Attenuated kidney oxidative metabolism in young adults with type 1 diabetes
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE279086 | GEO | 2024/11/11
REPOSITORIES: GEO
Similar Datasets
Project description:Attenuated kidney oxidative metabolism in young adults with type 1 diabetes
| PRJNA1170332 | ENA
Project description:Preclinical models of type 1 diabetes mellitus exhibit marked declines in skeletal muscle health including significant impairments in muscle repair. The present study investigated, for the first time, whether muscle repair was altered in young adults with uncomplicated type 1 diabetes (T1D) following damaging exercise.In this cohort study, eighteen physically-active young adults (M=22.1, SEM=0.9 years) with T1D (n, male/female=4/5; MHbA1c= 58, SEMHbA1c=5.9 mmol/mol) and without T1D (n, male/female=4/5) performed 300 unilateral eccentric contractions (90°s-1) of the knee extensors. Prior to exercise, at 48-hours and at 96-hours after exercise, participants gave a venous blood sample and vastus lateralis biopsy and performed a maximal voluntary isometric knee extension. Skeletal muscle extracellular matrix content, and satellite cell content/proliferation were assessed by immunofluorescence. Transmission electron microscopy was used to quantify ultrastructural damage.Maximal isometric strength was comparable between T1D and their sex-matched control group prior to exercise for both sexes. Immediately following damaging exercise, strength was decreased in both groups but there was a moderate effect size for lower strength during recovery in the T1D group at both 48-hours and 96-hours. Serum creatine kinase, an indicator of muscle damage, was moderately higher in T1D participants compared to controls at rest, and exhibited a small elevation 96-hours after exercise. Immunofluorescence analyses showed satellite cell content was lower at all timepoints in those with type 1 diabetes. T1D participants demonstrated a moderate delay in satellite cell proliferation (as assessed by Pax7+/Ki67+ nuclei counts) after exercise, reaching peak levels of proliferation 48-hours after control participants. Despite these differences, those with T1D did not exhibit greater ultrastructural muscle damage than controls as assessed by electron microscopy. Finally, a transcriptomic investigation of T1D muscle revealed several networks of dysregulated genes involving RNA translation as well as mitochondrial respiration function, providing potential explanations for previous observations of mitochondrial dysfunction in similar T1D cohorts. Our novel findings indicate that skeletal muscle from physically active, young adults with moderately controlled T1D may have a reduced ability to handle, and repair from, damaging exercise. While larger cohort studies are clearly needed, these results suggest that those with T1D may require longer recovery times following damaging exercise.
2021-10-29 | GSE182494 | GEO
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.
2023-09-08 | GSE222776 | GEO
Project description:The effects of circulating pro-inflammatory factors on diabetic kidney disease (DKD) progression remain poorly defined. In this study, transcriptional and proteomic profiling of kidney tissue and blood samples from individuals with type 2 diabetes mellitus and early DKD was used to identify gene expression associated with kidney disease progression. Interferon gamma (IFNG) was both identified as an upstream regulator of gene expression and detected in the serum of individuals who progressed. Individual IFNG activation scores (representing summary expression of 72 downstream signaling mediators) early in disease correlated with DKD progression over an average of 9.7 years. IFNG pathway inhibition reduced gene activity associated with DKD progression in both kidney organoids generated from human pluripotent stem cells and mouse DKD models. Thus, expression of genes associated with IFNG activity early in DKD predicted disease progression; individuals demonstrating IFNG activity may benefit from targeted therapeutics early in the disease course.
2024-05-13 | GSE230848 | GEO
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).
2013-07-11 | E-GEOD-46897 | biostudies-arrayexpress
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).
2013-07-13 | E-GEOD-46899 | biostudies-arrayexpress
Project description:Diabetic kidney disease (DKD) is the most common microvascular complication of type 2 diabetes mellitus (2-DM). Currently, urine and kidney biopsy specimens are the major clinical resources for DKD diagnosis. The diagnostic values of blood in monitoring the onset and progression of DKD have not been well explored. To fully describe the biological changes in human blood after DKD, we recruited 1,513 participants including healthy adults and patients diagnosed with 2-DM, early stage of DKD (DKD-E), and advanced stage of DKD (DKD-A) from 4 independent medical centers. The collected serums were subjected to pilot proteomics and large-scale metabolomics, respectively. By performing deep profiling of serum proteomes and metabolomes, several insights were revealed. First, the pilot proteomics revealed that the combination of alpha 2-Macroglobulin, Cathepsin D, and CD324 served as a surrogate protein biomarker in monitoring DKD progression. Second, metabolomics demonstrated that galactose metabolism and glycerolipid metabolism are the major disturbed metabolic pathways in DKD. Serum metabolite, glycerol-3-galactoside, is an independent marker in predicting DKD. Third, integrating proteomics and metabolomics increased the diagnostic and predictive stability and accuracy in distinguishing DKD status. Our study provides a rich and open-access data resource to shed light on optimizing the management of diabetes.
2021-05-22 | MSV000087487 | MassIVE
Project description:Diabetic kidney disease (DKD), a progressive kidney disease, is a major complication associated with diabetes and has become the leading cause of chronic kidney disease in China. Increasing evidences have demonstrated that lncRNAs play vital roles in kidney diseases, including DKD. To search for new ncRNAs involved in DKD, we performed gene expression profiling in the kidney tissues isolated from DKD patients and non-diabetic renal cancer patients undergoing surgical resection by RNA sequencing. And we identified 65 DEncRNAs (29 upregulated and 36 downregulated in DKD) and 171 DEmRNAs (72 upregulated and 99 downregulated in DKD).This study will provide insights into the prevent and treatment of DKD in the future.
2023-02-22 | GSE199838 | GEO
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
2011-08-02 | E-GEOD-30122 | biostudies-arrayexpress
Project description:Diabetic kidney disease (DKD) appears heritable, suggesting genetic factors influence disease susceptibility. In our study, genes were mapped mediating early renal hypertrophic in response to diabetes. A survey of murine strains (N=15) was conducted to identify variation in kidney hypertrophy following diabetes induction. Mice with greater FVB/N and less C57BL/6 renal hypertrophy were crossed and diabetic F2 generation mice (n=534) were characterised. To confirm loci responsible for the renal hypertrophic response, diabetic congenic mice were generated by backcrossing FVB/N mice that conferred greater or C57BL/6 conferring lower risk into the reciprocal strain mice. Kidney weights of (FVB/N x C57BL/6) F2 diabetic mice were broadly distributed. Quantitative trait locus (QTL) analysis revealed that diabetic mice with kidney weights in the upper quartile shared alleles on chromosomes 6 and 12, with the FVB/N allele on chromosome 6 conferring greater susceptibility. On chromosome 12, C57BL/6 homozygotes were more significantly represented (LOD=3.8) conferring less susceptibility. The diabetic B6.Drc1/2f congenic strain developed kidney damage, while the reciprocal congenic, with FVB.Drc1/2b strain were protected. Microarray analysis identified differentially expressed genes between diabetic C57BL/6 and FVB/N mice. QTL mapping for early renal responses to diabetes identified two loci syntenic with regions identified for human diabetic kidney disease. Providing a new resource to study DKD.
2021-12-31 | GSE123677 | GEO