Endometriosis: current challenges in modeling a multifactorial disease of unknown etiology

Autor(es)

Malvezzi, Helena ^[1] ; Marengo, Eliana Blini ^[2] ; Podgaec, Sergio ^[1] ; Piccinato, Carla de Azevedo ^[1]

Afiliação do(s) autor(es)

^[1] Hosp Israelita Albert Einstein, BR-05652900 Sao Paulo, SP - Brazil

^[2] Inst Butanta EstabilidadeBiotech Qual Control, BR-05503900 Sao Paulo, SP - Brazil

• Tipo de documento: Artigo de Revisão
• Fonte: JOURNAL OF TRANSLATIONAL MEDICINE; v. 18, n. 1 AUG 12 2020.
• Citações Web of Science: 0

Resumo

Endometriosis is a chronic inflammatory hormone-dependent condition associated with pelvic pain and infertility, characterized by the growth of ectopic endometrium outside the uterus. Given its still unknown etiology, treatments usually aim at diminishing pain and/or achieving pregnancy. Despite some progress in defining mode-of-action for drug development, the lack of reliable animal models indicates that novel approaches are required. The difficulties inherent to modeling endometriosis are related to its multifactorial nature, a condition that hinders the recreation of its pathology and the identification of clinically relevant metrics to assess drug efficacy. In this review, we report and comment endometriosis models and how they have led to new therapies. We envision a roadmap for endometriosis research, integrating Artificial Intelligence, three-dimensional cultures and organ-on-chip models as ways to achieve better understanding of physiopathological features and better tailored effective treatments. (AU)

• Processo FAPESP: 18/11042-0 - Localização de células senescentes nas lesões de pacientes com Endometriose profunda
• Beneficiário: Helena Malvezzi
• Modalidade de apoio: Bolsas no Brasil - Doutorado