Eastman, A, Noble, K, Pensabene, V orcid.org/0000-0002-3352-8202 et al. (1 more author) (2022) Leveraging Bioengineering to Assess Cellular Functions and Communication Within Human Fetal Membranes. The Journal of Maternal-Fetal and Neonatal Medicine, 35 (14). pp. 2795-2807. ISSN 1476-4954
Abstract
The fetal membranes enclose the growing fetus and amniotic fluid. Preterm prelabor rupture of fetal membranes is a leading cause of preterm birth. Fetal membranes are composed of many different cell types, both structural and immune. These cells must coordinate functions for tensile strength and membrane integrity to contain the growing fetus and amniotic fluid. They must also balance immune responses to pathogens with maintaining maternal-fetal tolerance. Perturbation of this equilibrium can lead to preterm premature rupture of membranes without labor. In this review, we describe the formation of the fetal membranes to orient the reader, discuss some of the common forms of communication between the cell types of the fetal membranes, and delve into the methods used to tease apart this paracrine signaling within the membranes, including emerging technologies such as organ-on-chip models of membrane immunobiology.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Informa UK Limited, trading as Taylor & Francis Group. This is an author produced version of an article published in Journal of Maternal-Fetal and Neonatal Medicine. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Organ-on-chip, fetal membrane, immunology, preterm prelabor rupture of membranes, preterm birth |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Pollard Institute (Leeds) |
Funding Information: | Funder Grant number EU - European Union 748903 |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Aug 2020 15:29 |
Last Modified: | 25 Jul 2022 12:22 |
Status: | Published |
Publisher: | Taylor & Francis |
Identification Number: | 10.1080/14767058.2020.1802716 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:164277 |