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A Metabolomics Study of the Volatile Oil from Prunella vulgaris L.on Pelvic Inflammatory Disease 被引量:1

夏枯草油治疗盆腔炎的代谢组学研究
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摘要 Objective Pelvic inflammatory disease(PID)is one of the most common gynaecological diseases.Here,this thesis aims to investigate the therapeutic effects of Prunella vulgaris L.oil on the PID by using metabolomics based on gas chromatographymass spectrometry(GC-MS)to address this challenge.Methods First,measurements of pro-inflammatory cytokines and histological analysis of the uterus were conducted to validate the successful generation of a PID rat model.Furthermore,the volatile oil from Prunella vulgaris L.was administered to treat PID rats.Serum samples were collected before and after treatment and analyzed by GC-MS to generate metabolite profiles for each sample.The information generated from the qualitative and quantitative analysis of these metabolites was applied to distinguish between the PID model and normal control groups.Results Some metabolites,such as acetic acid,succinic acid,glyceric acid,(R*,S*)-3,4-dihydroxybutanoic acid,3-hydroxyphenylacetic acid,D-ribose and myo-inositol showed a higher contribution in the classification model;thus,they can be considered as potential biomarkers.Furthermore,the therapeutic effect of the volatile oil extracted from Prunella vulgaris L.could also be visualized using GC-MS-based metabolomics.Conclusions The results show that metabolomics studies are invaluable for disease diagnosis and therapeutic effect estimation. 目的盆腔炎(PID)是妇科最常见的疾病之一,本文基于气相色谱−质谱(GC-MS)的代谢组学研究夏枯草挥发油对盆腔炎的治疗作用。方法首先,通过测定促炎细胞因子和子宫组织学分析对建立的PID大鼠模型进行验证,并利用夏枯草挥发油提取物对模型大鼠进行治疗,收集血清样本并采用气相色谱−质谱联用分析方法对样品的代谢组学信息进行分析。通过对这些代谢物的定性和定量分析生成的信息可用于区分PID模型组和正常对照组。结果研究发现一些代谢物如乙酸、琥珀酸、甘油酸、(R*,S*)-3,4-二羟基丁酸、3-羟基苯乙酸、D-核糖、肌醇等在分类模型中有较高的贡献,可以作为潜在的生物标志物。另外,我们提出的基于GC-MS的代谢组学方法直观地展示了夏枯草挥发油提取物对PID的治疗效果。结论代谢组学研究是一种可选用的疾病诊断和疗效评价方法。
作者 DENG Jing SU Qian LIN Xiu-Lian LIN Yan LI Ya-Mei LIN Li-Mei LIAO Duan-Fang XIA Bo-Hou 邓静;粟倩;林秀莲;林艳;李亚梅;林丽美;廖端芳;夏伯候(湖南中医药大学湖南省药材质量评价重点实验室,湖南长沙410208)
出处 《Digital Chinese Medicine》 2020年第3期213-221,共9页 数字中医药(英文)
基金 We thank for the funding support from the National Natural Science Foundation of China(No.81503041) Natural Science Foundation of Hunan Province(No.2017JJ4045) Changsha Science and Technology Project(No.kq1701073).
关键词 Pelvic inflammatory disease(PID) Metabolomics method Gas chromatography-mass spectrometry(GCMS) Prunella vulgaris L.oil Random forests 盆腔炎 代谢组学方法 气相色谱-质谱 夏枯草挥发油 随机森林算法
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