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Engineered tissues and strategies to overcome challenges in drug development

Current preclinical studies in drug development utilize high-throughput in vitro screens to identify drug leads, followed by both in vitro and in vivo models to predict lead candidates' pharmacokinetic and pharmacodynamic properties. The goal of these studies is to reduce the number of lead dru...

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Autores principales: Khalil, Andrew S., Jaenisch, Rudolf, Mooney, David J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518978/
https://www.ncbi.nlm.nih.gov/pubmed/32987094
http://dx.doi.org/10.1016/j.addr.2020.09.012
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author Khalil, Andrew S.
Jaenisch, Rudolf
Mooney, David J.
author_facet Khalil, Andrew S.
Jaenisch, Rudolf
Mooney, David J.
author_sort Khalil, Andrew S.
collection PubMed
description Current preclinical studies in drug development utilize high-throughput in vitro screens to identify drug leads, followed by both in vitro and in vivo models to predict lead candidates' pharmacokinetic and pharmacodynamic properties. The goal of these studies is to reduce the number of lead drug candidates down to the most likely to succeed in later human clinical trials. However, only 1 in 10 drug candidates that emerge from preclinical studies will succeed and become an approved therapeutic. Lack of efficacy or undetected toxicity represents roughly 75% of the causes for these failures, despite these parameters being the primary exclusion criteria in preclinical studies. Recently, advances in both biology and engineering have created new tools for constructing new preclinical models. These models can complement those used in current preclinical studies by helping to create more realistic representations of human tissues in vitro and in vivo. In this review, we describe current preclinical models to identify their value and limitations and then discuss select areas of research where improvements in preclinical models are particularly needed to advance drug development. Following this, we discuss design considerations for constructing preclinical models and then highlight recent advances in these efforts. Taken together, we aim to review the advances as of 2020 surrounding the prospect of biological and engineering tools for adding enhanced biological relevance to preclinical studies to aid in the challenges of failed drug candidates and the burden this poses on the drug development enterprise and thus healthcare.
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spelling pubmed-75189782020-09-28 Engineered tissues and strategies to overcome challenges in drug development Khalil, Andrew S. Jaenisch, Rudolf Mooney, David J. Adv Drug Deliv Rev Article Current preclinical studies in drug development utilize high-throughput in vitro screens to identify drug leads, followed by both in vitro and in vivo models to predict lead candidates' pharmacokinetic and pharmacodynamic properties. The goal of these studies is to reduce the number of lead drug candidates down to the most likely to succeed in later human clinical trials. However, only 1 in 10 drug candidates that emerge from preclinical studies will succeed and become an approved therapeutic. Lack of efficacy or undetected toxicity represents roughly 75% of the causes for these failures, despite these parameters being the primary exclusion criteria in preclinical studies. Recently, advances in both biology and engineering have created new tools for constructing new preclinical models. These models can complement those used in current preclinical studies by helping to create more realistic representations of human tissues in vitro and in vivo. In this review, we describe current preclinical models to identify their value and limitations and then discuss select areas of research where improvements in preclinical models are particularly needed to advance drug development. Following this, we discuss design considerations for constructing preclinical models and then highlight recent advances in these efforts. Taken together, we aim to review the advances as of 2020 surrounding the prospect of biological and engineering tools for adding enhanced biological relevance to preclinical studies to aid in the challenges of failed drug candidates and the burden this poses on the drug development enterprise and thus healthcare. Elsevier B.V. 2020 2020-09-26 /pmc/articles/PMC7518978/ /pubmed/32987094 http://dx.doi.org/10.1016/j.addr.2020.09.012 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Khalil, Andrew S.
Jaenisch, Rudolf
Mooney, David J.
Engineered tissues and strategies to overcome challenges in drug development
title Engineered tissues and strategies to overcome challenges in drug development
title_full Engineered tissues and strategies to overcome challenges in drug development
title_fullStr Engineered tissues and strategies to overcome challenges in drug development
title_full_unstemmed Engineered tissues and strategies to overcome challenges in drug development
title_short Engineered tissues and strategies to overcome challenges in drug development
title_sort engineered tissues and strategies to overcome challenges in drug development
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7518978/
https://www.ncbi.nlm.nih.gov/pubmed/32987094
http://dx.doi.org/10.1016/j.addr.2020.09.012
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