Literature DB >> 29495128

High-resolution multiple reaction monitoring method for quantification of steroidal hormones in plasma.

Ana Paula Ferranti Peti1, Gisele Aparecida Locachevic1, Morgana Kelly Borges Prado1, Luiz Alberto Beraldo de Moraes2, Lúcia Helena Faccioli1.   

Abstract

Multiple reaction monitoring (MRM) is one of the most powerful modes of analysis in liquid chromatographic tandem mass spectrometry for quantification of low-concentration metabolites in biological samples. The advances in mass spectrometry enabled the development of high-resolution multiple reaction monitoring (MRMHR ) and became suitable for the more specific analysis of target analytes. This is important for lipidomic studies and contributes in the medical and pharmaceutical fields, primarily in investigating alterations in cells or fluids relevant to various diseases. Therefore, this work proposes the development of the MRMHR method for quantification of circulating steroids. We focused on the determination of corticosterone, 11-dehydrocorticosterone (11-DHC), cortisol, cortisone, aldosterone, and progesterone concentration in serum, by using 129sv male mice exposed to chronic unpredictable stress to validate the quantification. The method was conducted according to the ANVISA normative, adopting a coefficient of variation, as well as relative standard deviation and relative error lower than 15% in linearity, intraday and interday precision, and accuracy. For cortisol, corticosterone, and their inert metabolites (cortisone and 11-DHC), the lower limit of quantification was 3.9 ng· mL-1 , while that for progesterone and aldosterone was 7.8 and 15.6 ng· mL-1 , respectively. MRMHR analysis showed that animals submitted to stressors have 4.5 times more corticosterone in their serum than nonstressed mice. However, 11-DHC concentration does not vary significantly in response to stress for these animals. The results indicate that the method can be applied for quantification of steroids in several biological samples, such as human plasma.
Copyright © 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  LC-MS/MS; MRM-HR; chronic stress; lipidomics; steroids

Mesh:

Substances:

Year:  2018        PMID: 29495128     DOI: 10.1002/jms.4075

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  4 in total

1.  Metabolic Profile in Plasma AND CSF of LEVODOPA-induced Dyskinesia in Parkinson's Disease: Focus on Neuroinflammation.

Authors:  Bruno L Santos-Lobato; Luiz Gustavo Gardinassi; Mariza Bortolanza; Ana Paula Ferranti Peti; Ângela V Pimentel; Lúcia Helena Faccioli; Elaine A Del-Bel; Vitor Tumas
Journal:  Mol Neurobiol       Date:  2021-12-02       Impact factor: 5.590

2.  Profiling Phenolic Composition in Pomegranate Peel From Nine Selected Cultivars Using UHPLC-QTOF-MS and UPLC-QQQ-MS.

Authors:  Guowei Man; Lei Xu; Yongtao Wang; Xiaojun Liao; Zhenzhen Xu
Journal:  Front Nutr       Date:  2022-01-24

3.  Paradoxical Effect of LTB4 on the Regulation of Stress-Induced Corticosterone Production.

Authors:  Gisele A Locachevic; Morgana K B Prado; Karina F Zoccal; Priscilla A T Pereira; Carlos A Sorgi; Mariza Bortolanza; Ana Paula F Peti; Manoela V Fogaça; Francisco S Guimarães; Elaine Del Bel; Lúcia H Faccioli
Journal:  Front Behav Neurosci       Date:  2019-04-16       Impact factor: 3.558

4.  Quantitative analysis of 11-dehydrocorticosterone and corticosterone for preclinical studies by liquid chromatography/triple quadrupole mass spectrometry.

Authors:  Manu Verma; Karen Sooy; George Just; Mark Nixon; Ruth Morgan; Ruth Andrew; Karen E Chapman; Natalie Z M Homer
Journal:  Rapid Commun Mass Spectrom       Date:  2020-02-11       Impact factor: 2.586

  4 in total

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