Cargando…

SUN-215 LC-MS-Based Profiling of Adrenal Steroids Reveals Metabolic Signatures of 17á-hydroxylase Deficiency

The comprehensive metabolic signatures of adrenal steroids are necessary to understand their pathophysiological functions in adrenal diseases, such as Cushing’s syndrome (CS) and congenital adrenal hyperplasia (CAH). The 17α-hydroxylase deficiency (17α-OHD) CAH, accounted for <1% of CAH cases, is...

Descripción completa

Detalles Bibliográficos
Autores principales: , Chaelin, Kim, Hugh I, Kim, Jung Hee, Moon, Sun Joon, Choi, Man Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446956/
http://dx.doi.org/10.1210/jendso/bvaa046.839
_version_ 1783574220945489920
author , Chaelin
Kim, Hugh I
Kim, Jung Hee
Moon, Sun Joon
Choi, Man Ho
author_facet , Chaelin
Kim, Hugh I
Kim, Jung Hee
Moon, Sun Joon
Choi, Man Ho
author_sort , Chaelin
collection PubMed
description The comprehensive metabolic signatures of adrenal steroids are necessary to understand their pathophysiological functions in adrenal diseases, such as Cushing’s syndrome (CS) and congenital adrenal hyperplasia (CAH). The 17α-hydroxylase deficiency (17α-OHD) CAH, accounted for <1% of CAH cases, is caused by mutations of CYP17A1 gene leading to impaired production of cortisol and adrenal androgens. It may be under-diagnosed in patients in whom routine screening for the early detection of CAH subtypes. A validated liquid chromatography-mass spectrometry (LC-MS)-based quantitative profiling of 27 adrenal steroids in human serum, therefore, has been developed and employed in patients with CS (n = 7) and 17α-OHD CAH (n = 1). In a patient with 17α-OHD, adrenal androgen levels were significantly decreased, especially DHEA sulfate (~1/1,000 times), while pregnenolone sulfate was increased against both healthy (n =43) and CS subjects (p < 0.001). In addition, increased mineralocorticoids and decreased glucocorticoids as well as DHEA-S/Preg-S were observed in a 17α-OHD patient, which mean DHEA-S, Preg-S, and these metabolic ratios could be good biomarkers for detecting 17α-OHD CAH in part of an overall plan of medical care. The developed LC-MS method can quantitatively profile biologically active adrenal steroids and sulfate conjugates in a single run to be a comprehensive diagnostic tool in adrenal diseases.
format Online
Article
Text
id pubmed-7446956
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-74469562020-08-28 SUN-215 LC-MS-Based Profiling of Adrenal Steroids Reveals Metabolic Signatures of 17á-hydroxylase Deficiency , Chaelin Kim, Hugh I Kim, Jung Hee Moon, Sun Joon Choi, Man Ho J Endocr Soc Adrenal The comprehensive metabolic signatures of adrenal steroids are necessary to understand their pathophysiological functions in adrenal diseases, such as Cushing’s syndrome (CS) and congenital adrenal hyperplasia (CAH). The 17α-hydroxylase deficiency (17α-OHD) CAH, accounted for <1% of CAH cases, is caused by mutations of CYP17A1 gene leading to impaired production of cortisol and adrenal androgens. It may be under-diagnosed in patients in whom routine screening for the early detection of CAH subtypes. A validated liquid chromatography-mass spectrometry (LC-MS)-based quantitative profiling of 27 adrenal steroids in human serum, therefore, has been developed and employed in patients with CS (n = 7) and 17α-OHD CAH (n = 1). In a patient with 17α-OHD, adrenal androgen levels were significantly decreased, especially DHEA sulfate (~1/1,000 times), while pregnenolone sulfate was increased against both healthy (n =43) and CS subjects (p < 0.001). In addition, increased mineralocorticoids and decreased glucocorticoids as well as DHEA-S/Preg-S were observed in a 17α-OHD patient, which mean DHEA-S, Preg-S, and these metabolic ratios could be good biomarkers for detecting 17α-OHD CAH in part of an overall plan of medical care. The developed LC-MS method can quantitatively profile biologically active adrenal steroids and sulfate conjugates in a single run to be a comprehensive diagnostic tool in adrenal diseases. Oxford University Press 2020-05-08 /pmc/articles/PMC7446956/ http://dx.doi.org/10.1210/jendso/bvaa046.839 Text en © Endocrine Society 2020. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Adrenal
, Chaelin
Kim, Hugh I
Kim, Jung Hee
Moon, Sun Joon
Choi, Man Ho
SUN-215 LC-MS-Based Profiling of Adrenal Steroids Reveals Metabolic Signatures of 17á-hydroxylase Deficiency
title SUN-215 LC-MS-Based Profiling of Adrenal Steroids Reveals Metabolic Signatures of 17á-hydroxylase Deficiency
title_full SUN-215 LC-MS-Based Profiling of Adrenal Steroids Reveals Metabolic Signatures of 17á-hydroxylase Deficiency
title_fullStr SUN-215 LC-MS-Based Profiling of Adrenal Steroids Reveals Metabolic Signatures of 17á-hydroxylase Deficiency
title_full_unstemmed SUN-215 LC-MS-Based Profiling of Adrenal Steroids Reveals Metabolic Signatures of 17á-hydroxylase Deficiency
title_short SUN-215 LC-MS-Based Profiling of Adrenal Steroids Reveals Metabolic Signatures of 17á-hydroxylase Deficiency
title_sort sun-215 lc-ms-based profiling of adrenal steroids reveals metabolic signatures of 17á-hydroxylase deficiency
topic Adrenal
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7446956/
http://dx.doi.org/10.1210/jendso/bvaa046.839
work_keys_str_mv AT chaelin sun215lcmsbasedprofilingofadrenalsteroidsrevealsmetabolicsignaturesof17ahydroxylasedeficiency
AT kimhughi sun215lcmsbasedprofilingofadrenalsteroidsrevealsmetabolicsignaturesof17ahydroxylasedeficiency
AT kimjunghee sun215lcmsbasedprofilingofadrenalsteroidsrevealsmetabolicsignaturesof17ahydroxylasedeficiency
AT moonsunjoon sun215lcmsbasedprofilingofadrenalsteroidsrevealsmetabolicsignaturesof17ahydroxylasedeficiency
AT choimanho sun215lcmsbasedprofilingofadrenalsteroidsrevealsmetabolicsignaturesof17ahydroxylasedeficiency