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March 5, 20260 citationsOpen Access

Exploration of Potential Antidepressant Active Ingredients of Albiziae Flos via HS-GC-MS, Chemometrics, and Network Pharmacology.

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DYDan YangDHDan HeYWYiwu Wang

Key Points

  • The study aims to evaluate the antidepressant potential of volatile components in Albiziae Flos.
  • Used headspace-gas chromatography-mass spectrometry (HS-GC-MS) to identify volatile compounds.
  • Performed chemometric analysis for sample discrimination based on geographical origins.
  • Employed network pharmacology to identify active components and potential targets.
  • Conducted molecular docking simulations to assess binding affinities.
  • Identified 34 volatile compounds in Albiziae Flos.
  • Achieved high consistency among 16 batches with similarity scores of 0.790-0.998.
  • Discovered 15 active components and 131 potential targets related to antidepressant effects.
  • Showed strong binding affinity between linalool oxide and 12 core targets via molecular docking.

Abstract

Albiziae Flos (AF) is a traditional Chinese medicine with an extensive historical background. This study presented an integrated approach combining headspace-gas chromatography-mass spectrometry (HS-GC-MS), chemometrics, and network pharmacology to comprehensively evaluate the volatile components of AF and explore their potential antidepressant mechanisms. A total of 34 volatile compounds were identified through HS-GC-MS analysis. Fingerprint assessment revealed high consistency among 16 batches (similarity: 0.790-0.998), while chemometric analysis successfully discriminated samples from different geographical origins. Network pharmacology screening identified 15 active components and 131 potential targets, revealing multicomponent, multitarget characteristics of AF's antidepressant effects. Molecular docking simulations demonstrated strong binding affinity between linalool oxide configurations and 12 core targets, primarily through hydrogen bonding and hydrophobic interactions. This work lies in its comprehensive investigation of AF's volatile components using an integrated analytical-pharmacological approach, providing both a methodological framework for quality assessment and mechanistic insights for antidepressant drug development. Our findings established scientific foundations for quality control of AF and revealed its potential antidepressant mechanisms through multiple pathways.

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Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/69a91dedd6127c7a504c1368https://doi.org/10.1155/jamc/2885034
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