Literature DB >> 29729639

Method development and application for multi-component quantification in rats after oral administration of Longxuetongluo Capsule by UHPLC-MS/MS.

Jing Sun1, Huixia Huo1, Yuelin Song1, Jiao Zheng1, Yunfang Zhao1, Wenzhe Huang2, Yonghua Wang3, Jingbo Zhu4, Pengfei Tu5, Jun Li6.   

Abstract

Although wide applications towards ischemic stroke in clinic, the therapeutic materials of Longxuetongluo Capsule (LTC) that is composed of total phenolic extract of Chinese dragon's blood, are still largely unclear. Exposure pattern characterization of those drug-derived components in vivo, notably in circulation system has been recommended as a viable approach to disclose the effective components of a given herbal medicine. Herein, we aimed to develop a robust method being capable of multi-component quantification in either rat plasma or tissues following oral administration of LTC, and to clarify the kinetic profiles of 11 primary drug-derived phenolic derivatives. Proteins precipitation was carried out for the plasma as well as homogenized tissue samples with acetonitrile. Chromatographic separations were achieved using UHPLC equipped with a shim-pack XR-ODS II column, and confidence-enhanced detection was accomplished through the joint employment of selected-reaction monitoring and tandem mass spectrometry (SRM-MS/MS) on a hybrid triple quadrupole-linear ion trap mass spectrometer. Diverse validation assays proved the method to be sensitive, precise, and rapid for simultaneous determination of those 11 components. Pharmacokinetic and tissue distribution investigations were subsequently conducted in rat after a single 500 mg/kg oral dose. Rapid absorption (Tmax, 11.53-68.27 min) and elimination (T1/2, 6.893-57.90 min) occurred for all analytes-of-interest. Extensive occurrences were observed for 7,4'-dihydroxy-5-methoxyhomoisoflavanone (Cmax, 340.0 ng/mL), thevetiaflavone (Cmax, 42.86 ng/mL), 5,7,4'-trihydroxyhomoisoflavanone (Cmax, 41.55 ng/mL), and pterostilbene (Cmax, 25.49 ng/mL) in plasma. Significant distributions occurred for all analytes in the liver as well as kidney, and several compounds could be found in brain. The findings described are envisioned to provide promising information for the in-depth clarification of the therapeutic entities, and also to offer a practical approach for therapeutic drug monitoring of LTC in clinic.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Longxuetongluo capsule; Pharmacokinetics; Phenolic compounds; Tissue distribution; UHPLC–SRM-MS/MS

Mesh:

Substances:

Year:  2018        PMID: 29729639     DOI: 10.1016/j.jpba.2018.04.030

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  5 in total

Review 1.  The PI3K/AKT Pathway-The Potential Key Mechanisms of Traditional Chinese Medicine for Stroke.

Authors:  Chenyang Gu; Qiankun Zhang; Yajing Li; Rong Li; Jia Feng; Wanghao Chen; Waqas Ahmed; Ismatullah Soufiany; Shiying Huang; Jun Long; Lukui Chen
Journal:  Front Med (Lausanne)       Date:  2022-05-31

2.  Systems Pharmacology-Dissection of the Molecular Mechanisms of Dragon's Blood in Improving Ischemic Stroke Prognosis.

Authors:  Meng Jiang; Xing Su; Jianling Liu; Chunli Zheng; Xiaogang Li
Journal:  Evid Based Complement Alternat Med       Date:  2020-05-17       Impact factor: 2.629

Review 3.  Recent Advances in Synthesis, Bioactivity, and Pharmacokinetics of Pterostilbene, an Important Analog of Resveratrol.

Authors:  Yeju Liu; Yuyang You; Juan Lu; Xi Chen; Zhihong Yang
Journal:  Molecules       Date:  2020-11-06       Impact factor: 4.411

4.  Longxuetongluo Capsule protects against cerebral ischemia/reperfusion injury through endoplasmic reticulum stress and MAPK-mediated mechanisms.

Authors:  Bo Pan; Jing Sun; Ziyu Liu; Lingxiao Wang; Huixia Huo; Yunfang Zhao; Pengfei Tu; Wei Xiao; Jiao Zheng; Jun Li
Journal:  J Adv Res       Date:  2021-02-09       Impact factor: 10.479

5.  [Analysis of chemical components of Chinese medicine Ligustici Radix by achiral-chiral liquid chromatography-predictive multiple reaction monitoring].

Authors:  Xia Xu; Ting Li; Jinru Jia; Huiting Tang; Jun Li; Yunfang Zhao; Yuelin Song
Journal:  Se Pu       Date:  2021-06
  5 in total

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