Pharmacokinetics and Tissue Distribution of Gingerols and Shogaols from Ginger (Zingiber officinale Rosc.) in Rats by UPLC–Q-Exactive–HRMS

Ling-Ling Li; Ying Cui; Xing-Han Guo; Kai Ma; Ping Tian; Jing Feng; Jun-Ming Wang

doi:10.3390/molecules24030512

journal article Open Access Jan 31, 2019

Pharmacokinetics and Tissue Distribution of Gingerols and Shogaols from Ginger (Zingiber officinale Rosc.) in Rats by UPLC–Q-Exactive–HRMS

Ling-Ling Li Ying Cui

Xing-Han Guo Kai Ma

Ping Tian

Jing Feng

Jun-Ming Wang

Molecules Vol. 24 No. 3 pp. 512 · MDPI AG

View at Publisher Save 10.3390/molecules24030512

Abstract

Gingerols and shogaols are recognized as active ingredients in ginger and exhibit diverse pharmacological activities. The preclinical pharmacokinetics and tissue distribution investigations of gingerols and shogaols in rats remain less explored, especially for the simultaneous analysis of multi-components. In this study, a rapid, sensitive, selective, and reliable method using an Ultra-Performance Liquid Chromatography Q-Exactive High-Resolution Mass Spectrometer (UPLC-Q-Exactive–HRMS) was established and validated for simultaneous determination of eight compounds, including 6-gingerol, 6-shogaol, 8-gingerol, 8-shogaol, 10-gingerol, 10-shogaol, Zingerone, and 6-isodehydrogingenone in plasma and tissues of rats. The analytes were separated on a Syncronis C18 column (100 × 2.1 mm, 1.7 µm) using a gradient elution of acetonitrile and 0.1% formic acid in water at a flow rate of 0.25 mL/min at 30 °C. The method was linear for each ingredient over the investigated range with all correlation coefficients greater than 0.9910. The lowest Lower Limit of quantitation (LLOQ) was 1.0 ng/mL. The intra- and inter-day precisions (Relative Standard Deviation, RSD%) were less than 12.2% and the accuracy (relative error, RE%) ranged from −8.7% to 8.7%. Extraction recovery was 91.4–107.4% and the matrix effect was 86.3–113.4%. The validated method was successfully applied to investigate the pharmacokinetics and tissue distribution of eight components after oral administration of ginger extract to rats. These results provide useful information about the pharmacokinetics and biodistribution of the multi-component bioactive ingredients of ginger in rats and will contribute to clinical practice and the evaluation of the safety of a Chinese herbal medicine.

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Details

Published: Jan 31, 2019
Vol/Issue: 24(3)
Pages: 512
License: View

Authors

L

Ling-Ling Li

School of Pharmacy, Henan University of Chinese Medicine, 156 Jinshui east Road, Zhengzhou 450046, China; Collaborative Innovation Center for Respiratory Disease Diagnosis and Treatment & Chinese Medicine Development of Henan Province, 156 Jinshui east Road, Zhengzhou 450046, China

Y

Ying Cui

School of Pharmacy, Henan University of Chinese Medicine, 156 Jinshui east Road, Zhengzhou 450046, China; Collaborative Innovation Center for Respiratory Disease Diagnosis and Treatment & Chinese Medicine Development of Henan Province, 156 Jinshui east Road, Zhengzhou 450046, China

X

Xing-Han Guo

School of Pharmacy, Henan University of Chinese Medicine, 156 Jinshui east Road, Zhengzhou 450046, China

K

Kai Ma

Henan Province Chinese Medicine Research Institute, Zhengzhou 450046, China

P

Ping Tian

Henan Province Chinese Medicine Research Institute, Zhengzhou 450046, China

J

Jing Feng

School of Pharmacy, Henan University of Chinese Medicine, 156 Jinshui east Road, Zhengzhou 450046, China

J

Jun-Ming Wang

School of Pharmacy, Henan University of Chinese Medicine, 156 Jinshui east Road, Zhengzhou 450046, China

Funding

National Natural Science Foundation of China Award: 81473368

Cite This Article

Ling-Ling Li, Ying Cui, Xing-Han Guo, et al. (2019). Pharmacokinetics and Tissue Distribution of Gingerols and Shogaols from Ginger (Zingiber officinale Rosc.) in Rats by UPLC–Q-Exactive–HRMS. Molecules, 24(3), 512. https://doi.org/10.3390/molecules24030512

Pharmacokinetics and Tissue Distribution of Gingerols and Shogaols from Ginger (Zingiber officinale Rosc.) in Rats by UPLC–Q-Exactive–HRMS

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