Letsiou Sophia, Peterse Dirkje P, Fassbender Amelie, Hendriks Margriet M, van den Broek Niels J, Berger Rudolf, O Dorien F, Vanhie Arne, Vodolazkaia Alexandra, Van Langendonckt Anne, Donnez Jacques, Harms Amy C, Vreeken Rob J, Groothuis Patrick G, Dolmans Marie-Madeleine, Brenkman Arjan B, D'Hooghe Thomas M
University Medical Centre Utrecht, Department of Metabolic Diseases, and Netherlands Metabolomics Centre (NMC), Utrecht, the Netherlands.
Catholic University (KU) Leuven, Department of Development and Regeneration, Organ Systems, Leuven, Belgium.
Fertil Steril. 2017 Mar;107(3):699-706.e6. doi: 10.1016/j.fertnstert.2016.12.032.
To identify metabolites that are associated with and predict the presence of endometriosis.
Metabolomics study using state-of-the-art mass spectrometry approaches.
University hospital and universities.
PATIENT(S): Twenty-five women with laparoscopically confirmed endometriosis (cases) and 19 women with laparoscopically documented absence of endometriosis (controls). None of the women included in this study had received oral contraception or GnRH agonists for a minimum of 1 month before blood collection.
INTERVENTION(S): Plasma collection.
MAIN OUTCOME MEASURE(S): Metabolite profiles were generated and interrogated using multiple mass spectrometry methods, that is, high performance liquid chromatography coupled with negative mode electrospray ionization tandem mass spectrometry, UPLC-MS/MS, and ultra performance liquid chromatography-electroSpray ionization-quadrupole time-of-flight (UPLC-ESI-Q-TOF). Metabolite groups investigated included phospholipids, glycerophospholipids, ether-phospholipids, cholesterol-esters, triacylglycerol, sphingolipids, free fatty acids, steroids, eicosanoids, and acylcarnitines.
RESULT(S): A panel of acylcarnitines predicted the presence of endometriosis with 88.9% specificity and 81.5% sensitivity in human plasma, with a positive predictive value of 75%. However, due to data limitations the outcome of the receiver operating characteristic curve analysis was not significant.
CONCLUSION(S): A diagnostic model based on acylcarnitines has the potential to predict the presence and stage of endometriosis.
识别与子宫内膜异位症相关并预测其存在的代谢物。
采用最先进质谱方法的代谢组学研究。
大学医院和大学。
25名经腹腔镜确诊为子宫内膜异位症的女性（病例组）和19名经腹腔镜证实无子宫内膜异位症的女性（对照组）。本研究纳入的所有女性在采血前至少1个月未接受口服避孕药或GnRH激动剂治疗。
采集血浆。
使用多种质谱方法生成并分析代谢物谱，即高效液相色谱-负模式电喷雾电离串联质谱、超高效液相色谱-质谱/质谱以及超高效液相色谱-电喷雾电离-四极杆飞行时间质谱（UPLC-ESI-Q-TOF）。研究的代谢物组包括磷脂、甘油磷脂、醚磷脂、胆固醇酯、三酰甘油、鞘脂、游离脂肪酸、类固醇、类花生酸和酰基肉碱。
一组酰基肉碱在人血浆中预测子宫内膜异位症存在的特异性为88.9%，敏感性为81.5%，阳性预测值为75%。然而，由于数据限制，受试者工作特征曲线分析的结果不显著。
基于酰基肉碱的诊断模型有可能预测子宫内膜异位症的存在和分期。
