2019
DOI: 10.1080/0886022x.2019.1641413
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High glucose and TGF-β1 reduce expression of endoplasmic reticulum-resident selenoprotein S and selenoprotein N in human mesangial cells

Abstract: There are seven endoplasmic reticulum (ER)-resident selenoproteins in human body and they can regulate the inflammation, oxidative stress, and ER stress. We established transforming growth factor-b1 (TGF-b1) or high glucose (HG) induced human mesangial cells (HMCs) fibronectin expression model in vitro. Next, the expression changes of seven ER-resident selenoproteins were detected under HG conditions and we found selenoprotein S (SELENOS), selenoprotein N (SELENON) were significantly down-regulated but selenop… Show more

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Cited by 10 publications
(7 citation statements)
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“…We know that TGF-β is a multifunctional cytokine that induces tissue fibrosis and epithelial-mesenchymal transition [ 34 ]. Recent in vitro studies using lung fibroblasts and mesangial cells have revealed that ER stress caused the activation of the TGF-β pathway followed by fibrosis [ 35 37 ]. Our observation is in line with these findings; elevated ER stress led to an increased expression of TGF-β and thereby renal fibrosis.…”
Section: Discussionmentioning
confidence: 99%
“…We know that TGF-β is a multifunctional cytokine that induces tissue fibrosis and epithelial-mesenchymal transition [ 34 ]. Recent in vitro studies using lung fibroblasts and mesangial cells have revealed that ER stress caused the activation of the TGF-β pathway followed by fibrosis [ 35 37 ]. Our observation is in line with these findings; elevated ER stress led to an increased expression of TGF-β and thereby renal fibrosis.…”
Section: Discussionmentioning
confidence: 99%
“…[ [153][154][155] Selenoprotein K (SELENOK) -Quality control within the ER Protection against ERS and oxidative injury [152] SELENOK expression downregulated by glucose [156] Selenoprotein V (SELENOV) -…”
Section: Selenium Transport and Storage Antioxidant Defensementioning
confidence: 99%
“…This limitation may lead to non-reproducible data. The present study aimed to evaluate the performance of ve frequently used reference genes (Actb, Hprt, Gapdh, 18S and Ppia) in renal models [18][19][20][21][22][23][24][25][26][27][28][29] and to identify the most stable ones and the optimal number of genes for normalization the expressions of target genes by RT-PCR in MCs treated with TGF-β model.…”
Section: Introductionmentioning
confidence: 99%