Metabolomic profiling in follicular fluid of patients with infertility-related deep endometriosis
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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References (36)
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Cited by (3)
- Current Role of Modern Chromatography with Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy in the Investigation of Biomarkers of Endometriosis 2023
- Is there a role for small molecule metabolite biomarkers in the development of a diagnostic test for endometriosis? 2022
- Molecular Imaging of Endometriosis Tissues using Desorption Electrospray Ionization Mass Spectrometry 2019
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