Literature DB >> 24648255

Simultaneous determination of metoprolol and its metabolites, α-hydroxymetoprolol and O-desmethylmetoprolol, in human plasma by liquid chromatography with tandem mass spectrometry: Application to the pharmacokinetics of metoprolol associated with CYP2D6 genotypes.

Soo Hyeon Bae1, Joeng Kee Lee, Doo-Yeoun Cho, Soo Kyung Bae.   

Abstract

A rapid and simple LC with MS/MS method for the simultaneous determination of metoprolol and its two CYP2D6-derived metabolites, α-hydroxy- and O-desmethylmetoprolol, in human plasma was established. Metoprolol (MET), its two metabolites, and the internal standard chlorpropamide were extracted from plasma (50 μL) using ethyl acetate. Chromatographic separation was performed on a Luna CN column with an isocratic mobile phase consisting of distilled water and methanol containing 0.1% formic acid (60:40, v/v) at a flow rate of 0.3 mL/min. The total run time was 3.0 min per sample. Mass spectrometric detection was conducted by ESI in positive ion selected-reaction monitoring mode. The linear ranges of concentration for MET, α-hydroxymetoprolol, and O-desmethylmetoprolol were 2-1000, 2-500, and 2-500 ng/mL, respectively, with a lower limit of quantification of 2 ng/mL for all analytes. The coefficient of variation for the assay's precision was ≤ 13.2%, and the accuracy was 89.1-110%. All analytes were stable under various storage and handling conditions and no relevant cross-talk and matrix effect were observed. Finally, this method was successfully applied to assess the influence of CYP2D6 genotypes on the pharmacokinetics of MET after oral administration of 100 mg to healthy Korean volunteers.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Human plasma; LC-MS/MS; Metabolites; Metoprolol; Pharmacokinetics

Mesh:

Substances:

Year:  2014        PMID: 24648255     DOI: 10.1002/jssc.201301353

Source DB:  PubMed          Journal:  J Sep Sci        ISSN: 1615-9306            Impact factor:   3.645


  6 in total

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Authors:  Choong-Min Lee; Pureum Kang; Chang-Keun Cho; Hye-Jung Park; Yun Jeong Lee; Jung-Woo Bae; Chang-Ik Choi; Hyung Sik Kim; Choon-Gon Jang; Seok-Yong Lee
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Review 3.  Pharmacogenetic factors affecting β-blocker metabolism and response.

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4.  Metabolomic profiling of metoprolol hypertension treatment reveals altered gut microbiota-derived urinary metabolites.

Authors:  Chad N Brocker; Thomas Velenosi; Hania K Flaten; Glenn McWilliams; Kyle McDaniel; Shelby K Shelton; Jessica Saben; Kristopher W Krausz; Frank J Gonzalez; Andrew A Monte
Journal:  Hum Genomics       Date:  2020-03-11       Impact factor: 4.639

5.  In Vitro Metabolic Transformation of Pharmaceuticals by Hepatic S9 Fractions from Common Carp (Cyprinus carpio).

Authors:  Viktoriia Burkina; Sidika Sakalli; Pham Thai Giang; Kateřina Grabicová; Andrea Vojs Staňová; Galia Zamaratskaia; Vladimir Zlabek
Journal:  Molecules       Date:  2020-06-10       Impact factor: 4.411

6.  Direct analysis in real time-mass spectrometry for rapid quantification of five anti-arrhythmic drugs in human serum: application to therapeutic drug monitoring.

Authors:  Yuzhou Gui; Youli Lu; Shuijun Li; Mengqi Zhang; Xiaokun Duan; Charles C Liu; Jingying Jia; Gangyi Liu
Journal:  Sci Rep       Date:  2020-09-23       Impact factor: 4.379

  6 in total

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