Metabolomic profiling in follicular fluid of patients with infertility-related deep endometriosis

In: Metabolomics · 2017 · vol. 13(10) · doi:10.1007/s11306-017-1262-3 · W2752101824
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This study analyzed follicular fluid from infertile patients with and without endometriosis, identifying 20 fatty acids and related lipid species as potential biomarkers for ovarian endometriosis.

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This study analyzed metabolomic profiles of follicular fluid from 40 infertility patients undergoing in vitro fertilization, comparing 22 controls and 18 patients with deep endometriosis using a Bligh and Dyer lipid extraction followed by ultra-performance liquid chromatography mass spectrometry. Multivariate statistics (MetaboAnalyst 3.0) identified 20 ion masses that differentiated groups, and tentative lipid database attribution indicated higher abundances in the endometriosis group across multiple lipid classes including fatty acids, carnitines, lysophosphatidic acids, lysophosphatidylcholines, and phosphatidic acid. The authors performed ROC analyses to evaluate potential biomarkers’ specificity and sensitivity individually and as a set, with the main caveat being the exploratory/tentative nature of biomarker identification from ion masses and database matching. This paper is centrally about endometriosis — it profiles follicular fluid metabolomics to identify ovarian lipidomic biomarkers in patients with infertility-related deep endometriosis.

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Abstract

Introduction Endometriosis is an estrogen-dependent gynecological disease that causes infertility, and potential metabolomic biomarkers related to ovarian endometriosis and poor outcomes after assisted reproductive treatments are still lacking.

Objectives

The present study analyzed the metabolomic profiling of follicular fluid samples from 40 patients undergoing in vitro fertilization.

Methods

The follicular fluid samples were classified as controls (n = 22) and endometriosis patients (n = 18). The samples were submitted to Bligh and Dyer protocol followed by metabolomics analysis by ultra-performance liquid chromatography mass spectrometry. Clinical data was assessed by Students’ T-test and metabolomics data was analyzed by multivariate statistics by MetaboAnalyst 3.0 to obtain intrinsic characteristics that allowed for groups discrimination. The Receiver Operating Characteristic curve was carried out for the proposed biomarkers, aiming to determine their specificity and sensitivity, as a set and individually.

Results

From the metabolomic analysis, 20 ion masses were selected as potential biomarkers from principal component analysis, which showed that all biomarkers were more abundant in the endometriosis group when compared to controls. Tentative attribution was performed by lipid maps database, demonstrating that these potential biomarkers correspond to fatty acids, carnitines, monoacylglycerols, lysophosphatidic acids, lysophosphatidylglycerols, diacylglycerols, lysophosphatidylcholines, phosphatidylserine, lysophosphatidylinositols and Phosphatidic Acid.

Conclusion

The use of mass spectrometry-based metabolomics allowed for the identification of effective biomarkers for ovarian endometriosis, which may contribute for a better comprehension of the disease and how it affects the ovary, as well as assisting in the development of accessory tools for endometriosis diagnosis and infertility management. Similar content being viewed by others

References

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Trends in Endocrinology and Metabolism: TEM, 21(1), 17–24. Funding The author Fernanda Bertuccez Cordeiro received scholarship from the National Counsel of Technological and Scientific Development—Brazil, during the development of this work. Author information Authors and Affiliations Corresponding author Ethics declarations Conflict of interest The authors declare that they have no conflict of interest. Ethical approval The present study received approval by Ethics in Research Committee of São Paulo Federal University and written informed consent was obtained from the participants. The procedures performed in this study for the patients’ treatment were independent of the study and the procedures performed for the study presented no influence on their treatment. The authors state that all procedures were in accordance with the ethical standards of the institutional research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Electronic supplementary material Below is the link to the electronic supplementary material. Rights and permissions About this article Cite this article Cordeiro, F.B., Cataldi, T.R., do Vale Teixeira da Costa, L. et al. Metabolomic profiling in follicular fluid of patients with infertility-related deep endometriosis. Metabolomics 13, 120 (2017). https://doi.org/10.1007/s11306-017-1262-3 Received: Accepted: Published: DOI: https://doi.org/10.1007/s11306-017-1262-3

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