title: Lipidomic analysis of plasma samples from women with polycystic ovary syndrome.
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 (LC-HRMS) 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 OPLS-DA) 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.
authors.affiliation: School of Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, NG7 2UH UK.
authors.forename: Zeina
authors.initials: Z
authors.lastname: Haoula
authors.affiliation: Centre for Analytical Bioscience, School of Pharmacy, University of Nottingham, Nottingham, UK.
authors.forename: Srinivasarao
authors.initials: S
authors.lastname: Ravipati
authors.affiliation: School of Biosciences, University of Nottingham, Nottingham, LE12 5RD UK.
authors.forename: Dov J
authors.initials: DJ
authors.lastname: Stekel
authors.affiliation: Centre for Analytical Bioscience, School of Pharmacy, University of Nottingham, Nottingham, UK.
authors.forename: Catharine A
authors.initials: CA
authors.lastname: Ortori
authors.affiliation: School of Biosciences, University of Nottingham, Nottingham, LE12 5RD UK.
authors.forename: Charlie
authors.initials: C
authors.lastname: Hodgman
authors.affiliation: Centre for Analytical Bioscience, School of Pharmacy, University of Nottingham, Nottingham, UK ; MetaboConsult UK, Derby, UK.
authors.forename: Clare
authors.initials: C
authors.lastname: Daykin
authors.affiliation: School of Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, NG7 2UH UK.
authors.forename: Nick
authors.initials: N
authors.lastname: Raine-Fenning
authors.affiliation: Centre for Analytical Bioscience, School of Pharmacy, University of Nottingham, Nottingham, UK.
authors.forename: David A
authors.initials: DA
authors.lastname: Barrett
authors.affiliation: School of Medicine, Queen's Medical Centre, University of Nottingham, Nottingham, NG7 2UH UK.
authors.forename: William
authors.initials: W
authors.lastname: Atiomo
keywords: Biomarkers; Lipidomics; Menstrual cycle; Polycystic ovary syndrome