Ni Hui, Hou Jinjun, Zhang Linlin, Wu Xingdong, Wu Wenyong, Yin Haoran, Zhang Zijia, Long Huali, Lei Min, Wu Wanying, Guo De-An
School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, P. R. China.
Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, P. R. China.
J Sep Sci. 2023 Apr;46(8):e2200792. doi: 10.1002/jssc.202200792. Epub 2023 Apr 7.
The processing of Traditional Chinese Medicine requires the appropriate parameters, while the specific chemical markers are still absent to obtain the optimized processing. In this study, we used vinegar-baked Euphorbia kansui as a case to dissect the chemical markers for the baking process using untargeted metabolomics. The robust chemical markers were selected based on the three rules, correlation, significant difference, and controllability. All the differential features were categorized based on their mass defects. After the differential analysis, 310 differential compounds were screened out and could be mainly divided into six categories: diacylglycerols and triacylglycerols demonstrated increasing trends with the baking time in the discriminant model, while ingenane-type diterpenes, jatrophane-type diterpenes, fatty acid esters, and fatty acids had decreasing trends. It was unexpected to find that the diterpenes did not correlate with the baking time. Only very few compounds meet the three rules. They were validated with a high-performance liquid chromatography method. Finally, only 13-Hydroxy-9,11-octadecadienoic acid and its isomer 9-Hydroxy-10,12-octadecadienoic acid could be used further to differentiate the commercial vinegar-baked Euphorbia kansui. It would be of interest to evaluate whether these two compounds could be utilized as markers to control more processing methods in future studies.
中药炮制需要合适的参数,然而目前仍缺乏特定的化学标志物来实现优化炮制。在本研究中,我们以醋炙甘遂为例,采用非靶向代谢组学方法剖析炮制过程中的化学标志物。基于相关性、显著差异和可控性这三条规则筛选出可靠的化学标志物。所有差异特征根据其质量亏损进行分类。经过差异分析,筛选出310种差异化合物,主要可分为六类:在判别模型中,甘油二酯和甘油三酯随炮制时间呈上升趋势,而大戟烷型二萜、麻风树烷型二萜、脂肪酸酯和脂肪酸呈下降趋势。意外的是,二萜类化合物与炮制时间不相关。只有极少数化合物符合这三条规则。采用高效液相色谱法对其进行验证。最终,只有13-羟基-9,11-十八碳二烯酸及其异构体9-羟基-10,12-十八碳二烯酸可进一步用于区分市售醋炙甘遂。评估这两种化合物在未来研究中是否可作为标志物来控制更多炮制方法将是很有意义的。