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The lipidome of endometrial fluid differs between implantative and non-implantative IVF cycles

机译:子宫内膜液的脂质体在植入和非植入IVF循环之间不同

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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.
机译:目的表征非植入循环中子宫内膜液吸气(EFA)的脂质体中最相关的变化。设计脂多元族在预期队列研究中。设置大学医院的生殖单位。患者接受IVF周期的二十九个女性。十五岁达到怀孕,14岁没有。在进行胚胎转移之前立即干预子宫内膜流体吸入。主要结果测量在超高效液相色谱上获得的临床妊娠率和脂质素谱,偶联到飞行时间质谱(UHPLC-TOF-MS)的分析平台。结果植入物和非植入IVF循环中子宫内膜流体脂质素图案的对比分析显示出八种改变的代谢物:七种甘油磷脂和ω-6多不饱和脂肪酸。然后,用包括这8个脂质代谢物的支持向量机算法准确地分类具有非植入循环的妇女。该算法的诊断性能显示了接收器的特征曲线,敏感性,特异性和精度分别为0.893 +/- 0.07,85.7%,80.0%和82.8%的区域。结论已经发现了与子宫内膜流体的植入状态相关的预测脂质蛋白特征。

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