Cited by 236Adrenal Hormones and DisordersMass Spectrometry Techniques and ApplicationsMetabolomics and Mass Spectrometry Studies

The art of measuring steroids

Wudy, S.A., Schuler, G., Sánchez-Guijo, A., Hartmann, M.F.·2018·The Journal of Steroid Biochemistry and Molecular Biology

Abstract

Steroids are small and highly important structural or signalling molecules in living organisms and their metabolism is complex. Due to the multiplicity of enzymes involved there are many different steroid related disorders. E.g., an individual enzyme defect is rather rare but can share various clinical symptoms and can thus be hardly diagnosed clinically. Therefore, reliable hormonal determination still presents the most reasonable initial diagnostic approach and helps to avoid uncritical and expensive attempts at molecular diagnostic testing. It also presents a backbone of monitoring these complex patients. In science, reliable hormone measurement is indispensable for the elucidation of new mechanisms of steroid hormone actions. Steroid analytics is highly challenging and should never be considered trivial. Most common methods for steroid determination comprise traditionally immunoassay, or more recently, mass spectrometry based methods. It is absolutely necessary that clinicians and scientists know the methods they are applying by heart. With the introduction of automated direct assays, a loss of quality could be observed over the last two decades in the field of steroid immunoassays. This review wants to meet the need for profound information and orientation in the field of steroid analysis. The pros and cons of the most important methods, such as immunoassays and mass spectrometry based methods will be discussed. The focus of the latter will lie on gas chromatography-mass spectrometry (GC-MS) as well as liquid chromatography-mass spectrometry (LC-MS). Selected analytical applications from our Deutsche Forschungsgemeinschaft Research Group FOR 1369 "Sulfated Steroids in Reproduction" will illustrate the contents. In brief, immunoassays have for long presented the traditional technique for steroid analysis. They are easy to set up. Only one analyte can be measured per immunoassay. Specificity problems can arise and caution has to be exerted especially regarding direct assays lacking purification steps. Mass spectrometry based methods provide structural information on the analyte and thus higher specificity. In combination with chromatographic techniques, they permit the simultaneous determination of a multitude of analytes. Highest specificity can be obtained using GC-MS, a sophisticated but most powerful tool for characterizing steroid metabolomes. LC-MS is a true high throughput technique and highly suited for detecting complex steroids. GC-MS and LC-MS are not competing but complementary techniques. Since reliable steroid determination requires extremely high expertise in the field of analytics as well as steroid biochemistry, it is recommended that collaborations and networking with highly specialized centers of expertise are developed.

Integrity signals

Registry

Crossref · 10.1016/j.jsbmb.2017.09.003

Cites

121 of 121 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Several studies of genotyping of samples from screening programs have suggested that this is a potentially useful adjunct to hormonal measurements, but there has been no large-scale study of its efficacy as a second-tier screen in actual use.

    “Several studies of genotyping of samples from screening programs have suggested that this is a potentially useful adjunct to hormonal measurements (277-282), but there has been no large-scale study of its efficacy as a second-tier screen in actual use.”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Wudy, S. A., Schuler, G., Sánchez-Guijo, A., & Hartmann, M. F.
Affiliations
Justus-Liebig-Universität Gießen (DE)
Corresponding author
Wudy, S.A.
Venue
The Journal of Steroid Biochemistry and Molecular Biology
Publisher
Elsevier BV
Published
2018-05
Volume
179
Pages
88-103
ISSN
0960-0760 (ISSN-L)
OpenAlex
W2757515646
Cited by
236
References
121
Citations by year
2026: 19 · 2025: 31 · 2024: 26 · 2023: 30 · 2022: 30 · 2021: 21 · 2020: 39 · 2019: 22 · 2018: 16 · 2017: 1
FWCI
3.11
Type
journal article
Language
en
Open access
closed
Locations
  • The Journal of Steroid Biochemistry and Molecular Biology (publishedVersion)
  • PubMed (publishedVersion)
Funders
German Research Foundation (DFG)
Topics
  • Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adrenal Hormones and Disorders
  • Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
Keywords
steroid hormone measurement, immunoassay, mass spectrometry, gas chromatography-mass spectrometry, liquid chromatography-mass spectrometry, steroid metabolome, steroid sulfates, reproductive steroids, analytical specificity
MeSH terms
Animals, Chromatography, Liquid, Humans, Immunoassay, Gas Chromatography-Mass Spectrometry, Radioisotope Dilution Technique, Mass Spectrometry, Steroids, Reproducibility of Results, Tandem Mass Spectrometry, Metabolomics

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review