数字中医药（英文）2020，Vol.3Issue(3)：213-221,9.DOI:10.1016/j.dcmed.2020.09.007
夏枯草油治疗盆腔炎的代谢组学研究
A Metabolomics Study of the Volatile Oil from Prunella vulgaris L. on Pelvic Inflammatory Disease
摘要
Abstract
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 chromatography-mass 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-hydroxy-phenylacetic 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.关键词
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Key words
Pelvic inflammatory disease(PID)/Metabolomics method/Gas chromatography-mass spectrometry(GC-MS)/Prunella vulgaris L. oil/Random forests引用本文复制引用
邓静,粟倩,林秀莲,林艳,李亚梅,林丽美,廖端芳,夏伯候..夏枯草油治疗盆腔炎的代谢组学研究[J].数字中医药（英文）,2020,3(3):213-221,9.基金项目
We thank for the funding support from the National Natural Science Foundation of China (No. 81503041), Natural Science Foundation of Hunan Province (No. 2017JJ4045) and Changsha Science and Technology Project (No. kq1701073). （No. 81503041）
