Roberto Matorras1,2, Ibon Martinez-Arranz3, Enara Arretxe3, Marta Iruarrizaga-Lejarreta3, Blanca Corral4, Jone Ibañez-Perez4, Antonia Exposito4, Begoña Prieto4,5, Felix Elortza6, Cristina Alonso3. 1. Human Reproduction Unit, Cruces University Hospital, BioCruces, University of the Basque Country, Bilbao, Spain. roberto.matorras@osakidetza.net. 2. Instituto Valenciano de Infertilidad, IVI, Bilbao, Spain. roberto.matorras@osakidetza.net. 3. OWL Metabolomics, Parque Tecnológico de Bizkaia, Derio, Spain. 4. Human Reproduction Unit, Cruces University Hospital, BioCruces, University of the Basque Country, Bilbao, Spain. 5. Instituto Valenciano de Infertilidad, IVI, Bilbao, Spain. 6. Proteomics Platform, CIC bioGUNE, CIBERehd, ProteoRed-ISCIII, Parque Tecnológico de Bizkaia, Derio, Spain.
Abstract
OBJECTIVE: To characterize the most relevant changes in the lipidome of endometrial fluid aspirate (EFA) in non-implantative cycles. DESIGN: Lipidomics in a prospective cohort study. SETTINGS: Reproductive unit of a university hospital. PATIENTS: Twenty-nine women undergoing an IVF cycle. Fifteen achieved pregnancy and 14 did not. INTERVENTION: Endometrial fluid aspiration immediately before performing embryo transfer. MAIN OUTCOME MEASURES: Clinical pregnancy rate and lipidomic profiles obtained on an ultra-high performance liquid chromatography coupled to time-of-flight mass spectrometry (UHPLC-ToF-MS)-based analytical platform. RESULTS: The comparative analysis of the lipidomic patterns of endometrial fluid in implantative and non-implantative IVF cycles revealed eight altered metabolites: seven glycerophospholipids and an omega-6 polyunsaturated fatty acid. Then, women with a non-implantative cycle were accurately classified with a support vector machine algorithm including these eight lipid metabolites. The diagnostic performances of the algorithm showed an area under the receiver operating characteristic curve, sensitivity, specificity, and accuracy of 0.893 ± 0.07, 85.7%, 80.0%, and 82.8%, respectively. CONCLUSION: A predictive lipidomic signature linked to the implantative status of the endometrial fluid has been found.
OBJECTIVE: To characterize the most relevant changes in the lipidome of endometrial fluid aspirate (EFA) in non-implantative cycles. DESIGN: Lipidomics in a prospective cohort study. SETTINGS: Reproductive unit of a university hospital. PATIENTS: Twenty-nine women undergoing an IVF cycle. Fifteen achieved pregnancy and 14 did not. INTERVENTION: Endometrial fluid aspiration immediately before performing embryo transfer. MAIN OUTCOME MEASURES: Clinical pregnancy rate and lipidomic profiles obtained on an ultra-high performance liquid chromatography coupled to time-of-flight mass spectrometry (UHPLC-ToF-MS)-based analytical platform. RESULTS: The comparative analysis of the lipidomic patterns of endometrial fluid in implantative and non-implantative IVF cycles revealed eight altered metabolites: seven glycerophospholipids and an omega-6 polyunsaturated fatty acid. Then, women with a non-implantative cycle were accurately classified with a support vector machine algorithm including these eight lipid metabolites. The diagnostic performances of the algorithm showed an area under the receiver operating characteristic curve, sensitivity, specificity, and accuracy of 0.893 ± 0.07, 85.7%, 80.0%, and 82.8%, respectively. CONCLUSION: A predictive lipidomic signature linked to the implantative status of the endometrial fluid has been found.
Authors: M H van der Gaast; K Beier-Hellwig; B C J M Fauser; H M Beier; N S Macklon Journal: Reprod Biomed Online Date: 2003 Jul-Aug Impact factor: 3.828
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Authors: Jone Ibañez-Perez; María Díaz-Nuñez; Marc Clos-García; Lucía Lainz; María Iglesias; Miren Díez-Zapirain; Aintzane Rabanal; Laura Bárcena; Monika González; Juan J Lozano; Urko M Marigorta; Esperanza González; Félix Royo; Ana M Aransay; Nerea Subiran; Roberto Matorras; Juan Manuel Falcón-Pérez Journal: Hum Reprod Date: 2022-09-30 Impact factor: 6.353