Home Medicine Determination of reference intervals for urinary steroid profiling using a newly validated GC-MS/MS method
Article
Licensed
Unlicensed Requires Authentication

Determination of reference intervals for urinary steroid profiling using a newly validated GC-MS/MS method

  • Wilhelmina H.A. de Jong EMAIL logo , Edward Buitenwerf , Alle T. Pranger , Ineke J. Riphagen ORCID logo , Bruce H.R. Wolffenbuttel , Michiel N. Kerstens and Ido P. Kema
Published/Copyright: June 9, 2017

Abstract

Background:

Urinary steroid profiling (USP) is a powerful diagnostic tool to asses disorders of steroidogenesis. Pre-analytical factors such as age, sex and use of oral contraceptive pills (OCP) may affect steroid hormone synthesis and metabolism. In general, USP reference intervals are not adjusted for these variables. In this study we aimed to establish such reference intervals using a newly-developed and validated gas chromatography with tandem mass spectrometry detection method (GC-MS/MS).

Methods:

Two hundred and forty healthy subjects aged 20–79 years, stratified into six consecutive decade groups each containing 20 males and 20 females, were included. None of the subjects used medications. In addition, 40 women aged 20–39 years using OCP were selected. A GC-MS/MS assay, using hydrolysis, solid phase extraction and double derivatization, was extensively validated and applied for determining USP reference intervals.

Results:

Androgen metabolite excretion declined with age in both men and women. Cortisol metabolite excretion remained constant during life in both sexes but increased in women 70–79 years of age. Progesterone metabolite excretion peaked in 30–39-year-old women and declined afterwards. Women using OCP had lower excretions of androgen metabolites, progesterone metabolites and cortisol metabolites. Method validation results met prerequisites and revealed the robustness of the GC-MS/MS method.

Conclusions:

We developed a new GC-MS/MS method for USP which is applicable for high throughput analysis. Widely applicable age and sex specific reference intervals for 33 metabolites and their diagnostic ratios have been defined. In addition to age and gender, USP reference intervals should be adjusted for OCP use.


Corresponding author: Wilhelmina H.A. de Jong, PhD, Department of Laboratory Medicine, University of Groningen, University Medical Center Groningen, Hanzeplein 1, EA61, PO-Box 30.001, 9700 RB Groningen, The Netherlands, Phone: +0031-50-3617015, Fax: +050-3611746

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: None declared.

  3. Employment or leadership: None declared.

  4. Honorarium: None declared.

  5. Competing interests: The funding organization(s) played no role in the study design; in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the report for publication.

References

1. Miller WL, Auchus RJ. The molecular biology, biochemistry, and physiology of human steroidogenesis and its disorders. Endocr Rev 2011;32:81–151.10.1210/er.2010-0013Search in Google Scholar

2. Miller WL, Bose HS. Early steps in steroidogenesis: intracellular cholesterol trafficking. J Lipid Res 2011;52:2111–35.10.1194/jlr.R016675Search in Google Scholar

3. Larsen P, Kronenberg H, Melmed S, Polonsky K. Effects of glucocorticoids. In: Williams textbook of endocrinology, 10th ed. Philadelphia: W.B Saunders Company, 2003:503–6.Search in Google Scholar

4. Krone N, Hughes BA, Lavery GG, Stewart PM, Arlt W, Shackleton CH. Gas chromatography/mass spectrometry (GC/MS) remains a pre-eminent discovery tool in clinical steroid investigations even in the era of fast liquid chromatography tandem mass spectrometry (LC/MS/MS). J Steroid Biochem Mol Biol 2010;121: 496–504.10.1016/j.jsbmb.2010.04.010Search in Google Scholar

5. Wudy SA, Hartmann MF. Gas chromatography-mass spectrometry profiling of steroids in times of molecular biology. Horm Metab Res 2004;36:415–22.10.1055/s-2004-814565Search in Google Scholar

6. Taylor NF. Urinary steroid profiling. Methods Mol Biol 2013;1065:259–76.10.1007/978-1-62703-616-0_17Search in Google Scholar

7. Wolthers BG, Kraan GP. Clinical applications of gas chromatography and gas chromatography-mass spectrometry of steroids. J Chromatogr A 1999;843:247–74.10.1016/S0021-9673(99)00153-3Search in Google Scholar

8. Kerstens MN, Guillaume CP, Wolthers BG, Dullaart RP. Gas chromatographic-mass spectrometric analysis of urinary glycyrrhetinic acid: an aid in diagnosing liquorice abuse. J Intern Med 1999;246:539–47.10.1046/j.1365-2796.1999.00551.xSearch in Google Scholar PubMed

9. Berruti A, Baudin E, Gelderblom H, Haak HR, Porpiglia F, Fassnacht M, et al. Adrenal cancer: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 2012;23(Suppl 7):vii, 131–8.10.1093/annonc/mds231Search in Google Scholar PubMed

