Methanalysis of total transcriptoma obtained by microarrays of eutopic endometric samples of patients with endometriosis, of patients with lower genital tract infection by Chlamydia trachomatis and of aparently healthy patients

• Grant number: 18/19328-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: February 01, 2019
• End date: December 31, 2019
• Field of knowledge: Health Sciences - Medicine
• Principal Investigator: Omero Benedicto Poli Netto
• Grantee: Aureo Favaretto Junior
• Host Institution: Faculdade de Medicina de Ribeirão Preto (FMRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil

Abstract

Endometriosis is a disease of high prevalence. Currently, it is estimated that it affects about 10-15% of women of reproductive age. It presents great variability of clinical presentation and may present with significant functional impairment. It is characterized by the presence of endometrial tissue outside the uterine cavity, more frequently affecting the organs and structures of the pelvis, preferably the ovaries, sacrouterine ligaments and pelvic peritoneum.From the biological standpoint, the disease is still an enigma. The theory of ectopic dissemination of endometrial cells through retrograde menses is more widely accepted, but does not explain all the aspects of the disease. At the same time, it appears to confer a high risk for the development of a number of chronic diseases and appears to be related to lower genital tract infection.In this context, the development of tools to correlate endometriosis with other nosocomial entities, thus making it possible to identify causal and risk factors, as well as making it possible to make early intervention and diagnosis, are essential to oppose a "silent" disease, that causes great personal and economic losses.For this reason, the proposed study aims to, through the study of the meta-analysis of studies of gene expression analysis of the eutopic endometrium of patients with endometriosis, of patients with C. trachomatis infection and of healthy patients (by microarray), to identify common signaling pathways between the patient with endometriosis and the patient with lower genital tract infection and to differentiate the genes expressed in these two conditions from those expressed in the healthy patient, aiming at a better understanding of the pathophysiology of Endometriosis and its possible correlations.