Profiling of urinary steroids aided by lithium ion adduction-based ultrahigh-performance liquid chromatography–tandem mass spectrometry

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抄録

Pan Y., Wang Q., Chen M., et al. Profiling of urinary steroids aided by lithium ion adduction-based ultrahigh-performance liquid chromatography–tandem mass spectrometry. Rapid Communications in Mass Spectrometry 38, e9719 (2024); https://doi.org/10.1002/rcm.9719.

Rationale: As 3-OH-containing steroids are prone to dehydration by conventional electrospray ionization, reducing detection sensitivity, Li ion adduction-based ultrahigh-performance liquid chromatography–tandem mass spectrometry (UHPLC/MS/MS), developed to prevent dehydration and effectively detect 3-OH steroids, was applied for profiling total and free steroids in urine. Methods: Free urinary steroids were isolated directly from urine by solid-phase extraction (SPE) with 80% acetonitrile. The total steroids were prepared by enzymatic treatment of urine with a cocktail of sulfatase and glucronidase, protein precipitation, and separation with the above SPE. In order to detect as many steroid types as possible, UHPLC/MS/MS (Li method) with Li+ solution added after the column was used for analysis in addition to the conventional method of detecting protonated ions (H method). The 13 3-OH steroids and the remaining 16 steroids were quantified by standard curves prepared using product ion transitions derived from [M + Li]+ and MH+, respectively. Results: Two groups of human urine, male and female urine, were analyzed. 3-OH steroids could be detected with greater sensitivity using the Li method than the conventional method. The absolute amounts of each steroid were normalized based on creatinine levels. The difference between the male and female groups are clearly attributable to sex steroids. Conclusions: Twenty-nine total steroids and 19 free steroids were identified in a limited volume (240 mL) of urine. Of these, 13 3-OH steroids were better detected by Li+ adduction-based UHPLC/MS/MS.

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詳細情報 詳細情報について

  • CRID
    1050862853910496256
  • ISSN
    10970231
    09514198
  • HANDLE
    11094/95276
  • 本文言語コード
    en
  • 資料種別
    journal article
  • データソース種別
    • IRDB

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