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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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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. |
format | Online Article Text |
id | pubmed-5796992 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
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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