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Endometrium metabolomic profiling reveals potential biomarkers for diagnosis of endometriosis at minimal-mild stages

机译:子宫内膜代谢组学分析揭示了轻度轻度阶段诊断子宫内膜异位症的潜在生物标志物

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The sensitivity and specificity of non-invasive diagnostic methods for endometriosis, especially at early stages, are not optimal. The clinical diagnostic indicator cancer antigen 125 (CA125) performs poorly in the diagnosis of minimal endometriosis, with a sensitivity of 24%. Therefore, it is urgent to explore novel diagnostic biomarkers. We evaluated the metabolomic profile variation of the eutopic endometrium between minimal-mild endometriosis patients and healthy women by ultra-high-performance liquid chromatography coupled with electrospray ionization high-resolution mass spectrometry (UHPLC-ESI-HRMS). Our study comprised 29 patients with laparoscopically confirmed endometriosis at stages I-II and 37 infertile women who underwent diagnostic laparoscopy combined with hysteroscopy from January 2014 to January 2015. Eutopic endometrium samples were collected by pipelle endometrial biopsy. The metabolites were quantified by UHPLC-ESI-HRMS. The best combination of biomarkers was then selected by performing step-wise logistic regression analysis with backward elimination. Twelve metabolites were identified as endometriosis-associated biomarkers. The eutopic endometrium metabolomic profile of the endometriosis patients was characterized by a significant increase in the concentration of hypoxanthine, L-arginine, L-tyrosine, leucine, lysine, inosine, omega-3 arachidonic acid, guanosine, xanthosine, lysophosphatidylethanolamine and asparagine. In contrast, the concentration of uric acid was decreased. Metabolites were filtered by step-wise logistic regression with backward elimination, and a model containing uric acid, hypoxanthine, and lysophosphatidylethanolamine was constructed. Receiver-operating characteristic (ROC) analysis confirmed the prognostic value of these parameters for the diagnosis of minimal/mild endometriosis with a sensitivity of 66.7% and a specificity of 90.0%. Metabolomics analysis of the eutopic endometrium in endometriosis was effectively characterized by UHPLC-ESI-HRMS-based metabolomics. Our study supports the importance of purine and amino acid metabolites in the pathophysiology of endometriosis and provides potential biomarkers for semi-invasive diagnosis of early-stage endometriosis.
机译:非侵入性子宫内膜异位诊断方法的敏感性和特异性,尤其是在早期阶段,并不是最佳的。临床诊断指标癌症抗原125(CA125)在最小化子宫内膜异位症的诊断中表现不佳,灵敏度为24%。因此,迫切需要探索新型的诊断生物标志物。我们通过超高效液相色谱结合电喷雾电离高分辨率质谱(UHPLC-ESI-HRMS)评估了轻度子宫内膜异位症患者和健康女性之间的异位子宫内膜代谢组学谱变化。我们的研究包括29例经I-II期腹腔镜确诊的子宫内膜异位患者和37例从2014年1月至2015年1月接受诊断性腹腔镜联合宫腔镜检查的不育妇女。通过输卵管子宫内膜活检术收集了异位内膜样本。代谢物通过UHPLC-ESI-HRMS定量。然后通过进行逐步逻辑回归分析并向后消除来选择生物标志物的最佳组合。十二种代谢物被鉴定为与子宫内膜异位症相关的生物标记物。子宫内膜异位症患者的异位子宫内膜代谢组学特征是次黄嘌呤,L-精氨酸,L-酪氨酸,亮氨酸,赖氨酸,肌苷,ω-3花生四烯酸,鸟苷,黄嘌呤,溶血磷脂酰乙醇胺和天冬酰胺的浓度显着增加。相反,尿酸的浓度降低。通过逐步逻辑回归并逆向消除对代谢物进行过滤,构建了包含尿酸,次黄嘌呤和溶血磷脂酰乙醇胺的模型。接受者操作特征(ROC)分析证实了这些参数对诊断轻度/轻度子宫内膜异位症的预后价值,敏感性为66.7%,特异性为90.0%。子宫内膜异位症异位子宫内膜的代谢组学分析已通过基于UHPLC-ESI-HRMS的代谢组学得到了有效表征。我们的研究支持嘌呤和氨基酸代谢产物在子宫内膜异位症的病理生理学中的重要性,并为早期子宫内膜异位症的半侵入性诊断提供潜在的生物标志物。

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