Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/336943
Type: Artigo
Title: Understanding mechanisms of oocyte development by follicular fluid lipidomics
Author: Montani, Daniela Antunes
de Almeida Ferreira Braga, Daniela Paes
Borges, Edson, Jr.
Camargo, Mariana
Bertuccez Cordeiro, Fernanda
Pilau, Eduardo Jorge
Gozzo, Fabio Cesar
Fraietta, Renato
Lo Turco, Edson Guimaraes
Abstract: PurposeThe present study aimed to provide a non-invasive approach to studying mechanisms responsible for oocyte development.MethodsTo this end, follicular fluid (FF) from 62 patients undergoing in vitro fertilization (IVF) cycles was split into two groups depending on the pregnancy outcome: pregnant (n=28) and non-pregnant (n=34) groups. Data were acquired by the MALDI-TOF mass spectrometry. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were applied to the data set. A ROC curve, to predict success rate, was constructed, and the lipids were attributed.ResultsSix ions were differentially represented in FF of pregnant and non-pregnant patients, with an area under the curve of 0.962. Phosphatidic acid, phosphatidylglycerol, and triacylglycerol were hyper-represented in the pregnant group, while glucosylceramide was hyper-represented in the non-pregnant group. Enriched functions related to these lipids are steroidogenesis, cellular response, signal transduction, cell cycle, and activation of protein kinase C for the pregnant group and apoptosis inhibition for the non-pregnant group.ConclusionHuman FF fingerprinting can both improve the understanding concerning mechanisms responsible for oocyte development and its effect on embryo implantation potential and assist in the management of IVF cycles
Subject: Gravidez
Espectrometria de massa
Metabolômica
Country: Estados Unidos
Editor: Springer
Rights: Fechado
Identifier DOI: 10.1007/s10815-019-01428-7
Address: https://link.springer.com/article/10.1007%2Fs10815-019-01428-7
Date Issue: 2019
Appears in Collections:IQ - Artigos e Outros Documentos

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