杨秀娟, 魏江霞, 杨志军, 田一虹, 段国建, 陈晖, 李硕. 基于UHPLC-QE-MS非靶向代谢组学的当归不同药用部位差异代谢物分析J. 药学学报, 2025, 60(4): 1093-1102. DOI: 10.16438/j.0513-4870.2024-0887
引用本文: 杨秀娟, 魏江霞, 杨志军, 田一虹, 段国建, 陈晖, 李硕. 基于UHPLC-QE-MS非靶向代谢组学的当归不同药用部位差异代谢物分析J. 药学学报, 2025, 60(4): 1093-1102. DOI: 10.16438/j.0513-4870.2024-0887
YANG Xiu-juan, WEI Jiang-xia, YANG Zhi-jun, TIAN Yi-hong, DUAN Guo-jian, CHEN Hui, LI Shuo. Different medicinal parts of Angelica sinensis based on UHPLC-QE-MS non-targeted metabolomics differential metabolite analysisJ. Acta Pharmaceutica Sinica, 2025, 60(4): 1093-1102. DOI: 10.16438/j.0513-4870.2024-0887
Citation: YANG Xiu-juan, WEI Jiang-xia, YANG Zhi-jun, TIAN Yi-hong, DUAN Guo-jian, CHEN Hui, LI Shuo. Different medicinal parts of Angelica sinensis based on UHPLC-QE-MS non-targeted metabolomics differential metabolite analysisJ. Acta Pharmaceutica Sinica, 2025, 60(4): 1093-1102. DOI: 10.16438/j.0513-4870.2024-0887

基于UHPLC-QE-MS非靶向代谢组学的当归不同药用部位差异代谢物分析

Different medicinal parts of Angelica sinensis based on UHPLC-QE-MS non-targeted metabolomics differential metabolite analysis

  • 摘要: 本研究利用UHPLC-QE-MS结合非靶向代谢组学技术鉴定当归不同药用部位(归头、归身、归尾) 的差异性化合物, 通过主成分分析和正交偏最小二乘-判别分析方法筛选差异代谢物, 并分析相关代谢通路。结果在当归不同药用部位中共鉴定出18类1 072个代谢物, 主要为萜类、苯丙素类、脂质及其衍生物、生物碱、黄酮类、有机酸及其衍生物等, 其中, 归头对比归身映射530个差异代谢物、归头对比归尾映射565个差异代谢物、归身对比归尾映射474个差异代谢物, 而山柰酚、绿原酸、阿魏酸、藁本内酯、甘草素、芦丁等成分主要富集于归尾, 柚皮素、芹菜素等成分主要富集于归身, 雌二醇、川芎嗪等成分主要富集于归头; 差异代谢物主要富集在类黄酮、黄酮以及黄酮醇的生物合成、吲哚生物碱生物合成、色氨酸代谢、苯丙氨酸代谢等通路上。该研究通过非靶向代谢组学技术对当归不同药用部位的差异代谢物进行比较分析, 为临床合理、精准应用当归不同药用部位提供科学支撑。

     

    Abstract: In order to further distinguish the differences of compounds in different medicinal parts of Angelica (head, body and tail), our study used UHPLC-QE-MS combined with non-targeted metabolomics technology to identify the different compounds in different medicinal parts of Angelica. Principal component analysis (PCA) and OPLS-DA were used to screen the differential metabolites, and the related pathways were compared and analyzed. Eighteen types of 1 072 metabolites were identified from different medicinal parts of Angelica sinensis, mainly terpenoids, phenylpropanes, lipids and their derivatives, alkaloids, flavonoids, organic acids and their derivatives, etc. The comparison between Angelica head and Angelica body, Angelica head and Angelica tail, Angelica body and Angelica tail showed 530, 565, 474 different metabolites, among which kaempferol, cinnamic acid, chlorogenic acid, ferulic acid, ligustilide, liquiritigenin, and rutin were mainly enriched in Angelica tail, naringin, apigenin were mainly enriched in Angelica body, estradiol, ligustrazine were mainly enriched in Angelica head; differential metabolites are concentrated in flavonoid biosynthesis, phenylalanine metabolism, indole alkaloid biosynthesis, tryptophan metabolism, flavonoid and flavonol biosynthesis and other pathways. In this study, UHPLC-QE-MS non-targeted metabolomics technology can effectively analyze the differential metabolites of different medicinal parts of Angelica sinensis, providing scientific support for clinical rational and accurate application of different medicinal parts of Angelica sinensis.

     

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