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Using LC-MS/MS to Determine Salivary Steroid Reference Intervals in a European Older Adult Population

A number of steroids, including glucocorticoids and sex hormones, have been associated with neurodegenerative and cardiovascular conditions common in aging populations. The application of liquid chromatography tandem mass spectrometry (LC-MS/MS) steroid analysis offers an opportunity to conduct simu...

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Autores principales: Gregory, Sarah, Denham, Scott G., Lee, Patricia, Simpson, Joanna P., Homer, Natalie Z. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963097/
https://www.ncbi.nlm.nih.gov/pubmed/36837884
http://dx.doi.org/10.3390/metabo13020265
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author Gregory, Sarah
Denham, Scott G.
Lee, Patricia
Simpson, Joanna P.
Homer, Natalie Z. M.
author_facet Gregory, Sarah
Denham, Scott G.
Lee, Patricia
Simpson, Joanna P.
Homer, Natalie Z. M.
author_sort Gregory, Sarah
collection PubMed
description A number of steroids, including glucocorticoids and sex hormones, have been associated with neurodegenerative and cardiovascular conditions common in aging populations. The application of liquid chromatography tandem mass spectrometry (LC-MS/MS) steroid analysis offers an opportunity to conduct simultaneous multiplex steroid analysis within a given sample. In this paper, we describe the application of an LC-MS/MS steroid analysis method for the assessment of reference ranges of steroids in human saliva samples (200 µL) collected from older adults (age 50 years and above) enrolled in a European cohort investigating the risk for Alzheimer’s dementia. Saliva samples were prepared using supported liquid extraction (SLE) along with a calibration curve and analysed using a Waters I-Class UPLC (Ultra Performance Liquid Chromatography) and a Sciex QTrap 6500+ mass spectrometer. Mass spectrometry parameters of steroids were optimised for each steroid and a method for the chromatographic separation of 19 steroids was developed. Lower limits of quantitation (LLOQs), linearity and other method criteria were assessed. In total, data from 125 participants (500 samples) were analysed and assessed for reference ranges (64 male, 61 female). A total of 19 steroids were detected in saliva within the range of the method. There were clear diurnal patterns in most of the steroid hormones detected. Sex differences were observed for androstenedione (A4), testosterone (T), cortisone (E) and aldosterone (Aldo). In the first sample of the day, dehydroepiandrosterone (DHEA) was significantly higher in healthy volunteers compared to those with Alzheimer’s disease biomarkers. This LC-MS/MS method is suitable for the analysis of 19 steroids in saliva in adults.
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spelling pubmed-99630972023-02-26 Using LC-MS/MS to Determine Salivary Steroid Reference Intervals in a European Older Adult Population Gregory, Sarah Denham, Scott G. Lee, Patricia Simpson, Joanna P. Homer, Natalie Z. M. Metabolites Article A number of steroids, including glucocorticoids and sex hormones, have been associated with neurodegenerative and cardiovascular conditions common in aging populations. The application of liquid chromatography tandem mass spectrometry (LC-MS/MS) steroid analysis offers an opportunity to conduct simultaneous multiplex steroid analysis within a given sample. In this paper, we describe the application of an LC-MS/MS steroid analysis method for the assessment of reference ranges of steroids in human saliva samples (200 µL) collected from older adults (age 50 years and above) enrolled in a European cohort investigating the risk for Alzheimer’s dementia. Saliva samples were prepared using supported liquid extraction (SLE) along with a calibration curve and analysed using a Waters I-Class UPLC (Ultra Performance Liquid Chromatography) and a Sciex QTrap 6500+ mass spectrometer. Mass spectrometry parameters of steroids were optimised for each steroid and a method for the chromatographic separation of 19 steroids was developed. Lower limits of quantitation (LLOQs), linearity and other method criteria were assessed. In total, data from 125 participants (500 samples) were analysed and assessed for reference ranges (64 male, 61 female). A total of 19 steroids were detected in saliva within the range of the method. There were clear diurnal patterns in most of the steroid hormones detected. Sex differences were observed for androstenedione (A4), testosterone (T), cortisone (E) and aldosterone (Aldo). In the first sample of the day, dehydroepiandrosterone (DHEA) was significantly higher in healthy volunteers compared to those with Alzheimer’s disease biomarkers. This LC-MS/MS method is suitable for the analysis of 19 steroids in saliva in adults. MDPI 2023-02-13 /pmc/articles/PMC9963097/ /pubmed/36837884 http://dx.doi.org/10.3390/metabo13020265 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gregory, Sarah
Denham, Scott G.
Lee, Patricia
Simpson, Joanna P.
Homer, Natalie Z. M.
Using LC-MS/MS to Determine Salivary Steroid Reference Intervals in a European Older Adult Population
title Using LC-MS/MS to Determine Salivary Steroid Reference Intervals in a European Older Adult Population
title_full Using LC-MS/MS to Determine Salivary Steroid Reference Intervals in a European Older Adult Population
title_fullStr Using LC-MS/MS to Determine Salivary Steroid Reference Intervals in a European Older Adult Population
title_full_unstemmed Using LC-MS/MS to Determine Salivary Steroid Reference Intervals in a European Older Adult Population
title_short Using LC-MS/MS to Determine Salivary Steroid Reference Intervals in a European Older Adult Population
title_sort using lc-ms/ms to determine salivary steroid reference intervals in a european older adult population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9963097/
https://www.ncbi.nlm.nih.gov/pubmed/36837884
http://dx.doi.org/10.3390/metabo13020265
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