Ceramide subclasses identified as novel lipid biomarker elevated in women with polycystic ovary syndrome: a pilot study employing shotgun lipidomics

This study aimed to identify potential lipid biomarkers in women with polycystic ovary syndrome (PCOS) and determine their predictive value for PCOS. Eighteen women with PCOS and 17 healthy controls were enrolled. A multi-dimensional mass spectrometry-based shotgun lipidomics approach was employed t...

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Bibliographic Details
Published in:Gynecological endocrinology Vol. 36; no. 6; pp. 508 - 512
Main Authors: Jiang, Yihong, Qi, Jia, Xue, Xinli, Huang, Rong, Zheng, Jun, Liu, Wei, Yin, Huiyong, Li, Shengxian
Format: Journal Article
Language:English
Published: England Taylor & Francis 02.06.2020
Subjects:
Adolescent
Adult
Biomarkers - blood
Case-Control Studies
ceramide
Ceramides - blood
Ceramides - classification
China
Cross-Sectional Studies
Female
Humans
insulin resistance
Lipidomics - methods
Lipids - blood
Pilot Projects
Polycystic ovary syndrome
Polycystic Ovary Syndrome - blood
Polycystic Ovary Syndrome - diagnosis
Predictive Value of Tests
shotgun lipidomics
Up-Regulation
Young Adult
China
Polycystic ovary syndrome
ceramide
shotgun lipidomics
insulin resistance
ISSN:0951-3590, 1473-0766, 1473-0766
Online Access:Get full text
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Summary:This study aimed to identify potential lipid biomarkers in women with polycystic ovary syndrome (PCOS) and determine their predictive value for PCOS. Eighteen women with PCOS and 17 healthy controls were enrolled. A multi-dimensional mass spectrometry-based shotgun lipidomics approach was employed to analyze serum lipid profiles. Shotgun lipidomics revealed that the concentrations of ceramide (Cer) and phosphatidylcholine (PC) were higher (PC: 831.6 ± 217.4 vs. 605.2 ± 164.2 μmol/l; Cer: 3,387.6 ± 829.9 vs. 2,552.2 ± 679.4 nmol/l, respectively), whereas that of lysophosphatidylcholine was lower, in PCOS women than in healthy controls (82.02 ± 39.49 vs. 133.62 ± 65.36 μmol/l, respectively). Receiver operating characteristic analysis showed that the combination of Cer (OH_N16:0/N18:0) and Cer (N22:0) had the greatest discriminatory power to differentiate between women with and without PCOS (area under the curve: 0.889, 95% confidence interval: 0.784-0.994). These results indicate that the combination of Cer (OH_N16:0/N18:0) and Cer (N22:0) may represent a novel lipid predictor of PCOS.
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ISSN:0951-3590
1473-0766
1473-0766
DOI:10.1080/09513590.2019.1698026