Follicular fluid lipidomics analysis reveals altered lipid signatures in patients with polycystic ovary syndrome

Background This research investigates the metabolic profiles of follicular fluid (FF) samples from patients with polycystic ovary syndrome (PCOS) undergoing in vitro fertilisation and aims to identify diagnostic and therapeutic biomarkers for PCOS through lipidomic analysis.Methods We performed non-...

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Main Authors: Qing He, Xiaoli Guo, Wenqiang Lv, Junchao Cui, Jing Meng, Xiao Gao, Jiachen Ma, Nan Zhou, Yijuan Cao
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Journal of Obstetrics and Gynaecology
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Online Access:https://www.tandfonline.com/doi/10.1080/01443615.2024.2378489
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author Qing He
Xiaoli Guo
Wenqiang Lv
Junchao Cui
Jing Meng
Xiao Gao
Jiachen Ma
Nan Zhou
Yijuan Cao
author_facet Qing He
Xiaoli Guo
Wenqiang Lv
Junchao Cui
Jing Meng
Xiao Gao
Jiachen Ma
Nan Zhou
Yijuan Cao
author_sort Qing He
collection DOAJ
description Background This research investigates the metabolic profiles of follicular fluid (FF) samples from patients with polycystic ovary syndrome (PCOS) undergoing in vitro fertilisation and aims to identify diagnostic and therapeutic biomarkers for PCOS through lipidomic analysis.Methods We performed non-targeted lipid analysis of FF samples from women with PCOS (n = 6) and normal controls (n = 6) using ultra-high-performance liquid chromatography–tandem mass spectrometry. Differential lipids between the two groups were screened using multidimensional statistical analysis, followed by fold change analysis and t-tests to identify potential PCOS biomarkers.Results Multivariate statistical analysis revealed significant differences in FF lipid levels between the PCOS and control groups. Five different lipids were selected as standards, with p < .05. Phosphatidylcholine (PC), the main differentially expressed lipid, was significantly increased in the FF of the POCS group and was closely related to other lipids.Conclusions Using ultra-high-performance liquid chromatography–tandem mass spectrometry, we investigated lipid biomarkers based on FF lipidomics to provide useful information for the discovery of diagnostic markers for PCOS. Our study identified five distinct lipids as potential markers of PCOS, with PC being the primary aberrant lipid found in the FF of patients with PCOS.
format Article
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institution Kabale University
issn 0144-3615
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language English
publishDate 2024-12-01
publisher Taylor & Francis Group
record_format Article
series Journal of Obstetrics and Gynaecology
spelling doaj-art-8994e79839174e808722d82a80d818622025-01-09T12:13:17ZengTaylor & Francis GroupJournal of Obstetrics and Gynaecology0144-36151364-68932024-12-0144110.1080/01443615.2024.2378489Follicular fluid lipidomics analysis reveals altered lipid signatures in patients with polycystic ovary syndromeQing He0Xiaoli Guo1Wenqiang Lv2Junchao Cui3Jing Meng4Xiao Gao5Jiachen Ma6Nan Zhou7Yijuan Cao8Affiliated Xuzhou Clinical College of Xuzhou Medical University, Xuzhou Medical University, Xuzhou, ChinaCollege of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, ChinaCollege of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, ChinaCollege of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, ChinaCollege of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, ChinaCollege of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, ChinaCollege of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, ChinaCollege of Pharmacy, Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, ChinaAffiliated Xuzhou Clinical College of Xuzhou Medical University, Xuzhou Medical University, Xuzhou, ChinaBackground This research investigates the metabolic profiles of follicular fluid (FF) samples from patients with polycystic ovary syndrome (PCOS) undergoing in vitro fertilisation and aims to identify diagnostic and therapeutic biomarkers for PCOS through lipidomic analysis.Methods We performed non-targeted lipid analysis of FF samples from women with PCOS (n = 6) and normal controls (n = 6) using ultra-high-performance liquid chromatography–tandem mass spectrometry. Differential lipids between the two groups were screened using multidimensional statistical analysis, followed by fold change analysis and t-tests to identify potential PCOS biomarkers.Results Multivariate statistical analysis revealed significant differences in FF lipid levels between the PCOS and control groups. Five different lipids were selected as standards, with p < .05. Phosphatidylcholine (PC), the main differentially expressed lipid, was significantly increased in the FF of the POCS group and was closely related to other lipids.Conclusions Using ultra-high-performance liquid chromatography–tandem mass spectrometry, we investigated lipid biomarkers based on FF lipidomics to provide useful information for the discovery of diagnostic markers for PCOS. Our study identified five distinct lipids as potential markers of PCOS, with PC being the primary aberrant lipid found in the FF of patients with PCOS.https://www.tandfonline.com/doi/10.1080/01443615.2024.2378489Polycystic ovary syndromelipidomicsbiomarkersfollicular fluidultra-high-performance liquid chromatography–tandem mass spectrometry
spellingShingle Qing He
Xiaoli Guo
Wenqiang Lv
Junchao Cui
Jing Meng
Xiao Gao
Jiachen Ma
Nan Zhou
Yijuan Cao
Follicular fluid lipidomics analysis reveals altered lipid signatures in patients with polycystic ovary syndrome
Journal of Obstetrics and Gynaecology
Polycystic ovary syndrome
lipidomics
biomarkers
follicular fluid
ultra-high-performance liquid chromatography–tandem mass spectrometry
title Follicular fluid lipidomics analysis reveals altered lipid signatures in patients with polycystic ovary syndrome
title_full Follicular fluid lipidomics analysis reveals altered lipid signatures in patients with polycystic ovary syndrome
title_fullStr Follicular fluid lipidomics analysis reveals altered lipid signatures in patients with polycystic ovary syndrome
title_full_unstemmed Follicular fluid lipidomics analysis reveals altered lipid signatures in patients with polycystic ovary syndrome
title_short Follicular fluid lipidomics analysis reveals altered lipid signatures in patients with polycystic ovary syndrome
title_sort follicular fluid lipidomics analysis reveals altered lipid signatures in patients with polycystic ovary syndrome
topic Polycystic ovary syndrome
lipidomics
biomarkers
follicular fluid
ultra-high-performance liquid chromatography–tandem mass spectrometry
url https://www.tandfonline.com/doi/10.1080/01443615.2024.2378489
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