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Modeling diabetic endothelial dysfunction with patient‐specific induced pluripotent stem cells

Diabetes is a known risk factor for various cardiovascular complications, mediated by endothelial dysfunction. Despite the high prevalence of this metabolic disorder, there is a lack of in vitro models that recapitulate the complexity of genetic and environmental factors associated with diabetic end...

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Autores principales: Gorashi, Rayyan, Rivera‐Bolanos, Nancy, Dang, Caitlyn, Chai, Cedric, Kovacs, Beatrix, Alharbi, Sara, Ahmed, Syeda Subia, Goyal, Yogesh, Ameer, Guillermo, Jiang, Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658533/
https://www.ncbi.nlm.nih.gov/pubmed/38023728
http://dx.doi.org/10.1002/btm2.10592
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author Gorashi, Rayyan
Rivera‐Bolanos, Nancy
Dang, Caitlyn
Chai, Cedric
Kovacs, Beatrix
Alharbi, Sara
Ahmed, Syeda Subia
Goyal, Yogesh
Ameer, Guillermo
Jiang, Bin
author_facet Gorashi, Rayyan
Rivera‐Bolanos, Nancy
Dang, Caitlyn
Chai, Cedric
Kovacs, Beatrix
Alharbi, Sara
Ahmed, Syeda Subia
Goyal, Yogesh
Ameer, Guillermo
Jiang, Bin
author_sort Gorashi, Rayyan
collection PubMed
description Diabetes is a known risk factor for various cardiovascular complications, mediated by endothelial dysfunction. Despite the high prevalence of this metabolic disorder, there is a lack of in vitro models that recapitulate the complexity of genetic and environmental factors associated with diabetic endothelial dysfunction. Here, we utilized human induced pluripotent stem cell (iPSC)‐derived endothelial cells (ECs) to develop in vitro models of diabetic endothelial dysfunction. We found that the diabetic phenotype was recapitulated in diabetic patient‐derived iPSC‐ECs, even in the absence of a diabetogenic environment. Subsequent exposure to culture conditions that mimic the diabetic clinical chemistry induced a diabetic phenotype in healthy iPSC‐ECs but did not affect the already dysfunctional diabetic iPSC‐ECs. RNA‐seq analysis revealed extensive transcriptome‐wide differences between cells derived from healthy individuals and diabetic patients. The in vitro disease models were used as a screening platform which identified angiotensin receptor blockers (ARBs) that improved endothelial function in vitro for each patient. In summary, we present in vitro models of diabetic endothelial dysfunction using iPSC technology, taking into account the complexity of genetic and environmental factors in the metabolic disorder. Our study provides novel insights into the pathophysiology of diabetic endothelial dysfunction and highlights the potential of iPSC‐based models for drug discovery and personalized medicine.
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spelling pubmed-106585332023-08-30 Modeling diabetic endothelial dysfunction with patient‐specific induced pluripotent stem cells Gorashi, Rayyan Rivera‐Bolanos, Nancy Dang, Caitlyn Chai, Cedric Kovacs, Beatrix Alharbi, Sara Ahmed, Syeda Subia Goyal, Yogesh Ameer, Guillermo Jiang, Bin Bioeng Transl Med Regular Issue Articles Diabetes is a known risk factor for various cardiovascular complications, mediated by endothelial dysfunction. Despite the high prevalence of this metabolic disorder, there is a lack of in vitro models that recapitulate the complexity of genetic and environmental factors associated with diabetic endothelial dysfunction. Here, we utilized human induced pluripotent stem cell (iPSC)‐derived endothelial cells (ECs) to develop in vitro models of diabetic endothelial dysfunction. We found that the diabetic phenotype was recapitulated in diabetic patient‐derived iPSC‐ECs, even in the absence of a diabetogenic environment. Subsequent exposure to culture conditions that mimic the diabetic clinical chemistry induced a diabetic phenotype in healthy iPSC‐ECs but did not affect the already dysfunctional diabetic iPSC‐ECs. RNA‐seq analysis revealed extensive transcriptome‐wide differences between cells derived from healthy individuals and diabetic patients. The in vitro disease models were used as a screening platform which identified angiotensin receptor blockers (ARBs) that improved endothelial function in vitro for each patient. In summary, we present in vitro models of diabetic endothelial dysfunction using iPSC technology, taking into account the complexity of genetic and environmental factors in the metabolic disorder. Our study provides novel insights into the pathophysiology of diabetic endothelial dysfunction and highlights the potential of iPSC‐based models for drug discovery and personalized medicine. John Wiley & Sons, Inc. 2023-08-30 /pmc/articles/PMC10658533/ /pubmed/38023728 http://dx.doi.org/10.1002/btm2.10592 Text en © 2023 The Authors. Bioengineering & Translational Medicine published by Wiley Periodicals LLC on behalf of American Institute of Chemical Engineers. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Regular Issue Articles
Gorashi, Rayyan
Rivera‐Bolanos, Nancy
Dang, Caitlyn
Chai, Cedric
Kovacs, Beatrix
Alharbi, Sara
Ahmed, Syeda Subia
Goyal, Yogesh
Ameer, Guillermo
Jiang, Bin
Modeling diabetic endothelial dysfunction with patient‐specific induced pluripotent stem cells
title Modeling diabetic endothelial dysfunction with patient‐specific induced pluripotent stem cells
title_full Modeling diabetic endothelial dysfunction with patient‐specific induced pluripotent stem cells
title_fullStr Modeling diabetic endothelial dysfunction with patient‐specific induced pluripotent stem cells
title_full_unstemmed Modeling diabetic endothelial dysfunction with patient‐specific induced pluripotent stem cells
title_short Modeling diabetic endothelial dysfunction with patient‐specific induced pluripotent stem cells
title_sort modeling diabetic endothelial dysfunction with patient‐specific induced pluripotent stem cells
topic Regular Issue Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10658533/
https://www.ncbi.nlm.nih.gov/pubmed/38023728
http://dx.doi.org/10.1002/btm2.10592
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