Reproductive biomedicine online · 2026
Endometrial metabolomic profiling reveals disruption of fatty-acid metabolism in unexplained recurrent pregnancy loss.
СтатьяНаблюдательное исследованиеНазвание и аннотация: Перевод в очереди
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Boguenet Magalie, Michel Mathieu, Bocca Cinzia, Chao de la Barca Juan Manuel, Reynier Pascal, May-Panloup Pascale, Bouet Pierre-Emmanuel
Аннотация
RESEARCH QUESTION: Are specific plasma or endometrial metabolomic profiles associated with recurrent implantation failure (RIF), unexplained recurrent pregnancy loss (U-RPL), or both?
DESIGN: Prospective observational study of the plasma and endometrium from 80 women undergoing assisted reproductive technology. The women were classified into three groups: U-RPL (n = 19), RIF (n = 41) and controls (fertile women with male factor infertility, n = 20). A blood sample and an endometrial biopsy were collected during the window of implantation, 5-9 days after ovulation. Targeted and quantitative metabolomics analyses were conducted using high-performance liquid chromatography coupled with tandem mass spectrometry, using the Biocrates® MxP Quant 500 kit. A total of 630 metabolites were assessed using machine learning (ML) to identify specific metabolic profiles, and multivariate and univariate statistical approaches applied.
RESULTS: Of the 630 metabolites analysed, 494 were accurately quantified in plasma and 228 in endometrial samples. A distinct metabolomic signature was identified in the endometrium of patients who had experienced U-RPL, characterized by 16 highly relevant metabolites. This signature includes an overall decrease in medium chain acylcarnitines, along with a significant increase in diglycerides and triglycerides, as well as in certain phospholipids (glycerophosphates) and several ceramides.
CONCLUSION: A disruption of fatty acid metabolism was observed in the endometrium during the implantation window in U-RPL, paving the way for the identification of novel biomarkers of endometrial receptivity.
DESIGN: Prospective observational study of the plasma and endometrium from 80 women undergoing assisted reproductive technology. The women were classified into three groups: U-RPL (n = 19), RIF (n = 41) and controls (fertile women with male factor infertility, n = 20). A blood sample and an endometrial biopsy were collected during the window of implantation, 5-9 days after ovulation. Targeted and quantitative metabolomics analyses were conducted using high-performance liquid chromatography coupled with tandem mass spectrometry, using the Biocrates® MxP Quant 500 kit. A total of 630 metabolites were assessed using machine learning (ML) to identify specific metabolic profiles, and multivariate and univariate statistical approaches applied.
RESULTS: Of the 630 metabolites analysed, 494 were accurately quantified in plasma and 228 in endometrial samples. A distinct metabolomic signature was identified in the endometrium of patients who had experienced U-RPL, characterized by 16 highly relevant metabolites. This signature includes an overall decrease in medium chain acylcarnitines, along with a significant increase in diglycerides and triglycerides, as well as in certain phospholipids (glycerophosphates) and several ceramides.
CONCLUSION: A disruption of fatty acid metabolism was observed in the endometrium during the implantation window in U-RPL, paving the way for the identification of novel biomarkers of endometrial receptivity.