| Literature DB >> 35011422 |
Mengxiang Dai1, Sen Li2, Qingxin Shi1, Xingliang Xiang1, Yuehui Jin1, Sha Wei3, Lijun Zhang3, Min Yang3, Chengwu Song1, Rongzeng Huang1, Shuna Jin3.
Abstract
Alismatis rhizoma (AR) has been used as an herbal medicine in China for over a thousand years. Crude AR, salt-processed AR (SAR), and bran-processed AR (BAR) are recorded in the Pharmacopoeia of the People's Republic of China. However, the differences of chemical composition between crude AR and its processing products remain limited. In this study, triterpenes were identified from crude AR, SAR, and BAR by ultra-high performance liquid chromatography coupled with quadrupole time-of-flight-mass spectrometer (UHPLC-QTOF-MS/MS). Subsequently, the differences of triterpenes between the crude AR and processed ARs were compared via a targeted metabolomics approach. Finally, a total of 114 triterpenes were identified, of which 83, 100, and 103 triterpenes were found in crude AR, SAR, and BAR, respectively. After salt-processing, there were 17 triterpenes newly generated, 7 triterpenes with trends of increasing, and 37 triterpenes decreased. Meanwhile, 56 triterpenes including 21 newly generated and 35 with significant increases were observed in BAR. This study could be benefit to investigate the processing mechanism of AR, as well as support their clinical applications.Entities:
Keywords: Alismatis rhizoma; metabolomics; multivariate statistical analysis; processing; triterpenes
Mesh:
Substances:
Year: 2021 PMID: 35011422 PMCID: PMC8747029 DOI: 10.3390/molecules27010185
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Figure 1The major triterpene types in Alismatis rhizoma.
Figure 2The new generated triterpenes in salt and bran processed AR. N: The compound was not detected in the sample. Y: The compound was detected in the sample.
Figure 3Multivariate statistical analysis of metabolic profiles derived from various AR samples: (a) PCA score scatter plots obtained from the crude samples (group A), salt-processing samples (group S), bran-processing samples (group B) and quality control samples (group QC). (b) PLS-DA score scatter plots obtained from A and S group. (c) PLS-DA score scatter plots obtained from A and B group.
Figure 4The relative contents of triterpenes detected in the extracts of three samples. A, S, and B are the crude samples, salt-processed samples, and bran-processed samples, respectively. The value of each compound was the log2 transformation of its relative content. The color intensity from blue to red reflects the relative content of each triterpenes. The triterpenes not detected in the sample were marked as cross in the heatmap.
Figure 5Distribution of triterpenes in the extracts of two processing groups: (a) salt-processing samples. (b) bran-processing samples. The number of different types of triterpenes is indicated by the green number.
Figure 6Triterpenes with significant differences between different AR samples: (a) Distribution of triterpenes with significant differences between crude and salt-processed sample based on different structure. (b) Distribution of triterpenes with significant differences between crude and bran-processed sample based on different structure. Values at each point was the ratio of the mean content of a triterpene in processed AR to that of crude AR. Error bars represent the mean ± S.D. Statistics were performed with one-way ANOVA test, indicated as * p value < 0.05, ** p value < 0.01 and *** p value < 0.001. The orange number represents the VIP value of the triterpenes.