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

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Data de publicació
2017
Autor/a
Jové Font, Mariona
Pradas Barriga, Irene
Naudí i Farré, Alba
Rovira-Llopis, Susana
Bañuls, Celia
Rocha, Milagros
Portero Otín, Manuel
Hernández-Mijares, Antonio
Victor, Victor M.
Pamplona Gras, Reinald
Citació recomanada
Jové Font, Mariona; Pradas Barriga, Irene; Naudí i Farré, Alba; Rovira-Llopis, Susana; Bañuls, Celia; Rocha, Milagros; ... Pamplona Gras, Reinald. (2017) . Lipidomics reveals altered biosynthetic pathways of glycerophospholipids and cell signaling as biomarkers of the polycystic ovary syndrome. Oncotarget, 2017, vol. 9, núm. 4, p. 4522-4536. https://doi.org/10.18632/oncotarget.23393.
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Resum
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.
URI
http://hdl.handle.net/10459.1/62603
DOI
https://doi.org/10.18632/oncotarget.23393
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Oncotarget, 2017, vol. 9, núm. 4, p. 4522-4536
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