National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of Ministry of Healthcare of Russian Federation, Moscow, Russia.
National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of Ministry of Healthcare of Russian Federation, Moscow, Russia; Moscow Institute of Physics and Technology, Moscow, Russia.
J Minim Invasive Gynecol. 2018 Mar-Apr;25(3):426-433. doi: 10.1016/j.jmig.2017.08.658. Epub 2017 Sep 6.
To introduce a method for the rapid assessment of endometriotic tissues using direct mass spectrometry (MS)-based lipidomics.
A prospective observational cohort study (Canadian Task Force classification II2).
Department of Operative Gynecology of the Research Centre for Obstetrics, Gynecology and Perinatology.
Fifty patients with ovarian cysts and peritoneal endometriosis who underwent laparoscopic surgery between 2014 and 2016.
Differences in mass spectrometric profiles of ectopic endometria (endometriosis) and eutopic endometria were analyzed for each patient in combination with morphohistologic evaluation. The lipidomic approach was applied using a direct high-resolution MS method.
Of 148 metabolites, 15 showed significant differences between endometriotic tissue and a healthy endometrium of the same patient, considered as a control in this study. The main lipids prevalent in endometriotic tissues were phosphoethanolamine (PE O-20:0), sphingomyelin (SM 34:1), diglycerides (DG 44:9), phosphatidylcholines (PC 32:1, PC O-36:3, PC 38:7, PC 38:6, PC 40:8, PC 40:7, PC 40:6, PC 40:9, and PC O-42:1), and triglycerides (TG 41:2, TG 49:4, and TG 52:3). Using partial least squares discriminant analysis models, MS showed that the lipidomic profile of endometriotic tissue (peritoneal endometriosis and ovarian endometriomas) was clearly separated from the eutopic endometrium, indicating tissue-type differentiation.
Our results suggest that direct MS may play an important role for endometriotic tissue identification. Such an approach has potential usefulness for real-time tissue determination and differentiation during surgical treatment. Lipids of 3 important classes, sphingolipids, phospholipids, and the fatty acids (di- and triglycerides), were identified. Validation is required to determine whether these lipids can be used to discriminate between patients with endometriosis and those with other gynecologic diseases.
介绍一种使用直接质谱（MS）脂质组学快速评估子宫内膜异位症组织的方法。
前瞻性观察队列研究（加拿大任务组分类 II2）。
妇产科研究中心手术妇产科。
2014 年至 2016 年间接受腹腔镜手术的 50 例卵巢囊肿和腹膜子宫内膜异位症患者。
对每位患者的异位子宫内膜（子宫内膜异位症）和正常子宫内膜的质谱谱图差异进行分析，并结合形态组织学评估。采用直接高分辨率 MS 方法进行脂质组学研究。
在 148 种代谢物中，有 15 种代谢物在子宫内膜异位症组织和同一位患者的健康子宫内膜之间存在显著差异，在本研究中，后者被视为对照。在子宫内膜异位症组织中普遍存在的主要脂质是磷乙醇胺（PE O-20:0）、神经鞘磷脂（SM 34:1）、二甘油酯（DG 44:9）、磷脂酰胆碱（PC 32:1、PC O-36:3、PC 38:7、PC 38:6、PC 40:8、PC 40:7、PC 40:6、PC 40:9 和 PC O-42:1）和甘油三酯（TG 41:2、TG 49:4 和 TG 52:3）。使用偏最小二乘判别分析模型，MS 显示子宫内膜异位症组织（腹膜子宫内膜异位症和卵巢子宫内膜瘤）的脂质组学谱明显与正常子宫内膜区分开来，表明组织类型分化。
我们的结果表明，直接 MS 可能在子宫内膜异位症组织鉴定中发挥重要作用。这种方法在手术治疗过程中具有实时组织确定和区分的潜在有用性。确定了 3 种重要类别的脂质，鞘脂、磷脂和脂肪酸（二酰基和三酰基甘油）。需要验证这些脂质是否可用于区分子宫内膜异位症患者和其他妇科疾病患者。
