjie
          Lin, Jialiang
          Li, Weishi
        affil: Peking University Third Hospital, Department of Orthopaedics, Beijing, China
      sug:
        subj:
          Dong Quai Pharmacodynamics
          Intervertebral Disk Pathology
          Spinal Diseases Drug Therapy
          Network Pharmacology
          Molecular Docking Simulation
          Human
          Molecular Structure
          Signal Transduction
          Tumor Necrosis Factor
          Vascular Endothelial Growth Factors
          Interleukins
          Apoptosis
          Oxidative Stress
          Drugs, Chinese Herbal
          Plant Extracts
          Reactive Oxygen Species
          Treatment Outcomes
      ab: Background. Intervertebral disc degeneration (IVDD) is the most significant cause of low back pain, the sixth-largest disease burden globally, and the leading cause of disability. This study is aimed at investigating the molecular biological mechanism of Danggui-Sini formula (DSF) mediated IVDD treatment. Methods. A potential gene set for DSF treatment of IVDD was identified through TCMSP, UniProt, and five disease gene databases. A protein interaction network of common targets between DSF and IVDD was established by using the STRING database. GO and KEGG enrichment analyses were performed using the R platform to discover the potential mechanism. Moreover, AutoDock Vina was used to verify molecular docking and calculate the binding energy. Results. A total of 119 active ingredients and 136 common genes were identified, including 10 core genes (AKT1, IL6, ALB, TNF, VEGFA, TP53, MAPK3, CASP3, JUN, and EGF). Enrichment analysis results showed that the therapeutic targets of DSF for diseases mainly focused on the AGE-RAGE signaling pathway involved in diabetic complications, IL-17 signaling pathway, TNF signaling pathway, Toll-like receptor signaling pathway, apoptosis, cellular senescence, PI3K-Akt signaling pathway, and FoxO signaling pathway. These biological processes are induced mainly in response to oxidative stress and reactive oxygen species and the regulation of apoptotic signaling pathways. Molecular docking showed that there was a stable affinity between the core genes and the key components. Conclusions. The combination of network pharmacology and molecular docking provides a practical way to analyze the molecular biological mechanism of DSF-mediated IVDD treatment, which confirms the "multicomponent, multitarget and multipathway" characteristics of DSF and provides an essential theoretical basis for clinical practice.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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