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hiPSC-Derived Cardiac Tissue for Disease Modeling and Drug Discovery
Relevant, predictive normal, or disease model systems are of vital importance for drug development. The difference between nonhuman models and humans could contribute to clinical trial failures despite ideal nonhuman results. As a potential substitute for animal models, human induced pluripotent ste...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727666/ https://www.ncbi.nlm.nih.gov/pubmed/33255277 http://dx.doi.org/10.3390/ijms21238893 |
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author | Li, Junjun Hua, Ying Miyagawa, Shigeru Zhang, Jingbo Li, Lingjun Liu, Li Sawa, Yoshiki |
author_facet | Li, Junjun Hua, Ying Miyagawa, Shigeru Zhang, Jingbo Li, Lingjun Liu, Li Sawa, Yoshiki |
author_sort | Li, Junjun |
collection | PubMed |
description | Relevant, predictive normal, or disease model systems are of vital importance for drug development. The difference between nonhuman models and humans could contribute to clinical trial failures despite ideal nonhuman results. As a potential substitute for animal models, human induced pluripotent stem cell (hiPSC)-derived cardiomyocytes (CMs) provide a powerful tool for drug toxicity screening, modeling cardiovascular diseases, and drug discovery. Here, we review recent hiPSC-CM disease models and discuss the features of hiPSC-CMs, including subtype and maturation and the tissue engineering technologies for drug assessment. Updates from the international multisite collaborators/administrations for development of novel drug discovery paradigms are also summarized. |
format | Online Article Text |
id | pubmed-7727666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77276662020-12-11 hiPSC-Derived Cardiac Tissue for Disease Modeling and Drug Discovery Li, Junjun Hua, Ying Miyagawa, Shigeru Zhang, Jingbo Li, Lingjun Liu, Li Sawa, Yoshiki Int J Mol Sci Review Relevant, predictive normal, or disease model systems are of vital importance for drug development. The difference between nonhuman models and humans could contribute to clinical trial failures despite ideal nonhuman results. As a potential substitute for animal models, human induced pluripotent stem cell (hiPSC)-derived cardiomyocytes (CMs) provide a powerful tool for drug toxicity screening, modeling cardiovascular diseases, and drug discovery. Here, we review recent hiPSC-CM disease models and discuss the features of hiPSC-CMs, including subtype and maturation and the tissue engineering technologies for drug assessment. Updates from the international multisite collaborators/administrations for development of novel drug discovery paradigms are also summarized. MDPI 2020-11-24 /pmc/articles/PMC7727666/ /pubmed/33255277 http://dx.doi.org/10.3390/ijms21238893 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Li, Junjun Hua, Ying Miyagawa, Shigeru Zhang, Jingbo Li, Lingjun Liu, Li Sawa, Yoshiki hiPSC-Derived Cardiac Tissue for Disease Modeling and Drug Discovery |
title | hiPSC-Derived Cardiac Tissue for Disease Modeling and Drug Discovery |
title_full | hiPSC-Derived Cardiac Tissue for Disease Modeling and Drug Discovery |
title_fullStr | hiPSC-Derived Cardiac Tissue for Disease Modeling and Drug Discovery |
title_full_unstemmed | hiPSC-Derived Cardiac Tissue for Disease Modeling and Drug Discovery |
title_short | hiPSC-Derived Cardiac Tissue for Disease Modeling and Drug Discovery |
title_sort | hipsc-derived cardiac tissue for disease modeling and drug discovery |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7727666/ https://www.ncbi.nlm.nih.gov/pubmed/33255277 http://dx.doi.org/10.3390/ijms21238893 |
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