Literature DB >> 22122603

Challenges and benefits of endogenous steroid analysis by LC-MS/MS.

Lewis Couchman1, Royce P Vincent, Lea Ghataore, Caje F Moniz, Norman F Taylor.   

Abstract

Quantification of endogenous hormonal steroids and their precursors is essential for diagnosing a wide range of endocrine disorders. Historically, these analyses have been carried out using immunoassay, but such methods are problematic, especially for low-concentration analytes, due to assay interference by other endogenous steroids. MS offers improved specificity over immunoassay and can be highly sensitive. GC-MS, with use of stable isotopically labeled internal standards, is considered the 'gold standard' method for serum steroid analysis. GC-MS is the method of choice for profiling steroid metabolites in urine, but these techniques are not appropriate for routine use in clinical laboratories owing to a need for extensive sample preparation, as well as analytical expertise. LC-MS/MS compares well to GC-MS in terms of accuracy, precision and sensitivity, but allows simplified sample preparation. While most publications have featured only one or a limited number of steroids, we consider that steroid paneling (which we propose as the preferred term for multitargeted steroid analysis) has great potential to enable clinicians to make a definitive diagnosis. It is adaptable for use in a number of matrices, including serum, saliva and dried blood spots. However, LC-MS/MS-based steroid analysis is not straightforward, and understanding the chemical and analytical processes involved is essential for implementation of a robust clinical service. This article discusses specific challenges in the measurement of endogenous steroids using LC-MS/MS, and provides examples of the benefits it offers.

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Year:  2011        PMID: 22122603     DOI: 10.4155/bio.11.254

Source DB:  PubMed          Journal:  Bioanalysis        ISSN: 1757-6180            Impact factor:   2.681


  7 in total

1.  Mass spectrometry combinations for structural characterization of sulfated-steroid metabolites.

Authors:  Yuetian Yan; Don L Rempel; Timothy E Holy; Michael L Gross
Journal:  J Am Soc Mass Spectrom       Date:  2014-05       Impact factor: 3.109

2.  Validation of highly sensitive simultaneous targeted and untargeted analysis of keto-steroids by Girard P derivatization and stable isotope dilution-liquid chromatography-high resolution mass spectrometry.

Authors:  Alexander J Frey; Qingqing Wang; Christine Busch; Daniel Feldman; Lisa Bottalico; Clementina A Mesaros; Ian A Blair; Anil Vachani; Nathaniel W Snyder
Journal:  Steroids       Date:  2016-10-13       Impact factor: 2.668

3.  Separation of dansylated 17β-estradiol, 17α-estradiol, and estrone on a single HPLC column for simultaneous quantitation by LC-MS/MS.

Authors:  Szabolcs Szarka; Vien Nguyen; Laszlo Prokai; Katalin Prokai-Tatrai
Journal:  Anal Bioanal Chem       Date:  2013-02-01       Impact factor: 4.142

4.  Bioanalytical LC-MS Method for the Quantification of Plasma Androgens and Androgen Glucuronides in Breast Cancer.

Authors:  Eleni Kalogera; Constantinos Pistos; Xeni Provatopoulou; Costas A Christophi; George C Zografos; Maria Stefanidou; Chara Spiliopoulou; Sotirios Athanaselis; Antonia Gounaris
Journal:  J Chromatogr Sci       Date:  2016-01-12       Impact factor: 1.618

Review 5.  Ultra-high sensitivity analysis of estrogens for special populations in serum and plasma by liquid chromatography-mass spectrometry: Assay considerations and suggested practices.

Authors:  Qingqing Wang; Clementina Mesaros; Ian A Blair
Journal:  J Steroid Biochem Mol Biol       Date:  2016-01-06       Impact factor: 4.292

6.  A Novel Targeted Analysis of Peripheral Steroids by Ultra-Performance Supercritical Fluid Chromatography Hyphenated to Tandem Mass Spectrometry.

Authors:  Neil de Kock; Santosh R Acharya; S J Kumari A Ubhayasekera; Jonas Bergquist
Journal:  Sci Rep       Date:  2018-11-19       Impact factor: 4.379

7.  Optimization of mass spectrometry settings for steroidomic analysis in young and old killifish.

Authors:  Rahel Dabrowski; Roberto Ripa; Christian Latza; Andrea Annibal; Adam Antebi
Journal:  Anal Bioanal Chem       Date:  2020-04-24       Impact factor: 4.142

  7 in total

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