高血糖通过 p38-MAPK 通路诱导人肾小管细胞的上皮-间质转化

IF 3.1 4区 医学 Q3 IMMUNOLOGY
Xiaoling Xiong, Xing Feng, Yuqing Ding
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引用次数: 0

摘要

背景:骨膜素通过调节细胞外基质的粘附、迁移和分化,在多种器官疾病中介导炎症和纤维化。研究表明,肥组织蛋白主要位于糖尿病肾病的扩张间质、肾小管间质和纤维化区域,与肾功能呈负相关。然而,其潜在机制仍未得到充分探究:方法:研究了高糖和高浓度 TGF-β1 条件下 HK-2 细胞中骨膜增生蛋白的表达。方法:研究了高糖和高浓度 TGF-β1 条件下 HK-2 细胞中骨膜增生蛋白的表达,并验证了骨膜增生蛋白参与 HK-2 细胞上皮-间质转分化的信号通路。在不同浓度的葡萄糖和TGF-β1作用下,通过RT-PCR、Western印迹分析和免疫荧光检测研究了骨膜增生蛋白的表达。还检测了 E-Cad、α-SMA 和 p38 蛋白的表达。通过 p38 抑制剂研究了高糖条件下骨膜增生蛋白、E-Cad 和 α-SMA 的影响。为了证明骨膜增生蛋白、p38和EMT标志物之间的相互作用,研究人员敲除了高糖和高TGF-β1条件下的骨膜增生蛋白,并对p38和磷酸化p38进行了评估:高糖(HG,22 mmol/L)和高TGF-β1(10 ng/mL)联合作用明显上调了骨膜增生蛋白的表达,刺激了α-SMA和p38的表达,同时抑制了E-Cad的表达。此外,p38-MAPK 信号通路参与了高糖环境下人肾小管的上皮-间质转化。值得注意的是,在HG和高TGF-β1的共同作用下,敲除骨膜增生蛋白能有效抑制p38和磷酸化p38的表达,验证了骨膜增生蛋白与p38-MAPK信号通路的相互作用:结论:TGF-β1的下游因子--骨膜增生蛋白在HG条件下受TGF-β1的正向调节,通过p38-MAPK信号通路影响HK-2细胞的上皮-间质分化。因此,骨膜增生蛋白可作为糖尿病肾病肾纤维化的生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Periostin Induces Epithelial-Mesenchymal Transition via p38-MAPK Pathway in Human Renal Tubular Cells by High Glucose

Periostin Induces Epithelial-Mesenchymal Transition via p38-MAPK Pathway in Human Renal Tubular Cells by High Glucose

Background

Periostin mediates inflammation and fibrosis by regulating extracellular matrix adhesion, migration, and differentiation in multiple organ diseases. Studies have shown periostin mainly located in the dilated mesangium, tubulointerstitial and fibrotic regions of the diabetic kidney disease, which was negatively correlated with renal function. However, the underlying mechanism remains poorly explored.

Methods

The expression of periostin in HK-2 cells was investigated under high glucose and high concentration of TGF-β1. The signaling pathway of periostin involved in epithelial-mesenchymal transdifferentiation of HK-2 cells was also validated. The expression of periostin were investigated by RT-PCR, western blot analysis and immunofluorescence assays with different concentrations of glucose and TGF-β1. The expression of E-Cad, α-SMA and p38 proteins were also detected. The effects of periostin, E-Cad, and α-SMA in high glucose were investigated by p38 inhibitors. To demonstrate the interaction among periostin, p38 and EMT markers, periostin under high glucose and high TGF-β1 was knocked down, resulting p38 and phosphorylated p38 was evaluated.

Results

The combined of high glucose (HG, 22 mmol/L) and high TGF-β1 (10 ng/mL) upregulated the expression of periostin obviously, stimulating the expression of α-SMA and p38 while inhibiting the expression of E-Cad. p38 inhibitors reduced the expression of periostin and α-SMA while promoted E-Cad protein expression in HK-2 cells under HG conditions. Additionally, p38-MAPK signal pathway was involved in epithelial-mesenchymal transition of human renal tubules in high glucose environment. Significant, knockdown periostin expression effectively inhibited the expression of p38 and phosphorylated p38 under the combination of HG and high TGF-β1, verifying the interaction of periostin with the p38-MAPK signaling pathway.

Conclusion

Periostin, a downstream factor of TGF-β1, is positively regulated by TGF-β1 under HG condition, affecting the epithelial-interstitial differentiation of HK-2 cells via p38-MAPK signaling pathway. Therefore, periostin may serve as a biomarker of renal fibrosis in diabetic kidney disease.

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来源期刊
Immunity, Inflammation and Disease
Immunity, Inflammation and Disease Medicine-Immunology and Allergy
CiteScore
3.60
自引率
0.00%
发文量
146
审稿时长
8 weeks
期刊介绍: Immunity, Inflammation and Disease is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research across the broad field of immunology. Immunity, Inflammation and Disease gives rapid consideration to papers in all areas of clinical and basic research. The journal is indexed in Medline and the Science Citation Index Expanded (part of Web of Science), among others. It welcomes original work that enhances the understanding of immunology in areas including: • cellular and molecular immunology • clinical immunology • allergy • immunochemistry • immunogenetics • immune signalling • immune development • imaging • mathematical modelling • autoimmunity • transplantation immunology • cancer immunology
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