Lipidomic analysis of plasma samples from women with polycystic ovary syndrome

Haoula, Zeina and Ravipati, Srinivasarao and Stekel, Dov J. and Ortori, Catharine A. and Hodgman, Charlie and Daykin, Clare and Raine-Fenning, Nick and Barrett, David A. and Atiomo, William (2015) Lipidomic analysis of plasma samples from women with polycystic ovary syndrome. Metabolomics, 11 . pp. 657-666. ISSN 1573-3890

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Abstract

Abstract Polycystic ovary syndrome (PCOS) is a common disorder affecting between 5 and 18 % of females of reproductive age and can be diagnosed based on a combination of clinical, ultrasound and biochemical features, none of which on its own is diagnostic. A lipidomic approach using liquid chromatography coupled with accurate mass high-resolution mass-spectrometry (LCHRMS) was used to investigate if there were any differences in plasma lipidomic profiles in women with PCOS compared with control women at different stages of menstrual cycle. Plasma samples from 40 women with PCOS and 40 controls aged between 18 and 40 years were analysed in combination with multivariate statistical analyses. Multivariate data analysis (LASSO regression and OPLSDA) of the sample lipidomics datasets showed a weak prediction model for PCOS versus control samples from the follicular and mid-cycle phases of the menstrual cycle, but a stronger model (specificity 85 % and sensitivity 95 %) for PCOS versus the luteal phase menstrual cycle controls. The PCOS vs luteal phase model showed increased levels of plasma triglycerides and sphingomyelins and decreased levels of lysophosphatidylcholines and phosphatidylethanolamines in PCOS women compared with controls. Lipid biomarkers of PCOS were tentatively identified which may be useful in distinguishing PCOS from controls especially when performed during the menstrual cycle luteal phase.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/753290
Keywords: Polycystic ovary syndrome, Lipidomics, Biomarkers, Menstrual cycle
Schools/Departments: University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Child Health, Obstetrics and Gynaecology
Identification Number: https://doi.org/10.1007/s11306-014-0726-y
Depositing User: Atiomo, William
Date Deposited: 27 Oct 2016 13:44
Last Modified: 04 May 2020 17:09
URI: http://eprints.nottingham.ac.uk/id/eprint/37979

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