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Identification of prototypes from Ligustri Lucidi Fructus in rat plasma based on a data-dependent acquisition and multicomponent pharmacokinetic study.
Biomed Chromatogr. 2020 Jul; 34(7):e4833.BC

Abstract

The identification and quantization of traditional Chinese medicine (TCM) are a challenge for researchers and industry. Using untargeted analytical methods, the in vivo detection and identification of TCM compounds are difficult because of the significant interference of endogenous substances. Fortunately, the ongoing development of new analytical technologies, especially Q-Orbitrap-MS, offers some solutions. Our team developed a holistic MS method, combining untargeted data-dependent MS2 (dd-MS2) modes to extensively identify TCM prototypes in vivo. The method was successfully applied to the analysis of Ligustri Lucidi Fructus (LLF). LLF is a widely used TCM with a remarkable nourishing effect on the liver and kidney. In the study, we aimed to identify the prototypes in rat plasma after oral administration of LLF extract. Following separation on an HSS T3 column, LLF extract and rat plasma were performed in untargeted dd-MS2 mode. Forty-seven compounds were characterized in rats plasma as prototypes of LLF extract. Furthermore, seven major prototypes were chosen as pharmacokinetic markers to investigate LLF's pharmacokinetic properties. The results provides comprehensive determination of compounds in LLF both in vitro and in vivo, which is important for quality control, pharmacology studies and clinical use of LLF.

Authors+Show Affiliations

Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.SCIEX China, Chaoyang District, Beijing, P.R. China.Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.Tianjin State Key Laboratory of Modern Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32198769

Citation

Wang, Yucheng, et al. "Identification of Prototypes From Ligustri Lucidi Fructus in Rat Plasma Based On a Data-dependent Acquisition and Multicomponent Pharmacokinetic Study." Biomedical Chromatography : BMC, vol. 34, no. 7, 2020, pp. e4833.
Wang Y, Feng K, Li M, et al. Identification of prototypes from Ligustri Lucidi Fructus in rat plasma based on a data-dependent acquisition and multicomponent pharmacokinetic study. Biomed Chromatogr. 2020;34(7):e4833.
Wang, Y., Feng, K., Li, M., Han, L., Wang, W., Si, D., Chen, X., Yang, W., Gao, X., & Liu, E. (2020). Identification of prototypes from Ligustri Lucidi Fructus in rat plasma based on a data-dependent acquisition and multicomponent pharmacokinetic study. Biomedical Chromatography : BMC, 34(7), e4833. https://doi.org/10.1002/bmc.4833
Wang Y, et al. Identification of Prototypes From Ligustri Lucidi Fructus in Rat Plasma Based On a Data-dependent Acquisition and Multicomponent Pharmacokinetic Study. Biomed Chromatogr. 2020;34(7):e4833. PubMed PMID: 32198769.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Identification of prototypes from Ligustri Lucidi Fructus in rat plasma based on a data-dependent acquisition and multicomponent pharmacokinetic study. AU - Wang,Yucheng, AU - Feng,Keyu, AU - Li,Mengrong, AU - Han,Lifeng, AU - Wang,Weiqiang, AU - Si,Dandan, AU - Chen,Xiaopeng, AU - Yang,Wenzhi, AU - Gao,Xiumei, AU - Liu,Erwei, Y1 - 2020/04/20/ PY - 2020/01/14/received PY - 2020/02/26/revised PY - 2020/03/13/accepted PY - 2020/3/22/pubmed PY - 2021/4/1/medline PY - 2020/3/22/entrez KW - Ligustri Lucidi Fructus KW - MS KW - pharmacokinetics KW - prototypes SP - e4833 EP - e4833 JF - Biomedical chromatography : BMC JO - Biomed Chromatogr VL - 34 IS - 7 N2 - The identification and quantization of traditional Chinese medicine (TCM) are a challenge for researchers and industry. Using untargeted analytical methods, the in vivo detection and identification of TCM compounds are difficult because of the significant interference of endogenous substances. Fortunately, the ongoing development of new analytical technologies, especially Q-Orbitrap-MS, offers some solutions. Our team developed a holistic MS method, combining untargeted data-dependent MS2 (dd-MS2) modes to extensively identify TCM prototypes in vivo. The method was successfully applied to the analysis of Ligustri Lucidi Fructus (LLF). LLF is a widely used TCM with a remarkable nourishing effect on the liver and kidney. In the study, we aimed to identify the prototypes in rat plasma after oral administration of LLF extract. Following separation on an HSS T3 column, LLF extract and rat plasma were performed in untargeted dd-MS2 mode. Forty-seven compounds were characterized in rats plasma as prototypes of LLF extract. Furthermore, seven major prototypes were chosen as pharmacokinetic markers to investigate LLF's pharmacokinetic properties. The results provides comprehensive determination of compounds in LLF both in vitro and in vivo, which is important for quality control, pharmacology studies and clinical use of LLF. SN - 1099-0801 UR - https://www.unboundmedicine.com/medline/citation/32198769/Identification_of_prototypes_from_Ligustri_Lucidi_Fructus_in_rat_plasma_based_on_a_data_dependent_acquisition_and_multicomponent_pharmacokinetic_study_ DB - PRIME DP - Unbound Medicine ER -