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Published in: Journal of Assisted Reproduction and Genetics 12/2015

01-12-2015 | Technological Innovations

Lipidomics analysis of follicular fluid by ESI-MS reveals potential biomarkers for ovarian endometriosis

Authors: Fernanda Bertuccez Cordeiro, Thais Regiani Cataldi, Kayla Jane Perkel, Lívia do Vale Teixeira da Costa, Raquel Cellin Rochetti, Juliana Stevanato, Marcos Nogueira Eberlin, Daniel Suslik Zylbersztejn, Agnaldo Pereira Cedenho, Edson Guimarães Lo Turco

Published in: Journal of Assisted Reproduction and Genetics | Issue 12/2015

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Abstract

Purpose

The aim of the present study was to analyze the lipid profile of follicular fluid from patients with endometriosis and endometrioma who underwent in vitro fertilization treatment (IVF).

Methods

The control group (n = 10) was composed of women with tubal factor or minimal male factor infertility who had positive pregnancy outcomes after IVF. The endometriosis group consisted of women with endometriosis diagnosed by videolaparoscopy (n = 10), and from the same patients, the endometriomas fluids were collected, which composed the endometrioma group (n = 10). From the follicular fluid and endometriomas, lipids were extracted by the Bligh and Dyer method, and the samples were analyzed by tandem mass spectrometry.

Results

We observed phosphatidylglycerol phosphate, phosphatidylcholine, phosphatidylserine, and phosphatidylnositol bisphosphate in the control group. In the endometriosis group, sphingolipids and phosphatidylcholines were more abundant, while in the endometrioma group, sphingolipids and phosphatidylcholines with different m/z from the endometriosis group were found in high abundance.

Conclusion

This analysis demonstrated that there is a differential representation of these lipids according to their respective groups. In addition, the lipids found are involved in important mechanisms related to endometriosis progress in the ovary. Thus, the metabolomic approach for the study of lipids may be helpful in potential biomarker discovery.
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Metadata
Title
Lipidomics analysis of follicular fluid by ESI-MS reveals potential biomarkers for ovarian endometriosis
Authors
Fernanda Bertuccez Cordeiro
Thais Regiani Cataldi
Kayla Jane Perkel
Lívia do Vale Teixeira da Costa
Raquel Cellin Rochetti
Juliana Stevanato
Marcos Nogueira Eberlin
Daniel Suslik Zylbersztejn
Agnaldo Pereira Cedenho
Edson Guimarães Lo Turco
Publication date
01-12-2015
Publisher
Springer US
Published in
Journal of Assisted Reproduction and Genetics / Issue 12/2015
Print ISSN: 1058-0468
Electronic ISSN: 1573-7330
DOI
https://doi.org/10.1007/s10815-015-0592-1

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