4.7 Article

Characterization of exosomes in peritoneal fluid of endometriosis patients

期刊

FERTILITY AND STERILITY
卷 113, 期 2, 页码 364-+

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.fertnstert.2019.09.032

关键词

Biomarker; endometriosis; exosomes; pathogenesis; peritoneal fluid

资金

  1. Nuffield Department of Women's & Reproductive Health
  2. Oxfordshire Health Services Research Committee
  3. Nuffield Benefaction for Medicine
  4. Wellcome Institutional Strategic Support Fund (ISSF)
  5. MRC [G0501068] Funding Source: UKRI

向作者/读者索取更多资源

Objective: To demonstrate the feasibility of studying exosomes directly from peritoneal fluid, we isolated exosomes from endometriosis patient samples and from controls, and characterized their cargo. Design: Case-control experimental study. Setting: Academic clinical center. Patient (s): Women with and without endometriosis who underwent laparoscopic surgery (n = 28 in total). Intervention (s): None. Main Outcome Measure (s): Concentration of exosomes within peritoneal fluid and protein content of the isolated exosomes. Result (s): Peritoneal fluid samples were pooled according to the cycle phase and disease stage to form six experimental groups, from which the exosomes were isolated. Exosomes were successfully isolated from peritoneal fluid in all the study groups. The concentration varied with cycle phase and disease stage. Proteomic analysis showed specific proteins in the exosomes derived from endometriosis patients that were absent in the controls. Five proteins were found exclusively in the endometriosis groups: PRDX1, H2A type 2-C, ANXA2, ITIH4, and the tubulin alpha-chain. Conclusion (s): Exosomes are present in peritoneal fluid. The characterization of endometriosis-specific exosomes opens up new avenues for the diagnosis and investigation of endometriosis. Copyright (C) 2019 The Authors. Published by Elsevier Inc. on behalf of the American Society for Reproductive Medicine.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据