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Determination of lesinurad in rat plasma by a UHPLC–MS/MS assay

Overview of attention for article published in BMC Chemistry, November 2017
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Title
Determination of lesinurad in rat plasma by a UHPLC–MS/MS assay
Published in
BMC Chemistry, November 2017
DOI 10.1186/s13065-017-0353-6
Pubmed ID
Authors

Xiao-Yang Zhou, Ling-Jing Yuan, Zhe Chen, Peng-Fei Tang, Xiang-Yu Li, Guo-Xin Hu, Jian-Ping Cai

Abstract

Lesinurad is an oral inhibitor of urate-anion exchanger transporter 1 and has been approved by the US Food and Drug Administration for combination therapy with a xanthine oxidase inhibitor for the treatment of hyperuricemia associated with refractory gout. In the present study, a sensitive and specific ultra high-performance liquid chromatography with tandem mass spectrometry assay was established and verified for the determination of lesinurad in rat plasma and was described in details for the first time. Chromatographic separation of lesinurad and diazepam (internal standard, IS) was performed on a Rapid Resolution HT C18 column (3.0 × 100 mm, 1.8 µm) using methanol-water (70:30, v/v) as the mobile phase at a flow rate of 0.3 mL/min. Lesinurad and IS were extracted from plasma by liquid-liquid extraction using ethyl acetate. The mass spectrometric detection was carried out using an electrospray ionization source in positive mode. Multiple reaction monitoring was used for quantification of the precursor to product ion at m/z 405.6 → 220.9 for lesinurad and m/z 285.1 → 192.8 for IS. The assay was well validated for selectivity, accuracy, precision, recovery, linearity, matrix effects, and stability. The verified method was applied to obtain the pharmacokinetic parameters and concentration-time profiles for lesinurad after oral/intravenous administration in rats. The study might provide an important reference and a necessary complement for the qualitative and quantitative evaluation of lesinurad.

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Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 25%
Lecturer 1 13%
Lecturer > Senior Lecturer 1 13%
Student > Master 1 13%
Unknown 3 38%
Readers by discipline Count As %
Business, Management and Accounting 2 25%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Immunology and Microbiology 1 13%
Decision Sciences 1 13%
Medicine and Dentistry 1 13%
Other 0 0%
Unknown 2 25%