MR may interact with NFAT1 and activator protein-1 to control IFN-γ in T cells and to regulate target organ damage and ultimately BP. Targeting MR in T cells specifically may be an effective novel approach for hypertension treatment.
Emerging studies suggest that lipid accumulates in the kidneys during diabetic kidney disease (DKD). However, the correlation between ectopic lipid accumulation with tubular damage has not been thoroughly elucidated to date. Using Oil Red staining, lipid accumulation was observed in the kidneys of type 2 DKD patients (classes II–III) and db/db mice compared with the control and was predominantly located in the proximal tubular compartment. Immunohistochemistry (IHC) staining showed that the intensity of adipose differentiation related protein (ADRP) and sterol regulatory element binding protein-1 (SREBP-1) was clearly up-regulated, which was positively correlated with the tubulointerstitial damage score and inflammation. Furthermore, the urine ADRP content significantly increased in DKD patients compared with the control, which positively correlated with abnormal lipid metabolism, serum creatinine, urine N-acetyl-β-glucosaminidase (NAG), albumin excretion (albumin-to-creatinine ratio (ACR)), and tumor necrosis factor-α (TNF-α) expression. However, there was no significant difference observed in plasma ADRP levels. In addition, the expression of SREBP-1 protein was dramatically increased in peripheral blood mononuclear cells (PBMCs) isolated from DKD patients, which was also tightly correlated with urine NAG, ACR, and TNF-α levels. In vitro studies demonstrated increased ADRP and SREBP-1 expression accompanied by lipid accumulation in HK-2 cells cultured in high glucose (HG). HG induced high levels of TNF-α expression, which was partially blocked by transfection of ADRP siRNA or SREBP-1 siRNA. These data indicated that ADRP and SREBP-1 are crucial factors that mediate lipid accumulation with tubular damage and inflammation in DKD, and ectopic lipid accumulation may serve as a novel therapeutic target for amelioration of tubular injury in DKD.
LIM kinase 1 (Limk1) is associated with cell prolife-ration and metastasis and its dysregulated expression has been observed in many types of cancer. The present study aimed to examine the role of Limk1 in the development of ovarian cancer, as well as the underlying molecular mechanism involved. The results showed that increased Limk1 and decreased miR-138 expression co-existed in ovarian cancer. Furthermore, knockout of Limk1 or the overexpression of miR-138 resulted in reduced cell invasion and migration, while silencing of miR-138 led to enhancement of the invasion and migration of ovarian cancer cells. Cell growth was inhibited by the overexpression of miR-138, although not by the knockout of Limk1. miR-138 directly targeted Limk1 and inhibited ovarian cancer cell growth by PCNA and Bcl-2. Moreover, Limk1/cofilin/p-cofilin is likely a critical signaling pathway involving in miR-138 modulation of ovarian cancer cell metastasis. The results provide evidence supporting miR-138/Limk1 as a novel diagnostic or therapeutic target for ovarian cancer.
Diabetic nephropathy (DN) is a primary cause of renal failure. However, studies providing renal gene expression profiles of diabetic tubulointerstitial injury are scarce and its molecular mechanisms still await clarification. To identify vital genes involved in the diabetic tubulointerstitial injury, three microarray data sets from gene expression omnibus (GEO) were downloaded. A total of 127 differentially expressed genes (DEGs) were identified by limma package. Gene set enrichment analysis (GSEA) plots showed that sister chromatid cohesion was the most significant enriched gene set positively correlated with the DN group while retinoid X receptor binding was the most significant enriched gene set positively correlated with the control group. Enriched Gene Ontology (GO) annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of DEGs mostly included extracellular matrix organization, extracellular space, extracellular matrix structural constituent, and Staphylococcus aureus infection. Twenty hub genes from three significant modules were ascertained by Cytoscape. Correlation analysis and subgroup analysis between hub genes and clinical features of DN showed that ALB, ANXA1, APOH, C3, CCL19, COL1A2, COL3A1, COL4A1, COL6A3, CXCL6, DCN, EGF, HRG, KNG1, LUM, SERPINA3, SPARC, SRGN, and TIMP1 may involve in diabetic tubulointerstitial injury. ConnectivityMap analysis indicated the most significant three compounds are 5182598, thapsigargin and 5224221. In conclusion, this study may provide new insights into the molecular mechanisms underlying diabetic tubulointerstitial injury as well as potential targets for diagnosis and therapeutics of DN.
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