Modeling diabetic endothelial dysfunction with patient-specific induced pluripotent stem cells.

Modeling diabetic endothelial dysfunction with patient-specific induced pluripotent stem cells.
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DOI:
10.1002/btm2.10592
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发表时间:
2023-11
影响因子:
7.4
通讯作者:
Jiang, Bin
Jiang, Bin
中科院分区:
工程技术2区
文献类型:
--
作者:
Gorashi, Rayyan;Rivera-Bolanos, Nancy;Dang, Caitlyn;Chai, Cedric;Kovacs, Beatrix;Alharbi, Sara;Ahmed, Syeda Subia;Goyal, Yogesh;Ameer, Guillermo;Jiang, Bin

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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.
在均质癌细胞的药物治疗后,出现了多种克隆命运。
DOI: 10.1038/s41586-023-06342-8
发表时间: 2023-08
期刊: NATURE
影响因子: 64.8
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Goyal, Yogesh;Busch, Gianna T. T.;Pillai, Maalavika;Li, Jingxin;Boe, Ryan H. H.;Grody, Emanuelle I. I.;Chelvanambi, Manoj;Dardani, Ian P. P.;Emert, Benjamin;Bodkin, Nicholas;Braun, Jonas;Fingerman, Dylan;Kaur, Amanpreet;Jain, Naveen;Ravindran, Pavithran T. T.;Mellis, Ian A. A.;Kiani, Karun;Alicea, Gretchen M. M.;Fane, Mitchell E. E.;Ahmed, Syeda Subia;Li, Haiyin;Chen, Yeqing;Chai, Cedric;Kaster, Jessica;Witt, Russell G. G.;Lazcano, Rossana;Ingram, Davis R. R.;Johnson, Sarah B. B.;Wani, Khalida;Dunagin, Margaret C. C.;Lazar, Alexander J. J.;Weeraratna, Ashani T. T.;Wargo, Jennifer A. A.;Herlyn, Meenhard;Raj, Arjun
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DOI: 10.1038/nrneph.2014.116
发表时间: 2014-09
期刊: Nature reviews. Nephrology
影响因子: --
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DOI: 10.1186/s13059-022-02654-6
发表时间: 2022-04-05
期刊: Genome biology
影响因子: 12.3
作者:
Jiang CL;Goyal Y;Jain N;Wang Q;Truitt RE;Coté AJ;Emert B;Mellis IA;Kiani K;Yang W;Jain R;Raj A
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DOI: 10.1016/j.celrep.2014.09.055
发表时间: 2014-11-06
期刊: CELL REPORTS
影响因子: 8.8
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发表时间: 2022-03-23
影响因子: 7.2
作者:
Lapray, Marion;Petit, Jean-Michel;Bouillet, Benjamin
通讯作者: Bouillet, Benjamin