Literature DB >> 15241734

Gas chromatography-mass spectrometry profiling of steroids in times of molecular biology.

S A Wudy1, M F Hartmann.   

Abstract

This review's aim is to outline the potential of gas chromatography-mass spectrometry profiling of steroids in the diagnosis of endogenous human steroid disorders. Mass spectrometry currently provides the highest specificity in clinical steroid analysis. The non-invasive and non-selective GC-MS urinary steroid profiling technique enables diagnosis of almost any adrenal enzyme defects in steroid biosynthesis. While enzymatic defects can be diagnosed from spot urine samples in most cases, analysis of 24-hr urinary samples permits determination of hormonal excretion rates or enables diagnostic or therapeutic monitoring of steroid related diseases. Profiling plasma steroids by isotope dilution/GC-MS is particularly suitable where only minimal plasma samples are available and/or the highest specificity is required; therefore, GC-MS steroid profiling presents a complementary analytical technique whenever highest specificity is required. Clinical GC-MS profiling of steroids is also highly recommended as a reasonable initial diagnostic approach--especially in unclear situations--avoiding uncritical and expensive attempts at molecular diagnostic testing.

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Year:  2004        PMID: 15241734     DOI: 10.1055/s-2004-814565

Source DB:  PubMed          Journal:  Horm Metab Res        ISSN: 0018-5043            Impact factor:   2.936


  9 in total

1.  SERKAL syndrome: an autosomal-recessive disorder caused by a loss-of-function mutation in WNT4.

Authors:  Hannah Mandel; Revital Shemer; Zvi U Borochowitz; Marina Okopnik; Carlos Knopf; Margarita Indelman; Arie Drugan; Dov Tiosano; Ruth Gershoni-Baruch; Mordechai Choder; Eli Sprecher
Journal:  Am J Hum Genet       Date:  2008-01       Impact factor: 11.025

Review 2.  Mass spectrometry techniques in the survey of steroid metabolites as potential disease biomarkers: a review.

Authors:  Maria João Gouveia; Paul J Brindley; Lúcio Lara Santos; José Manuel Correia da Costa; Paula Gomes; Nuno Vale
Journal:  Metabolism       Date:  2013-05-07       Impact factor: 8.694

Review 3.  Diagnosis of diseases of steroid hormone production, metabolism and action.

Authors:  John W Honour
Journal:  J Clin Res Pediatr Endocrinol       Date:  2009-08-02

Review 4.  Steroid assays in paediatric endocrinology.

Authors:  John W Honour
Journal:  J Clin Res Pediatr Endocrinol       Date:  2010-02-01

5.  Sunitinib Inhibits Cell Proliferation and Alters Steroidogenesis by Down-Regulation of HSD3B2 in Adrenocortical Carcinoma Cells.

Authors:  Matthias Kroiss; Miriam Reuss; Dorothee Kühner; Sarah Johanssen; Melanie Beyer; Martina Zink; Michaela F Hartmann; Vivek Dhir; Stefan A Wudy; Wiebke Arlt; Silviu Sbiera; Bruno Allolio; Martin Fassnacht
Journal:  Front Endocrinol (Lausanne)       Date:  2011-09-09       Impact factor: 5.555

6.  Cortisol-Metabolizing Enzymes in Polycystic Ovary Syndrome.

Authors:  Zeev Blumenfeld; Gabi Kaidar; Nehama Zuckerman-Levin; Elena Dumin; Carlos Knopf; Ze'ev Hochberg
Journal:  Clin Med Insights Reprod Health       Date:  2016-05-05

7.  Hyperleptinemia in children with autosomal recessive spinal muscular atrophy type I-III.

Authors:  Heike Kölbel; Berthold P Hauffa; Stefan A Wudy; Anastasios Bouikidis; Adela Della Marina; Ulrike Schara
Journal:  PLoS One       Date:  2017-03-09       Impact factor: 3.240

8.  Steroid metabolomic signature of liver disease in nonsyndromic childhood obesity.

Authors:  Aneta Gawlik; Michael Shmoish; Michaela F Hartmann; Stefan A Wudy; Zbigniew Olczak; Katarzyna Gruszczynska; Ze'ev Hochberg
Journal:  Endocr Connect       Date:  2019-06       Impact factor: 3.335

9.  The Steroid Metabolome and Breast Cancer Risk in Women with a Family History of Breast Cancer: The Novel Role of Adrenal Androgens and Glucocorticoids.

Authors:  Lauren C Houghton; Renata E Howland; Ying Wei; Xinran Ma; Rebecca D Kehm; Wendy K Chung; Jeanine M Genkinger; Regina M Santella; Michaela F Hartmann; Stefan A Wudy; Mary Beth Terry
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-09-30       Impact factor: 4.090

  9 in total

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