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Rapid analysis in small-volume urine: Optimizing LC-MS/MS for free glucocorticoids
Ikumi Endo1, Mikiko Tokiya2, Kazuhiro Kawamoto2
1Department of Social and Environmental Medicine, Saga University. 5-1-1 Nabeshima, Saga 849-8501, Japan; Laboratory of Biochemistry, Faculty of Agriculture, Saga University, 1 Honjo, Saga, Japan.
Researchers optimized a urine analysis method for glucocorticoids, reducing sample volume from 100 μL to 20 μL. This downscaled method enhances large-scale stress and disease biomarker studies.
Area of Science:
- Biochemistry
- Analytical Chemistry
- Endocrinology
Background:
- Glucocorticoids are key biomarkers for stress response and disease, regulating metabolism and immunity.
- Current analytical methods often require large sample volumes, limiting large-scale studies.
- Downscaling sample requirements is crucial for advancing research in these areas.
Purpose of the Study:
- To develop and validate a downscaled liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for analyzing urinary cortisol and cortisone.
- To reduce the required urine sample volume for glucocorticoid analysis while maintaining accuracy and reliability.
Main Methods:
- Modified an existing LC-MS/MS method, decreasing urine sample volume from 100 μL to 20 μL.
- Incorporated cortisone-d8 as an internal standard and adjusted calibration standards (1/5 dilution).
- Validated linearity, lower limit of quantitation (LLOQ), matrix effects, recovery, accuracy, and reproducibility.
Main Results:
- Achieved good linearity (2-200 ng/mL) with an LLOQ below 2 ng/mL.
- Observed acceptable coefficients of variation (<15%) for matrix factors.
- The downscaled method demonstrated good recovery, accuracy, reproducibility, and agreement with the original method, with some matrix effect variations.
Conclusions:
- The downscaled LC-MS/MS method effectively analyzes urinary cortisol and cortisone using significantly reduced sample volumes.
- This optimized method facilitates larger cohort studies and accelerates research on stress response and related diseases.
- The method shows potential for advancing the study of glucocorticoids in various physiological and pathological conditions.
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