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

IF 2.2 3区 化学 Q3 CHEMISTRY, ANALYTICAL
Journal of Analytical Methods in Chemistry Pub Date : 2026-03-01 eCollection Date: 2026-01-01 DOI:10.1155/jamc/2885034
Dan Yang, Dan He, Yiwu Wang, Yuan Shen, Jialing Yu, Ruijia Yang, Lin Yang
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引用次数: 0

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.

利用HS-GC-MS、化学计量学和网络药理学研究合合花的潜在抗抑郁活性成分。
合奏花(Albiziae Flos, AF)是一种具有悠久历史的中药。本研究采用顶空-气相色谱-质谱(HS-GC-MS)、化学计量学和网络药理学相结合的方法,对AF的挥发性成分进行综合评价,并探讨其潜在的抗抑郁机制。通过HS-GC-MS分析共鉴定出34种挥发性化合物。指纹图谱分析结果显示,16个批次的样品具有较高的一致性(相似度为0.790 ~ 0.998),化学计量学分析能够成功区分不同产地的样品。网络药理学筛选鉴定出15种有效成分和131种潜在靶点,揭示了房颤抗抑郁作用的多组分、多靶点特征。分子对接模拟表明,芳樟醇氧化物构型与12个核心靶点之间具有很强的结合亲和力,主要是通过氢键和疏水相互作用。这项工作在于使用综合分析药理学方法对房颤挥发性成分进行全面调查,为抗抑郁药物开发提供质量评估和机制见解的方法学框架。我们的研究结果为房颤的质量控制奠定了科学基础,并揭示了其通过多种途径潜在的抗抑郁机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Analytical Methods in Chemistry
Journal of Analytical Methods in Chemistry CHEMISTRY, ANALYTICAL-ENGINEERING, CIVIL
CiteScore
4.80
自引率
3.80%
发文量
79
审稿时长
6-12 weeks
期刊介绍: Journal of Analytical Methods in Chemistry publishes papers reporting methods and instrumentation for chemical analysis, and their application to real-world problems. Articles may be either practical or theoretical. Subject areas include (but are by no means limited to): Separation Spectroscopy Mass spectrometry Chromatography Analytical Sample Preparation Electrochemical analysis Hyphenated techniques Data processing As well as original research, Journal of Analytical Methods in Chemistry also publishes focused review articles that examine the state of the art, identify emerging trends, and suggest future directions for developing fields.
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