10. Kerkhofs TM, Kerstens MN, Kema IP, Willems TP, Haak HR. Diagnostic value of urinary steroid profiling in the evaluation of adrenal tumors. Horm Cancer 2015;6:168–75.10.1007/s12672-015-0224-3Search in Google Scholar PubMed PubMed Central

11. Arlt W, Biehl M, Taylor AE, Hahner S, Libé R, Hughes BA, et al. Urine steroid metabolomics as a biomarker tool for detecting malignancy in adrenal tumors. J Clin Endocrinol Metab 2011;96:3775–84.10.1210/jc.2011-1565Search in Google Scholar PubMed PubMed Central

12. Grondal S, Eriksson B, Hagenas L, Werner S, Curstedt T. Steroid profile in urine: a useful tool in the diagnosis and follow up of adrenocortical carcinoma. Acta Endocrinol (Copenh) 1990;122:656–63.10.1530/acta.0.1220656Search in Google Scholar

13. Van Renterghem P, Van Eenoo P, Geyer H, Schanzer W, Delbeke FT. Reference ranges for urinary concentrations and ratios of endogenous steroids, which can be used as markers for steroid misuse, in a Caucasian population of athletes. Steroids 2010;75:154–63.10.1016/j.steroids.2009.11.008Search in Google Scholar

14. Weykamp CW, Penders TJ, Schmidt NA, Borburgh AJ, van de Calseyde JF, Wolthers BJ. Steroid profile for urine: reference values. Clin Chem 1989;35:2281–4.10.1093/clinchem/35.12.2281Search in Google Scholar

15. Martinez-Brito D, Correa Vidal MT, de la Torre X, Garcia-Mir V, Ledea Lozano O, Granda Fraga M. Reference ranges for the urinary steroid profile in a Latin-American population. Drug Test Anal 2013;5:619–26.10.1002/dta.1448Search in Google Scholar

16. Chan AO, Taylor NF, Tiu SC, Shek CC. Reference intervals of urinary steroid metabolites using gas chromatography-mass spectrometry in Chinese adults. Steroids 2008;73:828–37.10.1016/j.steroids.2008.03.004Search in Google Scholar

17. Shackleton CH. Mass spectrometry in the diagnosis of steroid-related disorders and in hypertension research. J Steroid Biochem Mol Biol 1993;45:127–40.10.1016/0960-0760(93)90132-GSearch in Google Scholar

18. Scholtens S, Smidt N, Swertz MA, Bakker SJ, Dotinga A, Vonk JM, et al. Cohort profile: LifeLines, a three-generation cohort study and biobank. Int J Epidemiol 2015;44:1172–80.10.1093/ije/dyu229Search in Google Scholar

19. Wielders JP, Roelofsen-de Beer RJ, Boer AK, de Jong WH, Mohrmann K, Mulder AH, et al. Validatie en verificatie van onderzoeksprocedures in medische laboratoria. Ned Tijdschr Klin Chem 2017;42:25–36.Search in Google Scholar

20. Kirschbaum C, Kudielka BM, Gaab J, Schommer NC, Hellhammer DH. Impact of gender, menstrual cycle phase, and oral contraceptives on the activity of the hypothalamus-pituitary-adrenal axis. Psychosom Med 1999;61:154–62.10.1097/00006842-199903000-00006Search in Google Scholar

21. Bulbrook RD, Herian M, Tong D, Hayward JL, Swain MC, Wang DY. Effect of steroidal contraceptives on levels of plasma androgen sulphates and cortisol. Lancet 1973;1:628–31.10.1016/S0140-6736(73)92198-3Search in Google Scholar

22. Labrie F, Belanger A, Cusan L, Gomez JL, Candas B. Marked decline in serum concentrations of adrenal C19 sex steroid precursors and conjugated androgen metabolites during aging. J Clin Endocrinol Metab 1997;82:2396–402.10.1210/jcem.82.8.4160Search in Google Scholar PubMed

23. Parker CR Jr, Slayden SM, Azziz R, Crabbe SL, Hines GA, Boots LR, et al. Effects of aging on adrenal function in the human: responsiveness and sensitivity of adrenal androgens and cortisol to adrenocorticotropin in premenopausal and postmenopausal women. J Clin Endocrinol Metab 2000;85:48–54.Search in Google Scholar

24. Schäfer HH, de Villiers JD, Sivukhina E, Lewis J, Wande D, Perembe B, et al. Altered homeostasis of systemic glucocorticoids as related to obesity, glucose tolerance, and smoking. Horm Metab Res 2013;45:245–51.10.1055/s-0032-1323741Search in Google Scholar PubMed

25. Guo X, Lankmayr E. Hyphenated techniques in gas chromatography. In: Mustafa Ali Mohd, editor. Advanced gas chromatography — progress in agricultural, biomedical and industrial applications. InTech, 2012. ISBN: 978-953-51-0298-4. Available from: http://www.intechopen.com/books/advanced-gaschromatography-progress-in-agricultural-biomedical-and-industrial-applications/hyphenated-techniques-ingas-chromatography.10.5772/31802Search in Google Scholar

26. Marcos J, Renau N, Casals G, Segura J, Ventura R, Pozo OJ. Investigation of endogenous corticosteroids profiles in human urine based on liquid chromatography tandem mass spectrometry. Anal Chim Acta 2014;812:92–104.10.1016/j.aca.2013.12.030Search in Google Scholar PubMed


Supplemental Material:

The online version of this article (https://doi.org/10.1515/cclm-2016-1072) offers supplementary material, available to authorized users.


