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Validation of an adipose-liver human-on-a-chip model of NAFLD for preclinical therapeutic efficacy evaluation

Nonalcoholic fatty liver disease (NAFLD) is the most common liver disease and strongly correlates with the growing incidence of obesity and type II diabetes. We have developed a human-on-a-chip model composed of human hepatocytes and adipose tissue chambers capable of modeling the metabolic factors...

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Autores principales: Slaughter, Victoria L., Rumsey, John W., Boone, Rachel, Malik, Duaa, Cai, Yunqing, Sriram, Narasimhan Narasimhan, Long, Christopher J., McAleer, Christopher W., Lambert, Stephen, Shuler, Michael L., Hickman, J. J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222323/
https://www.ncbi.nlm.nih.gov/pubmed/34162924
http://dx.doi.org/10.1038/s41598-021-92264-2
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author Slaughter, Victoria L.
Rumsey, John W.
Boone, Rachel
Malik, Duaa
Cai, Yunqing
Sriram, Narasimhan Narasimhan
Long, Christopher J.
McAleer, Christopher W.
Lambert, Stephen
Shuler, Michael L.
Hickman, J. J.
author_facet Slaughter, Victoria L.
Rumsey, John W.
Boone, Rachel
Malik, Duaa
Cai, Yunqing
Sriram, Narasimhan Narasimhan
Long, Christopher J.
McAleer, Christopher W.
Lambert, Stephen
Shuler, Michael L.
Hickman, J. J.
author_sort Slaughter, Victoria L.
collection PubMed
description Nonalcoholic fatty liver disease (NAFLD) is the most common liver disease and strongly correlates with the growing incidence of obesity and type II diabetes. We have developed a human-on-a-chip model composed of human hepatocytes and adipose tissue chambers capable of modeling the metabolic factors that contribute to liver disease development and progression, and evaluation of the therapeutic metformin. This model uses a serum-free, recirculating medium tailored to represent different human metabolic conditions over a 14-day period. The system validated the indirect influence of adipocyte physiology on hepatocytes that modeled important aspects of NAFLD progression, including insulin resistant biomarkers, differential adipokine signaling in different media and increased TNF-α-induced steatosis observed only in the two-tissue model. This model provides a simple but unique platform to evaluate aspects of an individual factor’s contribution to NAFLD development and mechanisms as well as evaluate preclinical drug efficacy and reassess human dosing regimens.
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spelling pubmed-82223232021-06-24 Validation of an adipose-liver human-on-a-chip model of NAFLD for preclinical therapeutic efficacy evaluation Slaughter, Victoria L. Rumsey, John W. Boone, Rachel Malik, Duaa Cai, Yunqing Sriram, Narasimhan Narasimhan Long, Christopher J. McAleer, Christopher W. Lambert, Stephen Shuler, Michael L. Hickman, J. J. Sci Rep Article Nonalcoholic fatty liver disease (NAFLD) is the most common liver disease and strongly correlates with the growing incidence of obesity and type II diabetes. We have developed a human-on-a-chip model composed of human hepatocytes and adipose tissue chambers capable of modeling the metabolic factors that contribute to liver disease development and progression, and evaluation of the therapeutic metformin. This model uses a serum-free, recirculating medium tailored to represent different human metabolic conditions over a 14-day period. The system validated the indirect influence of adipocyte physiology on hepatocytes that modeled important aspects of NAFLD progression, including insulin resistant biomarkers, differential adipokine signaling in different media and increased TNF-α-induced steatosis observed only in the two-tissue model. This model provides a simple but unique platform to evaluate aspects of an individual factor’s contribution to NAFLD development and mechanisms as well as evaluate preclinical drug efficacy and reassess human dosing regimens. Nature Publishing Group UK 2021-06-23 /pmc/articles/PMC8222323/ /pubmed/34162924 http://dx.doi.org/10.1038/s41598-021-92264-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Slaughter, Victoria L.
Rumsey, John W.
Boone, Rachel
Malik, Duaa
Cai, Yunqing
Sriram, Narasimhan Narasimhan
Long, Christopher J.
McAleer, Christopher W.
Lambert, Stephen
Shuler, Michael L.
Hickman, J. J.
Validation of an adipose-liver human-on-a-chip model of NAFLD for preclinical therapeutic efficacy evaluation
title Validation of an adipose-liver human-on-a-chip model of NAFLD for preclinical therapeutic efficacy evaluation
title_full Validation of an adipose-liver human-on-a-chip model of NAFLD for preclinical therapeutic efficacy evaluation
title_fullStr Validation of an adipose-liver human-on-a-chip model of NAFLD for preclinical therapeutic efficacy evaluation
title_full_unstemmed Validation of an adipose-liver human-on-a-chip model of NAFLD for preclinical therapeutic efficacy evaluation
title_short Validation of an adipose-liver human-on-a-chip model of NAFLD for preclinical therapeutic efficacy evaluation
title_sort validation of an adipose-liver human-on-a-chip model of nafld for preclinical therapeutic efficacy evaluation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8222323/
https://www.ncbi.nlm.nih.gov/pubmed/34162924
http://dx.doi.org/10.1038/s41598-021-92264-2
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