Literature DB >> 33311435

A Syngeneic Murine Model of Endometriosis using Naturally Cycling Mice.

Elliott G Richards1, Jenna M Rehmer2, Melissa A Mathes3, Emily L Esakov4, Chad Braley4, Amy Joehlin-Price5, Andres Chiesa-Vottero5, Ofer Reizes6.   

Abstract

Endometriosis is a leading cause of pelvic pain and infertility. It is defined by the presence of endometrial tissue in extrauterine locations. The development of novel therapies and diagnostic tools for endometriosis has been limited due in part to challenges in studying the disease. Outside of primates, few mammals menstruate, and none develop spontaneous endometriosis. Rodent models are popular but require artificial induction of endometriosis, with many utilizing either immunocompromised mice or surgically induced disease. Recently, more attention has been given to models involving intraperitoneal injection. We present a murine model of endometriosis that integrates several features of existing endometriosis models into a novel, simplified system that relies on microscopic quantification in lieu of subjective grading. In this model, we perform hormonal stimulation of donor mice, intraperitoneal injection, systematic abdominal survey and tissue harvest, and histologic quantification that can be performed and verified at any time after necropsy. This model requires minimal resources and training; does not require expertise by lab technicians in murine survival surgery or in the identification of gross endometriotic lesions; can be used in immunocompromised, immunocompetent, and/or mutant mice; and reliably creates endometriotic lesions that are histologically consistent with human endometriotic disease.

Entities:  

Year:  2020        PMID: 33311435     DOI: 10.3791/61960

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  1 in total

1.  A Mouse Model of Endometriosis with Nanoparticle Labeling for In Vivo Photoacoustic Imaging.

Authors:  Ryan M Marquardt; Md Nafiujjaman; Tae Hoon Kim; Seock-Jin Chung; Kay Hadrick; Taeho Kim; Jae-Wook Jeong
Journal:  Reprod Sci       Date:  2022-05-31       Impact factor: 2.924

  1 in total

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