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Updated: Feb 5, 2026

Quantitative Metabolomics of Saccharomyces Cerevisiae Using Liquid Chromatography Coupled with Tandem Mass Spectrometry
Published on: January 5, 2021
Comprehensive steroid profiling by liquid chromatography coupled to high resolution mass spectrometry
Zied Kaabia1, Jérôme Laparre1, Nora Cesbron1
1Laberca, Oniris, INRA, Université Bretagne Loire, 44307, Nantes-FR, France.
A new steroidomics workflow analyzes over 150 urine steroids, including free and conjugated forms. This method successfully identified known and novel steroid biomarkers following anabolic treatment in veal calves.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Metabolomics
Background:
- Steroid hormone analysis is crucial for understanding physiological processes and detecting exogenous substances.
- Comprehensive profiling of urinary steroids, including both free and conjugated forms, presents analytical challenges.
Purpose of the Study:
- To develop and validate a steroidomics workflow for the simultaneous analysis of a wide range of free and conjugated steroids in urine.
- To create a comprehensive database for steroid identification and characterization.
- To assess the workflow's utility in detecting metabolic changes induced by anabolic treatments.
Main Methods:
- Solid-phase extraction (SPE) optimization for sample preparation.
- Ultra-high-performance liquid chromatography coupled with high-resolution tandem mass spectrometry (UHPLC-HRMS/MS) for simultaneous analysis.
- Development of a homemade database (>150 steroids) for metabolite identification.
- In vivo study involving anabolic treatment (boldenone undecylenate) in veal calves.
Main Results:
- The workflow demonstrated high selectivity, repeatability (<13%), and linearity (R2>0.985) for 44 representative steroids.
- Successfully identified known phase II metabolites of boldenone (glucuronide and sulfate) and observed changes in epiboldenone glucuronide.
- Detected 31 unidentified steroid signals impacted by the exogenous treatment.
- First study to simultaneously profile free and conjugated C18, C19, and C21 steroid hormones using UHPLC-HRMS/MS.
Conclusions:
- The developed steroidomics workflow provides a comprehensive approach for analyzing urinary steroid profiles.
- The method is effective in identifying known and potential novel steroid biomarkers, even after exogenous administration.
- This workflow offers a powerful tool for doping control, metabolic research, and understanding steroid homeostasis.
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