Micro-RNA profile and proteins in peritoneal fluid from women with endometriosis: their relationship with sterility

Objective: To define the microRNA (miRNA) profile and its relationship with cytokines content in peritoneal fluid (PF) from endometriosis patients. Design: Case-control study. Setting: University hospital, research institute. Patient(s): One hundred twenty-six women with endometriosis (EPF) and 45 control women (CPF). Main Outcomes Measure(s): MiRNA arrays were prepared from six EPF and six CPF. Quantitative reverse transcription-polymerase chain reaction validation of nine selected miRNAs (miR-29c-3p, -106b-3p, -130a-3p, -150-5p, -185-5p, -195-5p, -451a, -486-5p, and -1343-5p) was performed. Vascular endothelial growth factor-A (VEGF-A), thrombospondin-1 (TSP-1), urokinase plasminogen activator (uPA), plasminogen activator inhibitor-1 (PAI-1), matrix metalloproteinase-3 (MMP3), tissue inhibitor of metalloproteinases type 1 (TIMP-1), interleukin (IL)-6, IL-8, IL-17A, macrophage inflammatory protein 1 beta (MIP1beta), platelet-derived growth factor a-polypeptide A, and regulated on activation, normal T cell expressed and secreted (RANTES) were quantified by ELISA and MILLIPLEX. Result(s): MiRNA arrays showed 126 miRNAs differentially expressed (fold change +/- 1.2) (78 down-regulated, 48 up-regulated) in EPF. Validation showed higher levels of miR-106b-3p, -451a, -486-5p, IL-6, IL-8, uPA, and TIMP-1 in EPF. In menstrual phase, EPF presented up-regulation of miR-106b-3p, -130a-3p, -150-5p, -185-5p, -451a, -486-5p, VEGF-A, IL-8, MIF 1 beta, uPA, and PAI-1 compared with other phases; however, CPF did not. MiRNA-486-5p was up-regulated in sterile EPF compared with sterile controls, and VEGF-A, IL-8, and TIMP-1 were increased in sterile and fertile EPF compared with fertile CPF. Conclusion(s): MiRNAs seem to be involved in the peritoneal alterations in endometriosis, suggesting new mechanisms by which ectopic lesions could implant in endometriosis patients; and to serve as biomarkers for fertility outcome prediction. (C) 2017 by American Society for Reproductive Medicine.