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Comparative RNA-Seq transcriptome analyses of diabetic nerve and kidney disease I

ABSTRACT: Comparative RNA-Seq transcriptome analyses of diabetic nerve and kidney disease I

PROVIDER: PRJNA510066 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR8317930.fastq.gz	Fastqsanger.gz
	SRR8317940.fastq.gz	Fastqsanger.gz
	SRR8317950.fastq.gz	Fastqsanger.gz
	SRR8317960.fastq.gz	Fastqsanger.gz
	SRR8317970.fastq.gz	Fastqsanger.gz

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Comparative RNA-Seq transcriptome analyses of diabetic nerve and kidney disease

Project description:Comparative RNA-Seq transcriptome analyses of diabetic nerve and kidney disease

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Comparative RNA-Seq transcriptome analyses of diabetic nerve and kidney disease I

Project description:Treating insulin resistance with pioglitazone normalizes renal function and improves small nerve fibre function and architecture; however, it does not affect large myelinated nerve fibre function in mouse models of type 2 diabetes (T2DM), indicating that pioglitazone affects the body in a tissue-specific manner. To identify distinct molecular pathways regulating diabetic peripheral neuropathy (DPN) and nephropathy (DN), as well those affected by pioglitazone, we assessed DPN and DN gene transcript expression in control and diabetic mice with or without pioglitazone treatment. Differential expression analysis and self-organizing maps were then used in parallel to analyse transcriptome data. Differential expression analysis showed that gene expression promoting cell death and the inflammatory response was reversed in the kidney glomeruli but unchanged or exacerbated in sciatic nerve by pioglitazone. Self-organizing map analysis revealed that mitochondrial dysfunction was normalized in kidney and nerve by treatment; however, conserved pathways were opposite in their directionality of regulation. Collectively, our data suggest inflammation may drive large fibre dysfunction, while mitochondrial dysfunction may drive small fibre dysfunction in T2DM. Moreover, targeting both of these pathways is likely to improve DN. This study supports growing evidence that systemic metabolic changes in T2DM are associated with distinct tissue-specific metabolic reprogramming in kidney and nerve and that these changes play a critical role in DN and small fibre DPN pathogenesis. These data also highlight the potential dangers of a 'one size fits all' approach to T2DM therapeutics, as the same drug may simultaneously alleviate one complication while exacerbating another. PMID: 28272773

2018-12-15 | GSE123853 | GEO

Comparative RNA-Seq transcriptome analyses of diabetic nerve and kidney disease II

Project description:Comparative RNA-Seq transcriptome analyses of diabetic nerve and kidney disease II

| PRJNA923355 | ENA

Comparative RNA-Seq transcriptome analyses of diabetic nerve and kidney disease II

Project description:Diabetic kidney disease (DKD) and diabetic peripheral neuropathy (DPN) are common complications of type 1 (T1D) and type 2 (T2D) diabetes. However, the mechanisms underlying the development and progression of these complications are unclear. Thus, the goal of the current study was to use system biology approaches to examine DKD and DPN pathogenesis in T1D and T2D mouse models on the same genetic background. We optimized a streptozotocin-induced db/+ murine model of T1D and compared it to our established db/db T2D mouse model of the same C57BLKS/J background and confirmed both develop DKD and DPN. Transcriptomic data from glomeruli and sciatic nerve tissue from T1D and T2D mice were analyzed by self-organizing map and differential gene expression analysis followed by functional enrichment. Consistent with prior literature, pathways related to immune function and inflammation were dysregulated in both DKD and DPN in T1D and T2D mice. The gene-level analysis identified a high degree of concordance in DEGs in both DKD and DPN and across diabetes type, suggesting genetic background influences diabetic complications. These findings offer new insight as the influence of genetic background on DPN in mouse models has not been well defined. Collectively, these findings support the role of inflammation and genetic background in complications of both T1D and T2D.

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Transcriptome Analysis of Human Diabetic Kidney Disease

Project description:This SuperSeries is composed of the following subset Series: GSE30528: Transcriptome Analysis of Human Diabetic Kidney Disease (DKD Glomeruli vs. Control Glomeruli) GSE30529: Transcriptome Analysis of Human Diabetic Kidney Disease (DKD Tubuli vs. Control Tubuli) GSE30566: Transcriptome Analysis of Human Diabetic Kidney Disease (Control Glomeruli vs. Control Tubuli) Refer to individual Series

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Project description:Bypass and diabetic kidney disease

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Comparative RNA-Seq transcriptome analyses of diabetic nerve and kidney disease

Project description:This SuperSeries is composed of the SubSeries listed below.

2023-01-12 | GSE222778 | GEO

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Project description:Since the etiology of diabetic chronic kidney disease (CKD) is multifactorial, studies on DNA methylation for kidney function deterioration have rarely been performed despite the need for an epigenetic approach. Therefore, this study aimed to identify epigenetic markers associated with CKD progression based on the decline in the estimated glomerular filtration rate in diabetic CKD in Korea.

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Project description:Analysis of gene expression changes in differentiated human podocytes treated with the serum from patients with (DKD+) or without (DKD-) diabetic kidney disease when compared to normal subjects (C). The hypothesis is that the three groups can be distinghed by their differential gene expression pattern. The results obtained revealed important information regarding differences in gene expression in human podocytes treated with the serum from patients with (DKD+) or without (DKD-) diabetic kidney disease when compared to normal subjects (C). Human podocytes were contacted with the serum from patients with diabetes and kidney disease (DKD+) or without kidney disease (DKD-) and compared to normal human podocytes contacted with serum from patients without diabetes (C).

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