Prediction of diabetes mellitus after kidney transplantation using patient-specific induced pluripotent stem cells

被引:0
作者
Lim, Sun Woo [1 ,2 ]
Shin, Yoo Jin [1 ,2 ]
Cui, Sheng [1 ,2 ]
Ko, Eun Jeong [1 ,2 ,3 ]
Chung, Byung Ha [1 ,2 ,3 ]
Yang, Chul Woo [1 ,2 ,3 ]
机构
[1] Catholic Univ Korea, Seoul St Marys Hosp, Coll Med, Convergent Res Consortium Immunol Dis, Seoul, South Korea
[2] Catholic Univ Korea, Coll Med, Transplant Res Ctr, Seoul, South Korea
[3] Catholic Univ Korea, Seoul St Marys Hosp, Coll Med, Dept Internal Med,Div Nephrol, 222 Banpo Daero, Seoul 06591, South Korea
基金
新加坡国家研究基金会;
关键词
Induced pluripotent stem cells; Kidney transplantation; Diabetes mellitus; Insulin secreting cells; Tacrolimus;
D O I
10.23876/j.krcp.22.251
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background: Multiple risk factors are involved in new-onset diabetes mellitus (DM) after organ transplantation; however, their ability to predict clinical prognosis remains unclear. Therefore, we investigated whether patient-specific induced pluripotent stem cells (iPSCs) could help predict DM development before performing kidney transplantation (KT). Methods: We first performed whole transcriptome and functional enrichment analyses of KT patient-derived iPSCs. Our results revealed that insulin resistance, type 2 DM, and transforming growth factor beta signaling pathways are associated between the groups of DM and non-DM. We next determined whether the genetic background was associated with development of iPSCs into pancreatic Results: The levels of differentiation-related key markers of PP cells were significantly lower in the DM group than in the non-DM group. Moreover, the results of tacrolimus toxicity screening showed a significant decrease in the number of PP cells of the DM group compared with the non-DM group, suggesting that these cells are more susceptible to tacrolimus toxicity. Conclusion: Taken together, these results indicate that PP cells of the DM group showed low developmental potency accompanied by a significantly different genetic background compared with the non-DM group. Thus, genetic analysis can be used to predict the risk of DM before KT.
引用
收藏
页码:236 / 249
页数:14
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