天然产物研究与开发 ›› 2026, Vol. 38 ›› Issue (4): 685-700.doi: 10.16333/j.1001-6880.2026.4.001 cstr: 32307.14.1001-6880.2026.4.001

• 研究论文 •    下一篇

基于HS-SPME-GC-MS与生物信息学研究柴胡、桂枝挥发性成分治疗抑郁症的潜在作用机制

郭  磊,周玉静,戴全武,葛  君,张心一,成  立,刘  毅*   

  1. 湖北中医药大学湖北省药用植物研发中心,武汉 430065
  • 出版日期:2026-04-27 发布日期:2026-04-24
  • 基金资助:
    湖北省自然科学基金(2023AFD155)

Potential mechanism of volatile components from Bupleuri Radix-Cinnamomi Ramulus in treating depression based on HS-SPME-GC-MS and bioinformatics

GUO Lei,ZHOU Yu-jing,DAI Quan-wu,GE Jun,ZHANG Xin-yi,CHENG Li,LIU Yi*   

  1. Hubei University of Traditional Chinese Medicine,Medicinal Plant Research and Development Center of Hubei Province,Wuhan 430065,China
  • Online:2026-04-27 Published:2026-04-24

摘要: 探究柴胡、桂枝配伍前后挥发性成分的改变及药对挥发性成分治疗抑郁症的潜在作用机制。采用顶空固相微萃取与气相色谱-质谱联用(HS-SPME-GC-MS)技术鉴定药对与单味药的挥发性成分并基于相对峰面积筛选药对的主要挥发性成分。随后,结合生物信息学和实验验证筛选药对挥发性成分治疗抑郁症的关键靶点和可能的作用机制。结果显示柴胡、桂枝及药对分别鉴定出55、31和43个挥发性成分,各占总挥发性成分含量的93.02%、89.36%和96.87%。其中挥发性成分以萜烯类和苯丙素类为主,并且相比于单味药挥发性成分,药对的挥发性成分在烯类、醛类和醚类上发生较大改变,新增的6,7-二羟基香豆素与β-红没药烯等成分具有明确的抗抑郁潜力,具有基因毒性和致癌性的4-烯丙基苯甲醚等有害成分含量显著降低。主成分分析同样显示单味药与药对挥发性成分具有显著差异,药对综合得分最高暗示了配伍的合理与高效。此外,生物信息学分析与实验验证发现,药对挥发性成分能够有效降低抑郁小鼠外周血中组织蛋白酶S(cathepsin S,CTSS)、3-羟基-3-甲基戊二酰辅酶A还原酶(3-hydroxy-3-methylglutaryl-coa reductase,HMGCR)和核因子κB亚基p65(p65 subunit of NF-κB,RELA)3个核心基因的升高,并改善小鼠抑郁样行为。综上,从挥发性成分变化出发,柴胡和桂枝配伍后具有一定减毒增效的作用,药对挥发性成分能有效改善小鼠抑郁行为,其机制可能与调控核心基因的表达间接影响炎症通路相关。

关键词: 柴胡, 桂枝, 抑郁症, 顶空固相微萃取法, 气相色谱-质谱联用, 生物信息学

Abstract:

Comparative analysis of volatile components in the Bupleuri Radix and Cinnamomi Ramulus herb pair and their potential mechanism in depression treatment.Volatile constituents from the individual herbs (Bupleuri Radix,Cinnamomi Ramulus) and their herb pair were analyzed and compared using headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS).Key components in the herb pair were identified based on relative peak area.Subsequently,an integrated approach combining bioinformatics analysis and experimental validation was employed to screen the critical targets and potential mechanisms underlying the antidepressant activity of these volatile components.The results demonstrated that 55,31,and 43 volatile compounds were identified in Bupleuri Radix,Cinnamomi Ramulus,and the herb pair,accounting for 93.02%,89.36%,and 96.87% of the total volatile content,respectively.The volatile profile was predominantly composed of terpenes and phenylpropanoids.Comparative analysis revealed substantial alterations in the levels of alkenes,aldehydes,and ethers in the herb pair compared to the individual herbs.Notably,new constituents such as 6,7-dihydroxycoumarin and β-bisabolene,which possess documented antidepressant potential,were detected in the herb pair.Conversely,the content of harmful components like 4-allylanisole,known for its genotoxicity and carcinogenicity,was significantly reduced.Principal component analysis further confirmed a distinct separation between the volatile profiles of the single herbs and the herb pair,with the herb pair exhibiting the highest composite score,indicating a rational and synergistic combination.Furthermore,integrated bioinformatic analysis and experimental validation revealed that the volatile constituents from the herb pair effectively suppressed the elevated expression of three core genes—cathepsin S (CTSS),3-hydroxy-3-methylglutaryl-coa reductase (HMGCR),and p65 subunit of NF-κB (RELA)—in the peripheral blood of depressed mice.Concurrently,treatment with these volatiles ameliorated depression-like behaviors in the mouse model.In conclusion,building upon the observed changes in volatile composition,the combination of Bupleuri Radix and Cinnamomi Ramulus demonstrates an effect of "reducing toxicity and enhancing efficacy".The volatile constituents from the herb pair effectively alleviate depressive-like behaviors in mice,potentially through a mechanism involving the modulation of core gene expression,which may indirectly influence associated inflammatory pathways.

Key words: Bupleuri Radix, Cinnamomi Ramulus, depression, headspace solid-phase microextraction, gas chromatography-mass spectrometry, bioinformatics

中图分类号:  R917 R965