Literature DB >> 30292304

Supported liquid extraction coupled to gas chromatography-selective mass spectrometric scan modes for serum steroid profiling.

Ju-Yeon Moon1, Hye Suk Lee2, Jun Ho Kim3, Jin Hyup Lee3, Man Ho Choi4.   

Abstract

Although, steroid profiling is being applied in clinical and biochemical studies, improvement of the technique is still needed for accurate quantification of steroids in case of limited biological sample volumes. To improve analytical sensitivity and selectivity in comparison to that of conventional methods, a method that comprises supported liquid extraction (SLE) and gas chromatography-mass spectrometry with a combination of selected-reaction and selected-ion monitoring modes (GC-SRM/SIM-MS) was developed. Here, this combination of SLE purification with GC-MS method was optimized with 37 different types of steroids and the results were compared to a solid-phase extraction (SPE) method. The devised assay led to an increase in extraction efficiency with the good chromatographic selectivity through a single extraction step. The limits of quantification of the serum steroids, ranged from 0.2 to 5 ng mL-1, except for cholesterol (0.2 μg mL-1), and the correlation coefficients for calibration curves were higher than 0.99. The precision and accuracy were 1.4%-10.5% and 82.7%-115.3%, respectively. The overall recoveries of 30 steroids ranged from 62.1% to 104.3%, while that of 7 sterols was 44.7%-75.7%. Then, this validated method was applied to monitor the serum steroid levels of mice, which showed significant sex and age dependent metabolic patterns. This technique can be used to evaluate the metabolic changes occurring in animal models as well as in clinical patients.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  GC-MS; Mouse; SLE; Serum; Steroids

Mesh:

Substances:

Year:  2018        PMID: 30292304     DOI: 10.1016/j.aca.2018.02.059

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  3 in total

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2.  Gene expression and functional abnormalities in XX/Sry Leydig cells.

Authors:  Shogo Yanai; Takashi Baba; Kai Inui; Kanako Miyabayashi; Soyun Han; Miki Inoue; Fumiya Takahashi; Yoshiakira Kanai; Yasuyuki Ohkawa; Man Ho Choi; Ken-Ichirou Morohashi
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3.  Profiling of Steroid Metabolic Pathways in Human Plasma by GC-MS/MS Combined with Microwave-Assisted Derivatization for Diagnosis of Gastric Disorders.

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Journal:  Int J Mol Sci       Date:  2021-02-13       Impact factor: 5.923

  3 in total

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