Issue 46, 2022

Simultaneous determination of deuterium-labeled ergosterol and brassicasterol in stroke-prone spontaneously hypertensive rats by ultra-high performance liquid chromatography-electrospray ionization-tandem mass spectrometry

Abstract

A previous study has shown that brassicasterol-d1 was detected in the serum of stroke-prone spontaneously hypertensive rats after oral administration of ergosterol-d1. To quantitatively evaluate the serum concentration of brassicasterol-d1, an ultra-high performance liquid chromatography-electrospray ionization-tandem mass spectrometry method was developed for the simultaneous determination of picolinyl ester-derivatized ergosterol-d1 and brassicasterol-d1. The separation was performed on an ODS column (Waters Acquity UPLC BEH C18) with a mobile phase consisting of methanol and water containing 0.1% acetic acid (95/5, v/v). Linear calibration curves in the presence of the serum were obtained in a concentration range of 0.04–8 μg mL−1. Recovery rates of 95.6–119% were obtained with an RSD (n = 6) of less than 7.5%. The method was applied to the determination of time-concentration curves of ergosterol-d1 and brassicasterol-d1 in stroke-prone spontaneously hypertensive rats, showing a pharmacokinetic profile of ergosterol-d1 where the peak serum concentration of brassicasterol-d1 was 3-fold higher than that of ergosterol-d1.

Graphical abstract: Simultaneous determination of deuterium-labeled ergosterol and brassicasterol in stroke-prone spontaneously hypertensive rats by ultra-high performance liquid chromatography-electrospray ionization-tandem mass spectrometry

Supplementary files

Article information

Article type
Paper
Submitted
20 Oct 2022
Accepted
28 Oct 2022
First published
28 Oct 2022

Anal. Methods, 2022,14, 4879-4885

Simultaneous determination of deuterium-labeled ergosterol and brassicasterol in stroke-prone spontaneously hypertensive rats by ultra-high performance liquid chromatography-electrospray ionization-tandem mass spectrometry

K. Machida, Y. Koseki, A. Kotani, K. Yamamoto, T. Miura and H. Hakamata, Anal. Methods, 2022, 14, 4879 DOI: 10.1039/D2AY01705A

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