Project description:Aim: To compare transcriptomic profiles of kidney cortex between healthy db/m mice, and mice with early stage diabetic kidney disease (uninephrectomized db/db injected with LacZAAV) and advanced stage diabetic kidney disease (uninephrectomized db/db mice injected with ReninAAV) Methods: Bulk RNA sequecing using the Illumina NextSeq 500 platform. Results: We identified 5,500 differentially expressed genes (DEGs) in db/db UNx LacZAVV mice compared to healthy controls, and 4,470 DEGs were identified in db/db UNx ReninAAV mice compared to healthy controls. Also, we showed in supplementery files that 3,039 DEGs were identified between db/db UNx LacZAAV mice and db/db UNx ReninAAV mice. Conclusion: We identified several gene expression changes in our two animal models of diabetic kidney disease.
Project description:Dyslipidemia is a significant risk factor for progression of diabetic kidney disease (DKD). To identify individual lipids and lipid networks that may be involved in DKD progression, we performed untargeted lipidomic analysis of kidney cortex tissue from diabetic db/db and db/db eNOS-/- mice along with nondiabetic littermate controls. A subset of mice were treated with the renin-angiotensin system (RAS) inhibitors, lisinopril and losartan, which improves the DKD phenotype in the db/db eNOS-/- mouse model. Of the three independent variables in this study, diabetes had the largest impact on overall lipid levels in the kidney cortex, while eNOS expression and RAS inhibition had smaller impacts on kidney lipid levels. Kidney lipid network architecture, particularly of networks involving glycerolipids such as triacylglycerols, was substantially disrupted by worsening kidney disease in the db/db eNOS-/- mice compared to the db/db mice, a feature that was reversed with RAS inhibition. This was associated with decreased expression of the stearoyl-CoA desaturases, Scd1 and Scd2, with RAS inhibition. In addition to the known salutary effect of RAS inhibition on DKD progression, our results suggest a previously unrecognized role for RAS inhibition on the kidney triacylglycerol lipid metabolic network. Keywords: Dyslipidemia is a significant risk factor for progression of diabetic kidney disease (DKD). To identify individual lipids and lipid networks that may be involved in DKD progression, we performed untargeted lipidomic analysis of kidney cortex tissue from diabetic db/db and db/db eNOS-/- mice along with non-diabetic littermate controls. A subset of mice were treated with the renin-angiotensin system (RAS) inhibitors, lisinopril and losartan, which improves the DKD phenotype in the db/db eNOS-/- mouse model. Of the three independent variables in this study, diabetes had the largest impact on overall lipid levels in the kidney cortex, while eNOS expression and RAS inhibition had smaller impacts on kidney lipid levels. Kidney lipid network architecture, particularly of networks involving glycerolipids such as triacylglycerols, was substantially disrupted by worsening kidney disease in the db/db eNOS-/- mice compared to the db/db mice, a feature that was reversed with RAS inhibition. This was associated with decreased expression of the stearoyl-CoA desaturases, Scd1 and Scd2, with RAS inhibition. In addition to the known salutary effect of RAS inhibition on DKD progression, our results suggest a previously unrecognized role for RAS inhibition on the kidney triacylglycerol lipid metabolic network.
Project description:This dataset utilized uninephrectomized db/db mice and db/m mice as a control for comparison. We performed bulk RNA-seq studies at two time points (26 and 35 weeks of age) to identify the mechanism of severity of diabetic kidney disease.
Project description:Diabetes is associated with altered metabolism, but how altered metabolism contributes to the development of complications such as diabetic kidney disease is unknown. We used a systems approach with transcriptomics and mass spectrometry (MS)-based metabolomics to determine alterations in carbohydrate and lipid metabolism in kidney cortex tissue from 24-week-old BKS db/db diabetic mice and db/+ controls. Glomerular-deprived kidney cortex (kidney proximal tubule) gene expression was profiled and compared with metabolite data. Transcriptomic and metabolomic profiling demonstrated an increase in both glycolysis and fatty acid beta-oxidation,
Project description:We investigated the gene expression profiles of RNA isolated from kidney glomeruli from aged, 25 week old type-2 diabetic (db/db) and non-diabetic mice.
Project description:We investigated the gene expression profiles of RNA isolated from kidney glomeruli and renal tubules from aged, 24 week old type-2 diabetic (db/db) and non-diabetic mice
Project description:Sphingomyelin phosphodiesterase acid-like 3b (SMPDL3b) is a lipid raft enzyme that regulates plasma membrane (PM) fluidity. Here we report that SMPDL3b excess, as observed in podocytes in diabetic kidney disease (DKD), impairs insulin receptor isoform B-dependent pro-survival insulin signaling by interfering with insulin receptor isoforms binding to caveolin-1 in PM. SMPDL3b excess affects the production of active sphingolipids resulting in decreased ceramide-1-phosphate (C1P) content as observed in human podocytes in vitro and in kidney cortexes of diabetic db/db mice in vivo. Podocyte-specific Smpdl3b deficiency in db/db mice is sufficient to restore kidney cortex C1P content and to protect from DKD. Exogenous administration of C1P restores IR signaling in vitro and prevents established DKD progression in vivo. Taken together, we identified SMPDL3b as a modulator of insulin signaling and demonstrated that supplementation with exogenous C1P may represent a lipid therapeutic strategy to treat diabetic complications such as DKD.
Project description:We investigated the gene expression profiles of RNA isolated from kidney glomeruli from aged, 25 week old type-2 diabetic (db/db) and non-diabetic mice. In order to investigate the consequences of hyperglycemia on the pathogenesis and progression of diabetic nephropathy Kidney glomeruli from 3 diabetic and 3 non-diabetic, control mice were isolated and RNA purified for RNA-Seq analysis on the Illumina HiSeq 2000. The goal of the project was to generate comprehensive list of noncoding RNA genes differentially regulated between the two conditions in order to identify novel targets for further study.
Project description:The type 2 diabetes medication, rosiglitazone, has come under scrutiny for possibly increasing the risk of cardiac disease and death. To investigate the effects of rosiglitazone on the diabetic heart, we performed cardiac transcriptional profiling of a murine model of type 2 diabetes, the C57BL/KLS-leprdb/leprdb (db/db) mouse. We compared cardiac gene expression profiles from three groups: untreated db/db mice (db-c), db/db mice after rosiglitazone treatment (db-t), and non-diabetic db/+ mice. Mice were divided into three groups: Non-diabetic controls (db/+), untreated diabetic controls (db-c), and rosiglitazone-treated diabetic mice (db-t). Whole-heart RNA from five mice from each of the three groups after four months with or without treatment was used for microarray analysis.Universal Reference RNAs for mouse (Stratagene, La Jolla, CA) were purchased as microarray reference controls.