Lipidome profile of follicular fluid in patients with ovarian endometrioma and its role in predicting IVF outcomes

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Resumo

Relevance: Lipidome profile of follicular fluid (FF) in patients with ovarian endometrioma (OMA) offers valuable information about oocyte competence, embryo viability, and IVF outcomes.

Objective: To create a model for predicting the probability of clinical pregnancy in patients with OMA undergoing IVF based on the lipidome profile of follicular fluid.

Materials and methods: Patients baseline characteristics were collected, lipidome profile of FF and IVF outcomes in patients with OMA were analyzed (n=41). The lipidome signature of follicular fluid was analyzed using high-performance liquid chromatography coupled with mass spectrometry (HPLC-MS). Orthogonal projections to latent structures discriminant analysis (OPLS-DA) were used to create a differential model.

Results: Comparative analysis of FF samples from women who achieved pregnancy versus those with negative result revealed differences in lipidome signature within each group that correlated with IVF outcomes. Based on these findings, a predictive OPLS model was developed. The model allows to differentiate pregnant and non-pregnant women based on the levels of lipids belonging to the following classes: cholesteryl esters, phosphatidylcholines, sphingomyelins and triglycerides.

Conclusion: Lipidome profiling of follicular fluid using HPLC-MS allows for fairly accurate differentiation between women who achieve pregnancy and those who do not. These results are consistent with international data and confirm the potential for using this method to predict IVF outcomes in patients with ovarian endometriomas.

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Sobre autores

Victoria Vardanyan

Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Autor responsável pela correspondência
Email: vvictoria5@yandex.ru
ORCID ID: 0000-0001-9057-1736

PhD student, Department of IVF named after Prof. B.V. Leonov

Rússia, Moscow

Veronika Smolnikova

Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Email: v_smolnikova@oparina4.ru
ORCID ID: 0000-0002-8025-4849

Dr. Med. Sci., Leading Researcher, Department of IVF named after Prof. B.V. Leonov

Rússia, Moscow

Vitaly Chagovets

Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Email: vvchagovets@gmail.com
ORCID ID: 0000-0002-5120-376X

PhD (in Physics and Mathematics), Head of the Laboratory of Metabolomics and Bioinformatics

Rússia, Moscow

Natalya Makarova

Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Email: np_makarova@oparina4.ru
ORCID ID: 0000-0003-1396-7272

Dr. Med. Sci., Leading Researcher, Department of IVF named after Prof. B.V. Leonov

Rússia, Moscow

Elena Kalinina

Academician V.I. Kulakov National Medical Research Center for Obstetrics, Gynecology and Perinatology, Ministry of Health of Russia

Email: e_kalinina@oparina4.ru
ORCID ID: 0000-0002-8922-2878

Dr. Med. Sci., Professor, Head of the IVF Department named after Prof. B.V. Leonov

Rússia, Moscow

Bibliografia

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2. Fig. 1. A graph of scores constructed based on the results of OPLS-DA analysis of follicular fluid lipid levels in patients with endometrioid cysts. Green dots correspond to samples from pregnant patients, red dots to samples from non-pregnant patients.

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3. Fig. 2. ROC curve of the OPLS-DA model constructed during the analysis of patients with pregnancy and non-pregnancy in the presence of endometrioid ovarian cysts

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4. Fig. 3. Comparison of lipid levels that contribute most to the model constructed from the analysis of patients with endometrioid ovarian cysts who did or did not conceive. The box boundaries are the first and third quartiles, the line in the middle is the median, and the ends of the whiskers are the difference between the first quartile and one and a half times the interquartile distance, and the sum of the third quartile and one and a half times the interquartile distance.

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