基于广泛靶向代谢组学技术分析陈化7至11年广陈皮化学成分的差异

陈云丽; 颜仁梁; 卢雪花; 李丽莎; 张亚敏; 徐小妹; 徐榕青; 林文津

doi:10.13386/j.issn1002-0306.2022120214

基于广泛靶向代谢组学技术分析陈化7至11年广陈皮化学成分的差异

Analysis of Chemical Composition Differences of Pericarpium Citri Reticulatae 'Chachi' with Storage from 7 to 11 Years by Widely-Targeted Metabolomics Technology

摘要

摘要: 目的：研究不同陈化年限广陈皮化学成分的差异，为广陈皮的陈化机制提供一定的理论基础和科学依据。方法：采用UPLC-MS/MS广泛靶向代谢组学技术对3种陈化年限（7Y、9Y、11Y）广陈皮的化学成分进行检测和分析；使用PCA和OPLS-DA统计分析方法鉴定差异代谢物。结果：共鉴定出27类778个化合物，主要为黄酮类（121个）和萜类（90个）等成分，根据变量投影重要度（VIP）值大于1且P-value小于0.05，筛选出121个差异代谢物，其中陈化11Y组与陈化9Y组比较发现22类65个差异代谢物，陈化11Y组与陈化7Y组比较发现20类62个差异代谢物，陈化9Y组与陈化7Y组比较发现14类32个差异代谢物，陈化7~11年广陈皮差异代谢物的数量和种类趋于增多。陈化年限不同的广陈皮代谢物有较大差异。随着陈化时间的增加，陈化时间对黄酮类、萜类、氨基酸及其衍生物影响较大。与差异代谢物相关性最高的关键通路有：单萜类生物合成、黄酮和黄酮醇生物合成、氨基酸及其衍生物参与的代谢通路（丙氨酸、天冬氨酸和谷氨酸代谢、甘氨酸、丝氨酸和苏氨酸代谢、半胱氨酸和蛋氨酸代谢）。结论：采用广泛靶向代谢组学技术可以高效地对广陈皮化学成分进行组分鉴别和分析，为广陈皮陈化机制研究奠定了重要的技术基础。

Abstract: Objective: To analyze the differences of chemical composition of Pericarpium Citri Reticulatae 'Chachi' under different aging years, and to provide the theoretical and scientific basis for the aging mechanism of Pericarpium Citri Reticulatae 'Chachi'. Methods: UPLC-MS/MS widely-targeted metabolomics technology was used to detect and analyze the chemical constituents of three kinds of Pericarpium Citri Reticulatae 'Chachi' aged seven years, nine years and eleven years. PCA and OPLS-DA statistical analysis methods were used to identify differential metabolites. Results: A total of 778 compounds of 27 categories were identified. Main components were flavonoids (121) and terpenoids (90). According to the VIP value greater than 1 and the P-value less than 0.05, 121 differential metabolites were screened, 65 differential metabolites of 22 categories between the 11-year aging group and 9-year aging group, 62 differential metabolites of 20 categories between the 11-year aging group and 7-year aging group, 32 differential metabolites of 14 categories between the 9-year aging group and 7-year aging group. The numbers and types of differential metabolites in Pericarpium Citri Reticulatae 'Chachi' tended to increase after aging for 7~11 years. There were differences in metabolites of Pericarpium Citri Reticulatae 'Chachi' under different aging years. With the increase of aging time, the aging time had great influence on flavonoids, terpenoids, amino acid and derivatives. The key pathways with the highest correlation with differential metabolites were: Monoterpenoid biosynthesis, flavone and flavonol biosynthesis, the metabolic pathways involved in amino acid and derivatives (alanine, aspartate and glutamate metabolism, glycine, serine and threonine metabolism, cysteine and methionine metabolism). Conclusion: Widely-targeted metabolomics technology can be used to identify and analyze the chemical components of Pericarpium Citri Reticulatae 'Chachi' with high efficiency. It has established important technical foundation for researching the aging mechanism of Pericarpium Citri Reticulatae 'Chachi'.