Skip to main content

Research Repository

Advanced Search

Lipidomic analysis of plasma samples from women with polycystic ovary syndrome

Haoula, Zeina; Ravipati, Srinivasarao; Stekel, Dov J.; Ortori, Catharine A.; Hodgman, Charlie; Daykin, Clare; Raine-Fenning, Nick; Barrett, David A.; Atiomo, William

Authors

Zeina Haoula

Srinivasarao Ravipati

DOV STEKEL DOV.STEKEL@NOTTINGHAM.AC.UK
Professor of Computational Biology

Catharine A. Ortori

Charlie Hodgman

Clare Daykin

NICK RAINE-FENNING Nick.Raine-fenning@nottingham.ac.uk
Clinical Associate Professor &reader in Reproductive Medicineand Surgery

David A. Barrett



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.

Journal Article Type Article
Publication Date 2015-06
Journal Metabolomics
Electronic ISSN 1573-3890
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 11
Issue 3
Pages 657-666
APA6 Citation Haoula, Z., Ravipati, S., Stekel, D. J., Ortori, C. A., Hodgman, C., Daykin, C., …Atiomo, W. (2015). Lipidomic analysis of plasma samples from women with polycystic ovary syndrome. Metabolomics, 11(3), 657-666. https://doi.org/10.1007/s11306-014-0726-y
DOI https://doi.org/10.1007/s11306-014-0726-y
Keywords Polycystic ovary syndrome, Lipidomics, Biomarkers, Menstrual cycle
Publisher URL http://link.springer.com/article/10.1007/s11306-014-0726-y
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

Files

11306_2014_Article_726.pdf (758 Kb)
PDF

Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0





You might also like



Downloadable Citations

;