Lin Cuicui, Chen Zhengyun, Wang Chunyan, Xi Yongmei
Institute of Genetics, Zhejiang University School of Medicine, Hangzhou 310058, China.
Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China.
Zhejiang Da Xue Xue Bao Yi Xue Ban. 2020 Dec 25;49(6):779-784. doi: 10.3785/j.issn.1008-9292.2020.12.14.
The pathogenesis of endometriosis is not well understood at the moment, and the lack of effective biomarkers often leads to delayed diagnosis of the disease. Lipidomics provides a new approach for the diagnosis and prediction of endometriosis. Sphingomyelin, phosphatidylcholine and phosphatidylserine in peripheral blood, endometrial fluid, peritoneal fluid and follicular fluid have good diagnostic value for endometriosis and disease classification; the lipid metabolites in the eutopic endometrium tissue are expected to be biomarkers of early endometriosis; and the lipid metabolites in peripheral blood are also of great value for predicting endometriosis-related infertility. The development of lipidomics technique will further advance the progress on the pathogenesis, prediction, diagnosis and treatment of endometriosis.
目前，子宫内膜异位症的发病机制尚未完全明确，且缺乏有效的生物标志物常常导致该疾病的诊断延迟。脂质组学为子宫内膜异位症的诊断和预测提供了一种新方法。外周血、子宫内膜液、腹腔液和卵泡液中的鞘磷脂、磷脂酰胆碱和磷脂酰丝氨酸对子宫内膜异位症及疾病分类具有良好的诊断价值；在位子宫内膜组织中的脂质代谢产物有望成为早期子宫内膜异位症的生物标志物；外周血中的脂质代谢产物对预测子宫内膜异位症相关不孕症也具有重要价值。脂质组学技术的发展将进一步推动子宫内膜异位症发病机制、预测、诊断和治疗方面的进展。
