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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

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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 Medicine and Surgery

David A. Barrett

William Atiomo



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.

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

Journal Article Type Article
Acceptance Date Aug 9, 2014
Online Publication Date Aug 17, 2014
Publication Date 2015-06
Deposit Date Oct 27, 2016
Publicly Available Date Oct 27, 2016
Journal Metabolomics
Electronic ISSN 1573-3890
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 11
Issue 3
Pages 657-666
DOI https://doi.org/10.1007/s11306-014-0726-y
Keywords Polycystic ovary syndrome, Lipidomics, Biomarkers, Menstrual cycle
Public URL https://nottingham-repository.worktribe.com/output/753290
Publisher URL http://link.springer.com/article/10.1007/s11306-014-0726-y
Contract Date Oct 27, 2016

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