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

Yihong Jiang; Jia Qi; Xinli Xue; Rong Huang; Jun Zheng; Wei Liu; Huiyong Yin; Shengxian Li

doi:10.1080/09513590.2019.1698026

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

Yihong Jiang
, Jia Qi
, Xinli Xue
, Rong Huang
, Jun Zheng
, Wei Liu
, Huiyong Yin^*
, Shengxian Li^*

^*Corresponding author for this work

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

24 Citations (Scopus)

Abstract

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. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

Original language	English
Pages (from-to)	508-512
Journal	Gynecological Endocrinology
Volume	36
Issue number	6
Online published	3 Dec 2019
DOIs	https://doi.org/10.1080/09513590.2019.1698026
Publication status	Published - 2020
Externally published	Yes

Funding

This work was supported by the National Natural Science Foundation of China under Grant (No. 81471029, No. 81671518, No. 91857112, No. 31671231), National Key R&D Program of China administered by Chinese Ministry of Science and Technology (MOST) (No. 2016YFD0400205) and Ministry of Science and Technology of the People's Republic of China.

Research Keywords

ceramide
insulin resistance
Polycystic ovary syndrome
shotgun lipidomics

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10.1080/09513590.2019.1698026

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@article{9919485e4b274d9d97756d8dff66ff84,

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

abstract = "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. {\textcopyright} 2019, {\textcopyright} 2019 Informa UK Limited, trading as Taylor \& Francis Group.",

keywords = "ceramide, insulin resistance, Polycystic ovary syndrome, shotgun lipidomics",

author = "Yihong Jiang and Jia Qi and Xinli Xue and Rong Huang and Jun Zheng and Wei Liu and Huiyong Yin and Shengxian Li",

year = "2020",

doi = "10.1080/09513590.2019.1698026",

language = "English",

volume = "36",

pages = "508--512",

journal = "Gynecological Endocrinology",

issn = "0951-3590",

publisher = "Taylor \& Francis",

number = "6",

}

Ceramide subclasses identified as novel lipid biomarker elevated in women with polycystic ovary syndrome: a pilot study employing shotgun lipidomics. / Jiang, Yihong; Qi, Jia; Xue, Xinli et al.
In: Gynecological Endocrinology, Vol. 36, No. 6, 2020, p. 508-512.

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

TY - JOUR

T1 - Ceramide subclasses identified as novel lipid biomarker elevated in women with polycystic ovary syndrome

T2 - a pilot study employing shotgun lipidomics

AU - Jiang, Yihong

AU - Qi, Jia

AU - Xue, Xinli

AU - Huang, Rong

AU - Zheng, Jun

AU - Liu, Wei

AU - Yin, Huiyong

AU - Li, Shengxian

PY - 2020

Y1 - 2020

N2 - 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. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

AB - 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. © 2019, © 2019 Informa UK Limited, trading as Taylor & Francis Group.

KW - ceramide

KW - insulin resistance

KW - Polycystic ovary syndrome

KW - shotgun lipidomics

UR - https://www.scopus.com/pages/publications/85075911050

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U2 - 10.1080/09513590.2019.1698026

DO - 10.1080/09513590.2019.1698026

M3 - RGC 21 - Publication in refereed journal

C2 - 31793360

SN - 0951-3590

VL - 36

SP - 508

EP - 512

JO - Gynecological Endocrinology

JF - Gynecological Endocrinology

IS - 6

ER -

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

Abstract

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