Denver, N., Khan, S., Stasinopoulos, I., Church, C., Homer, N. Z. M., Maclean, M. R. and Andrew, R. (2019) Data for analysis of catechol estrogen metabolites in human plasma by liquid chromatography tandem mass spectrometry. Data In Brief, 23, 103740. (doi: 10.1016/j.dib.2019.103740) (PMID:31372406) (PMCID:PMC6660464)
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Abstract
Analysis of catechol estrogens (2 & 4 hydroxy-estrone and estradiol) has proven troublesome by liquid chromatography tandem mass spectrometry due to their low concentrations, short half-lives and temperature-labile nature. Derivatization to methyl piperazine analogues has been reported for a panel of 9 estrogens in, "Derivatization enhances analysis of estrogens and their bioactive metabolites in human plasma by liquid chromatography tandem mass spectrometry" (Denver et al., 2019). Data show alteration of the base catalyst in this method was required to allow detection of catechol estrogens to low levels. Data also highlight the challenges faced in chromatographic separation of isomers and isotopologues, which were partially overcome by employing an extended column length and reduced oven temperature. In addition, data analysis displayed significant matrix effects during quantitation in plasma, following solid-phase extraction, despite efficient recoveries.
Item Type: | Articles |
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Additional Information: | We would like to thank the BBSRC iCASE award (BB/N503691/1) for PhD funding and to the Graham Wilson Travel Scholarship for their award to fund commuting costs for two years of the project. We would also like to thank the Wellcome Trust (202794/Z/16/Z), NC3Rs (NC/L00108X/1) and The BHF (PG/15/63/31659 and RG/16/2/32153) for funding. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Maclean, Miss Margaret and Denver, Nina |
Authors: | Denver, N., Khan, S., Stasinopoulos, I., Church, C., Homer, N. Z. M., Maclean, M. R., and Andrew, R. |
College/School: | College of Medical Veterinary and Life Sciences > School of Cardiovascular & Metabolic Health |
Journal Name: | Data In Brief |
Publisher: | Elsevier |
ISSN: | 2352-3409 |
ISSN (Online): | 2352-3409 |
Published Online: | 08 March 2019 |
Copyright Holders: | Copyright © 2019 The Authors |
First Published: | First published in Data in Brief 23:103740 |
Publisher Policy: | Reproduced under a Creative Commons License |
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