2018
DOI: 10.1002/adhm.201870008
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Placenta‐on‐a‐Chip: Placental Drug Transport‐on‐a‐Chip: A Microengineered In Vitro Model of Transporter‐Mediated Drug Efflux in the Human Placental Barrier (Adv. Healthcare Mater. 2/2018)

Abstract: In article number https://doi.org/10.1002/adhm.201700786, Dongeun Huh and co‐workers present a micro‐engineered model of the human placental barrier for investigation of maternal–fetal drug transfer in pregnancy. The placenta‐on‐a‐chip system reconstitutes efflux transporter‐mediated transport of a test compound, demonstrating proof‐of‐principle for use as a screening platform for prediction of drug transport in pregnancy.

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“…Taken together, our results strongly suggest that appropriate design of adhesive culture patterns and the mechanical microenvironment surrounding microtissues can serve as critically important design parameters to enhance fusion in vitro. Exploring this design space will be of critical importance when developing next-generation drug screening technologies such as “organ-on-a-chip” platforms, including recently developed placenta-on-a-chip model systems, , which will ultimately enhance our understanding of these complex biological systems and provide a versatile set of tools to improve disease modeling and therapeutic development strategies.…”
Section: Discussionmentioning
confidence: 99%
“…Taken together, our results strongly suggest that appropriate design of adhesive culture patterns and the mechanical microenvironment surrounding microtissues can serve as critically important design parameters to enhance fusion in vitro. Exploring this design space will be of critical importance when developing next-generation drug screening technologies such as “organ-on-a-chip” platforms, including recently developed placenta-on-a-chip model systems, , which will ultimately enhance our understanding of these complex biological systems and provide a versatile set of tools to improve disease modeling and therapeutic development strategies.…”
Section: Discussionmentioning
confidence: 99%