Modeling the Progression of Placental Transport from Early‐ to Late‐Stage Pregnancy by Tuning Trophoblast Differentiation and Vascularization

Author:

Kouthouridis Sonya1ORCID,Sotra Alexander2ORCID,Khan Zaim3ORCID,Alvarado Justin3ORCID,Raha Sandeep4ORCID,Zhang Boyang12ORCID

Affiliation:

1. Department of Chemical Engineering McMaster University Hamilton ON L8S 4L8 Canada

2. School of Biomedical Engineering McMaster University Hamilton ON L8S 4L8 Canada

3. Department of Biochemistry and Biomedical Sciences McMaster University Hamilton ON L8S 4L8 Canada

4. Department of Pediatrics and the Graduate Programme in Medical Sciences McMaster University Hamilton ON L8S 4L8 Canada

Abstract

AbstractThe early‐stage placental barrier is characterized by a lack of fetal circulation and by a thick trophoblastic barrier, whereas the later‐stage placenta consists of vascularized chorionic villi encased in a thin, differentiated trophoblast layer, ideal for nutrient transport. In this work, predictive models of early‐ and late‐stage placental transport are created using blastocyst‐derived placental stem cells (PSCs) by modulating PSC differentiation and model vascularization. PSC differentiation results in a thinner, fused trophoblast layer, as well as an increase in human chorionic gonadotropin secretion, barrier permeability, and secretion of certain inflammatory cytokines, which are consistent with in vivo findings. Further, gene expression confirms this shift toward a differentiated trophoblast subtype. Vascularization results in a molecule type‐ and size‐dependent change in dextran and insulin permeability. These results demonstrate that trophoblast differentiation and vascularization have critical effects on placental barrier permeability and that this model can be used as a predictive measure to assess fetal toxicity of xenobiotic substances at different stages of pregnancy.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Pharmaceutical Science,Biomedical Engineering,Biomaterials

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3