Received: 2016-11-24
Accepted: 2017-4-20
Published Online: 2017-6-9
Published in Print: 2017-11-27

©2018 Walter de Gruyter GmbH, Berlin/Boston

Articles in the same Issue

  1. Frontmatter
  2. Editorial
  3. Method comparison – a practical approach based on error identification
  4. Review
  5. Neutrophil gelatinase-associated lipocalin as a risk marker in cardiovascular disease
  6. Mini Reviews
  7. α-Defensin point-of-care test for diagnosis of prosthetic joint infections: neglected role of laboratory and clinical pathologists
  8. The diagnostic accuracy of biomarkers for diagnosis of primary biliary cholangitis (PBC) in anti-mitochondrial antibody (AMA)-negative PBC patients: a review of literature
  9. Opinion Paper
  10. New issues on measurement of B-type natriuretic peptides
  11. Genetics and Molecular Diagnostics
  12. The SEeMORE strategy: single-tube electrophoresis analysis-based genotyping to detect monogenic diseases rapidly and effectively from conception until birth
  13. General Clinical Chemistry and Laboratory Medicine
  14. Determination of serum calcium levels by 42Ca isotope dilution inductively coupled plasma mass spectrometry
  15. The effects of dry ice exposure on plasma pH and coagulation analyses
  16. Placental protein-13 (PP13) in combination with PAPP-A and free leptin index (fLI) in first trimester maternal serum screening for severe and early preeclampsia
  17. Circulating CD89-IgA complex does not predict deterioration of kidney function in Korean patients with IgA nephropathy
  18. Performance analysis of automated evaluation of Crithidia luciliae-based indirect immunofluorescence tests in a routine setting – strengths and weaknesses
  19. Performance of automated digital cell imaging analyzer Sysmex DI-60
  20. Reference Values and Biological Variations
  21. Determination of reference intervals for urinary steroid profiling using a newly validated GC-MS/MS method
  22. Reference intervals and longitudinal changes in copeptin and MR-proADM concentrations during pregnancy
  23. Definition of the upper reference limit of glycated albumin in blood donors from Italy
  24. Reference values of fecal calgranulin C (S100A12) in school aged children and adolescents
  25. Processing-independent proANP measurement for low concentrations in plasma: reference intervals and effect of body mass index and plasma glucose
  26. Cancer Diagnostics
  27. Cancer sniffer dogs: how can we translate this peculiarity in laboratory medicine? Results of a pilot study on gastrointestinal cancers
  28. Cardiovascular Diseases
  29. NGAL and MMP-9/NGAL as biomarkers of plaque vulnerability and targets of statins in patients with carotid atherosclerosis
  30. Analytical evaluation of the new Beckman Coulter Access high sensitivity cardiac troponin I immunoassay
  31. Infectious Diseases
  32. Analytical evaluation of the performances of Diazyme and BRAHMS procalcitonin applied to Roche Cobas in comparison with BRAHMS PCT-sensitive Kryptor
  33. Effects of procalcitonin testing on antibiotic use and clinical outcomes in patients with upper respiratory tract infections. An individual patient data meta-analysis
  34. Acknowledgment
  35. Letters to the Editor
  36. Handling the altered test results of hemolyzed samples. Recommendations of the Quality, Management, Safety and Evidence Committee (CCGSE) of the Spanish Association of Medical Biopathology and Laboratory Medicine (AEBM-ML)
  37. Reply to: Analytical evaluation of the performances of Diazyme and BRAHMS procalcitonin applied to Roche Cobas in comparison with BRAHMS PCT-sensitive Kryptor
  38. Excessive hypercortisolemia due to ectopic Cushing’s syndrome requiring extending the reportable range for plasma cortisol for management
  39. Heavy chain disease: our experience
  40. An abnormal elevation of serum CA72-4 due to taking colchicine
  41. Rivaroxaban non-responders: do plasma measurements have a place?
  42. Next generation sequencing and immuno-histochemistry profiling identify numerous biomarkers for personalized therapy of endometrioid endometrial carcinoma
  43. A multicenter effort to improve comparability of vitamin B6 assays in whole blood
  44. PR3-anti-neutrophil cytoplasmic antibodies (ANCA) in ulcerative colitis
Downloaded on 28.1.2026 from https://www.degruyterbrill.com/document/doi/10.1515/cclm-2016-1072/html
Scroll to top button