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Brain physiome: A concept bridging in vitro 3D brain models and in silico models for predicting drug toxicity in the brain

In the last few decades, adverse reactions to pharmaceuticals have been evaluated using 2D in vitro models and animal models. However, with increasing computational power, and as the key drivers of cellular behavior have been identified, in silico models have emerged. These models are time-efficient...

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Autores principales: Seo, Yoojin, Bang, Seokyoung, Son, Jeongtae, Kim, Dongsup, Jeong, Yong, Kim, Pilnam, Yang, Jihun, Eom, Joon-Ho, Choi, Nakwon, Kim, Hong Nam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843968/
https://www.ncbi.nlm.nih.gov/pubmed/35224297
http://dx.doi.org/10.1016/j.bioactmat.2021.11.009
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author Seo, Yoojin
Bang, Seokyoung
Son, Jeongtae
Kim, Dongsup
Jeong, Yong
Kim, Pilnam
Yang, Jihun
Eom, Joon-Ho
Choi, Nakwon
Kim, Hong Nam
author_facet Seo, Yoojin
Bang, Seokyoung
Son, Jeongtae
Kim, Dongsup
Jeong, Yong
Kim, Pilnam
Yang, Jihun
Eom, Joon-Ho
Choi, Nakwon
Kim, Hong Nam
author_sort Seo, Yoojin
collection PubMed
description In the last few decades, adverse reactions to pharmaceuticals have been evaluated using 2D in vitro models and animal models. However, with increasing computational power, and as the key drivers of cellular behavior have been identified, in silico models have emerged. These models are time-efficient and cost-effective, but the prediction of adverse reactions to unknown drugs using these models requires relevant experimental input. Accordingly, the physiome concept has emerged to bridge experimental datasets with in silico models. The brain physiome describes the systemic interactions of its components, which are organized into a multilevel hierarchy. Because of the limitations in obtaining experimental data corresponding to each physiome component from 2D in vitro models and animal models, 3D in vitro brain models, including brain organoids and brain-on-a-chip, have been developed. In this review, we present the concept of the brain physiome and its hierarchical organization, including cell- and tissue-level organizations. We also summarize recently developed 3D in vitro brain models and link them with the elements of the brain physiome as a guideline for dataset collection. The connection between in vitro 3D brain models and in silico modeling will lead to the establishment of cost-effective and time-efficient in silico models for the prediction of the safety of unknown drugs.
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spelling pubmed-88439682022-02-25 Brain physiome: A concept bridging in vitro 3D brain models and in silico models for predicting drug toxicity in the brain Seo, Yoojin Bang, Seokyoung Son, Jeongtae Kim, Dongsup Jeong, Yong Kim, Pilnam Yang, Jihun Eom, Joon-Ho Choi, Nakwon Kim, Hong Nam Bioact Mater Article In the last few decades, adverse reactions to pharmaceuticals have been evaluated using 2D in vitro models and animal models. However, with increasing computational power, and as the key drivers of cellular behavior have been identified, in silico models have emerged. These models are time-efficient and cost-effective, but the prediction of adverse reactions to unknown drugs using these models requires relevant experimental input. Accordingly, the physiome concept has emerged to bridge experimental datasets with in silico models. The brain physiome describes the systemic interactions of its components, which are organized into a multilevel hierarchy. Because of the limitations in obtaining experimental data corresponding to each physiome component from 2D in vitro models and animal models, 3D in vitro brain models, including brain organoids and brain-on-a-chip, have been developed. In this review, we present the concept of the brain physiome and its hierarchical organization, including cell- and tissue-level organizations. We also summarize recently developed 3D in vitro brain models and link them with the elements of the brain physiome as a guideline for dataset collection. The connection between in vitro 3D brain models and in silico modeling will lead to the establishment of cost-effective and time-efficient in silico models for the prediction of the safety of unknown drugs. KeAi Publishing 2021-11-12 /pmc/articles/PMC8843968/ /pubmed/35224297 http://dx.doi.org/10.1016/j.bioactmat.2021.11.009 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Seo, Yoojin
Bang, Seokyoung
Son, Jeongtae
Kim, Dongsup
Jeong, Yong
Kim, Pilnam
Yang, Jihun
Eom, Joon-Ho
Choi, Nakwon
Kim, Hong Nam
Brain physiome: A concept bridging in vitro 3D brain models and in silico models for predicting drug toxicity in the brain
title Brain physiome: A concept bridging in vitro 3D brain models and in silico models for predicting drug toxicity in the brain
title_full Brain physiome: A concept bridging in vitro 3D brain models and in silico models for predicting drug toxicity in the brain
title_fullStr Brain physiome: A concept bridging in vitro 3D brain models and in silico models for predicting drug toxicity in the brain
title_full_unstemmed Brain physiome: A concept bridging in vitro 3D brain models and in silico models for predicting drug toxicity in the brain
title_short Brain physiome: A concept bridging in vitro 3D brain models and in silico models for predicting drug toxicity in the brain
title_sort brain physiome: a concept bridging in vitro 3d brain models and in silico models for predicting drug toxicity in the brain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8843968/
https://www.ncbi.nlm.nih.gov/pubmed/35224297
http://dx.doi.org/10.1016/j.bioactmat.2021.11.009
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