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Network Pharmacology Prediction and Experimental Validation of Trichosanthes-Fritillaria thunbergii Action Mechanism Against Lung Adenocarcinoma
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Drug target identification using network analysis: Taking active components in Sini decoction as an example.

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Summary
This summary is machine-generated.

This study introduces network analysis to identify multiple molecular targets of traditional medicine components for heart failure treatment. Tumor necrosis factor alpha (TNF-α) was validated as a key target, showing therapeutic potential.

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Area of Science:

  • Pharmacology
  • Systems Biology
  • Computational Biology

Background:

  • Identifying molecular targets of complex traditional medicines like Sini Decoction (SND) for heart failure is challenging.
  • Network pharmacology and metabolomics offer integrated approaches to tackle this complexity.

Purpose of the Study:

  • To develop and apply a network analysis strategy to simultaneously identify molecular targets of active components in SND against heart failure.
  • To experimentally validate key identified targets at molecular and cellular levels.

Main Methods:

  • Predicted 48 active components in SND using serum pharmacochemistry, text mining, and similarity matching.
  • Employed network pharmacology (text mining, molecular docking) to identify potential targets.
  • Analyzed enriched pathways and diseases using STRING database.
  • Conducted network analysis to pinpoint key targets and experimentally validated tumor necrosis factor alpha (TNF-α).

Main Results:

  • Identified 25 potential targets through network analysis, with TNF-α being experimentally validated.
  • Demonstrated that SND components (hypaconitine, mesaconitine, higenamine, quercetin) directly bind to TNF-α.
  • Showed that these components reduce TNF-α-mediated cytotoxicity and inhibit myocardial cell apoptosis.

Conclusions:

  • Network analysis integrating network pharmacology and metabolomics is effective for simultaneous target identification of bioactive compounds.
  • TNF-α is a crucial molecular target for the cardioprotective effects of SND.
  • This approach holds promise for target identification in traditional medicine and drug discovery.