Cited by 28Sexual Differentiation and DisordersAdrenal Hormones and DisordersMetabolism and Genetic Disorders

Urinary GC-MS steroid metabotyping in treated children with congenital adrenal hyperplasia

Kamrath, Clemens, Hartmann, Michaela F., Pons-Kühnemann, Jörn, Wudy, Stefan A.·2020·Metabolism

Abstract

Background Treatment of children with classic congenital adrenal hyperplasia (CAH) is a difficult balance between hypercortisolism and hyperandrogenism. Biochemical monitoring of treatment is not well defined.Objective Cluster analysis of the urinary steroid metabolome obtained by targeted gas chromatography-mass spectrometry (GC-MS) for treatment monitoring of children with CAH.Methods We evaluated 24-h urinary steroid metabolome analyses of 109 prepubertal children aged 7.0 ± 1.6 years with classic CAH due to 21-hydroxylase deficiency treated with hydrocortisone and fludrocortisone. 24-h urinary steroid metabolite excretions were transformed into CAH-specific z-scores. Subjects were divided into groups (metabotypes) by k-means clustering algorithm. Urinary steroid metabolome and clinical data of patients of each metabotype were analyzed.Results Four unique metabotypes were generated. Metabotype 1 (N = 21 (19%)) revealed adequate metabolic control with low cortisol metabolites (mean: -0.57z) and suppressed androgen and 17α-hydroxyprogesterone (17OHP) metabolites (-0.79z). Metabotype 2 (N = 23 (21%)) showed overtreatment consisting of a constellation of elevated urinary cortisol metabolites (0.62z) and low metabolites of androgens and 17OHP (-0.75z). Metabotype 3 (N = 32 (29%)) demonstrated undertreated patients with low cortisol metabolites (-0.69z) and elevated metabolites of androgens and 17OHP (0.50z). Metabotype 4 (N = 33 (30%)) presented patients with treatment failure reflected by unsuppressed androgen- and 17OHP metabolites (0.71z) despite elevated urinary cortisol metabolites (0.39z).Conclusion Metabotyping, which means grouping metabolically similar individuals, helps to monitor treatment of children with CAH using GC-MS urinary steroid metabolome analysis. This method allows classification in adequately-, over-, or undertreated children as well as identification of patients with treatment failure.

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Crossref · 10.1016/j.metabol.2020.154354

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References 31 · Cited by 28

Authors
Kamrath, C., Hartmann, M. F., Pons-Kühnemann, J., & Wudy, S. A.
Affiliations
Justus-Liebig-Universität Gießen (DE)
Corresponding author
Wudy, Stefan A.
Venue
Metabolism
Publisher
Elsevier BV
Published
2020-11
Volume
112
Pages
154354
ISSN
0026-0495 (ISSN-L)
OpenAlex
W3084294768
Cited by
28
References
31
Citations by year
2026: 1 · 2025: 6 · 2024: 6 · 2023: 8 · 2022: 3 · 2021: 4
FWCI
1.22
Type
journal article
Language
en
Open access
closed
Locations
  • Metabolism (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Sexual Differentiation and Disorders
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adrenal Hormones and Disorders
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Clinical Biochemistry › Metabolism and Genetic Disorders
Keywords
congenital adrenal hyperplasia, 21-hydroxylase deficiency, treatment monitoring, cortisol, fludrocortisone, cortisol metabolites, androgen metabolites, 17-hydroxyprogesterone, overtreatment, undertreatment, treatment failure, children
MeSH terms
Adrenal Hyperplasia, Congenital, Anti-Inflammatory Agents, Child, Child, Preschool, Female, Fludrocortisone, Humans, Hydrocortisone, Male, Gas Chromatography-Mass Spectrometry, Retrospective Studies, Metabolome

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