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Lipidomics reveals altered biosynthetic pathways of glycerophospholipids and cell signaling as biomarkers of the polycystic ovary syndrome

PURPOSE: In this work, a non-targeted approach was used to unravel changes in the plasma lipidome of PCOS patients. The aim is to offer new insights in PCOS patients strictly selected in order to avoid confounding factors such as dyslipemia, obesity, altered glucose/insulin metabolism, cardiovascula...

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Autores principales: Jové, Mariona, Pradas, Irene, Naudí, Alba, Rovira-Llopis, Susana, Bañuls, Celia, Rocha, Milagros, Portero-Otin, Manuel, Hernández-Mijares, Antonio, Victor, Victor M., Pamplona, Reinald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796992/
https://www.ncbi.nlm.nih.gov/pubmed/29435121
http://dx.doi.org/10.18632/oncotarget.23393
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author Jové, Mariona
Pradas, Irene
Naudí, Alba
Rovira-Llopis, Susana
Bañuls, Celia
Rocha, Milagros
Portero-Otin, Manuel
Hernández-Mijares, Antonio
Victor, Victor M.
Pamplona, Reinald
author_facet Jové, Mariona
Pradas, Irene
Naudí, Alba
Rovira-Llopis, Susana
Bañuls, Celia
Rocha, Milagros
Portero-Otin, Manuel
Hernández-Mijares, Antonio
Victor, Victor M.
Pamplona, Reinald
author_sort Jové, Mariona
collection PubMed
description PURPOSE: In this work, a non-targeted approach was used to unravel changes in the plasma lipidome of PCOS patients. The aim is to offer new insights in PCOS patients strictly selected in order to avoid confounding factors such as dyslipemia, obesity, altered glucose/insulin metabolism, cardiovascular disease, or cancer. RESULTS: Multivariate statistics revealed a specific lipidomic signature for PCOS patients without associated pathologies. This signature implies changes, mainly by down-regulation, in glycerolipid, glycerophospholipid and sphingolipid metabolism suggesting an altered biosynthetic pathway of glycerophospholipids and cell signaling as second messengers in women with PCOS. CONCLUSIONS: Our study confirms that a lipidomic approach discriminates a specific phenotype from PCOS women without associated pathologies from healthy controls. METHODS: In a cross-sectional pilot study, data were obtained from 34 subjects, allocated to one of two groups: a) lean, healthy controls (n = 20), b) PCOS patients (n = 14) with diagnosis based on hyperandrogenaemia, oligo-anovulation and abnormal ovaries with small follicular cysts. A detailed biochemical characterization was made and lipidomic profiling was performed via an untargeted approach using LC-ESI-QTOF MS/MS.
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spelling pubmed-57969922018-02-12 Lipidomics reveals altered biosynthetic pathways of glycerophospholipids and cell signaling as biomarkers of the polycystic ovary syndrome Jové, Mariona Pradas, Irene Naudí, Alba Rovira-Llopis, Susana Bañuls, Celia Rocha, Milagros Portero-Otin, Manuel Hernández-Mijares, Antonio Victor, Victor M. Pamplona, Reinald Oncotarget Research Paper PURPOSE: In this work, a non-targeted approach was used to unravel changes in the plasma lipidome of PCOS patients. The aim is to offer new insights in PCOS patients strictly selected in order to avoid confounding factors such as dyslipemia, obesity, altered glucose/insulin metabolism, cardiovascular disease, or cancer. RESULTS: Multivariate statistics revealed a specific lipidomic signature for PCOS patients without associated pathologies. This signature implies changes, mainly by down-regulation, in glycerolipid, glycerophospholipid and sphingolipid metabolism suggesting an altered biosynthetic pathway of glycerophospholipids and cell signaling as second messengers in women with PCOS. CONCLUSIONS: Our study confirms that a lipidomic approach discriminates a specific phenotype from PCOS women without associated pathologies from healthy controls. METHODS: In a cross-sectional pilot study, data were obtained from 34 subjects, allocated to one of two groups: a) lean, healthy controls (n = 20), b) PCOS patients (n = 14) with diagnosis based on hyperandrogenaemia, oligo-anovulation and abnormal ovaries with small follicular cysts. A detailed biochemical characterization was made and lipidomic profiling was performed via an untargeted approach using LC-ESI-QTOF MS/MS. Impact Journals LLC 2017-12-17 /pmc/articles/PMC5796992/ /pubmed/29435121 http://dx.doi.org/10.18632/oncotarget.23393 Text en Copyright: © 2018 Jové et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Research Paper
Jové, Mariona
Pradas, Irene
Naudí, Alba
Rovira-Llopis, Susana
Bañuls, Celia
Rocha, Milagros
Portero-Otin, Manuel
Hernández-Mijares, Antonio
Victor, Victor M.
Pamplona, Reinald
Lipidomics reveals altered biosynthetic pathways of glycerophospholipids and cell signaling as biomarkers of the polycystic ovary syndrome
title Lipidomics reveals altered biosynthetic pathways of glycerophospholipids and cell signaling as biomarkers of the polycystic ovary syndrome
title_full Lipidomics reveals altered biosynthetic pathways of glycerophospholipids and cell signaling as biomarkers of the polycystic ovary syndrome
title_fullStr Lipidomics reveals altered biosynthetic pathways of glycerophospholipids and cell signaling as biomarkers of the polycystic ovary syndrome
title_full_unstemmed Lipidomics reveals altered biosynthetic pathways of glycerophospholipids and cell signaling as biomarkers of the polycystic ovary syndrome
title_short Lipidomics reveals altered biosynthetic pathways of glycerophospholipids and cell signaling as biomarkers of the polycystic ovary syndrome
title_sort lipidomics reveals altered biosynthetic pathways of glycerophospholipids and cell signaling as biomarkers of the polycystic ovary syndrome
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5796992/
https://www.ncbi.nlm.nih.gov/pubmed/29435121
http://dx.doi.org/10.18632/oncotarget.23393
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