Physiomimetic Models of Adenomyosis
Name
s-0040-1719084.pdf
Description
Published version
Size
847.28 KB
Format
Unknown
Checksum (MD5)
4292520d20ed6ac2cae2d02b35bf0356
Author(s)
Gnecco, Juan S
Brown, Alex T
Kan, Ellen L
Baugh, Lauren
Ives, Clara
Loring, Megan
Griffith, Linda G
Date Issued
November 2020
Journal
Seminars in Reproductive Medicine
Publisher
Georg Thieme Verlag KG
Version
Final published version
Abstract
© 2020 by Thieme Medical Publishers, Inc., 333 Seventh Avenue, New York, NY 10001, USA. Adenomyosis remains an enigmatic disease in the clinical and research communities. The high prevalence, diversity of morphological and symptomatic presentations, array of potential etiological explanations, and variable response to existing interventions suggest that different subgroups of patients with distinguishable mechanistic drivers of disease may exist. These factors, combined with the weak links to genetic predisposition, make the entire spectrum of the human condition challenging to model in animals. Here, after an overview of current approaches, a vision for applying physiomimetic modeling to adenomyosis is presented. Physiomimetics combines a system's biology analysis of patient populations to generate hypotheses about mechanistic bases for stratification with in vitro patient avatars to test these hypotheses. A substantial foundation for three-dimensional (3D) tissue engineering of adenomyosis lesions exists in several disparate areas: epithelial organoid technology; synthetic biomaterials matrices for epithelial-stromal coculture; smooth muscle 3D tissue engineering; and microvascular tissue engineering. These approaches can potentially be combined with microfluidic platform technologies to model the lesion microenvironment and can potentially be coupled to other microorgan systems to examine systemic effects. In vitro patient-derived models are constructed to answer specific questions leading to target identification and validation in a manner that informs preclinical research and ultimately clinical trial design.
MIT Department
Massachusetts Institute of Technology. Center for Gynepathology Research
Massachusetts Institute of Technology. Department of Biological Engineering
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1055/S-0040-1719084
