Targeted transcriptional analysis of IgA vasculitis, IgA nephropathy, and IgA dominant infection related glomerulonephritis
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE220100 | GEO | 2023/08/08
REPOSITORIES: GEO
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE35487: Expression data from human with IgA nephropathy (IgAN) [HG-U133A] GSE35488: Expression data from human with IgA nephropathy (IgAN) [HG-U133A_ENTREZG_10] Refer to individual Series
2012-02-02 | E-GEOD-35489 | biostudies-arrayexpress
Project description:Proteinuria is the most important predictor of outcome in glomerulonephritis and experimental data suggest that the tubular cell response to proteinuria is an important determinant of progressive fibrosis in the kidney. However, it is unclear whether proteinuria is a marker of disease severity or has a direct effect on tubular cells in the kidneys of patients with glomerulonephritis. Accordingly we studied an in vitro model of proteinuria, and identified 231 albumin-regulated genes differentially expressed by primary human kidney tubular epithelial cells exposed to albumin. We translated these findings to human disease by studying mRNA levels of these genes in the tubulo-interstitial compartment of kidney biopsies from patients with IgA nephropathy using microarrays. Biopsies from patients with IgAN (n=25) could be distinguished from those of control subjects (n=6) based solely upon the expression of these 231 albumin-regulated genes. The expression of an 11-transcript subset related to the degree of proteinuria, and this 11-mRNA subset was also sufficient to distinguish biopsies of subjects with IgAN from control biopsies. We tested if these findings could be extrapolated to other proteinuric diseases beyond IgAN and found that the all forms of primary glomerulonephritis (n=33) can be distinguished from controls (n=21) based solely on the expression levels of these 11 genes derived from our in vitro proteinuria model. Pathway analysis suggests common regulatory elements shared by these 11 transcripts. In conclusion, we have identified an albumin-regulated 11-gene signature shared between all forms of primary glomerulonephritis. Our findings support the hypothesis that albuminuria may directly promote injury in the tubulo-interstitial compartment of the kidney in patients with glomerulonephritis. We used microarrays to analyze the transcriptome of microdissected renal biopsies from patients with IgA nephropathy (IgAN) RNA from tubulointerstitial compartments was extracted and processed for hybridization on Affymetrix HG-U133A microarrays.
2012-02-02 | E-GEOD-35487 | biostudies-arrayexpress
Project description:Proteinuria is the most important predictor of outcome in glomerulonephritis and experimental data suggest that the tubular cell response to proteinuria is an important determinant of progressive fibrosis in the kidney. However, it is unclear whether proteinuria is a marker of disease severity or has a direct effect on tubular cells in the kidneys of patients with glomerulonephritis. Accordingly we studied an in vitro model of proteinuria, and identified 231 albumin-regulated genes differentially expressed by primary human kidney tubular epithelial cells exposed to albumin. We translated these findings to human disease by studying mRNA levels of these genes in the tubulo-interstitial compartment of kidney biopsies from patients with IgA nephropathy using microarrays. Biopsies from patients with IgAN (n=25) could be distinguished from those of control subjects (n=6) based solely upon the expression of these 231 albumin-regulated genes. The expression of an 11-transcript subset related to the degree of proteinuria, and this 11-mRNA subset was also sufficient to distinguish biopsies of subjects with IgAN from control biopsies. We tested if these findings could be extrapolated to other proteinuric diseases beyond IgAN and found that the all forms of primary glomerulonephritis (n=33) can be distinguished from controls (n=21) based solely on the expression levels of these 11 genes derived from our in vitro proteinuria model. Pathway analysis suggests common regulatory elements shared by these 11 transcripts. In conclusion, we have identified an albumin-regulated 11-gene signature shared between all forms of primary glomerulonephritis. Our findings support the hypothesis that albuminuria may directly promote injury in the tubulo-interstitial compartment of the kidney in patients with glomerulonephritis. We used microarrays to analyze the transcriptome of microdissected renal biopsies from patients with IgA nephropathy (IgAN) RNA from tubulointerstitial compartments was extracted and processed for hybridization on Affymetrix HG-U133A microarrays.
2012-02-02 | E-GEOD-35488 | biostudies-arrayexpress
Project description:IgA nephropathy (IgAN) is the most common glomerulonephritis in the world. The disease is characterized by galactose deficient IgA (gd-IgA) in the circulation forming immune complexes. The complexes are deposited in the glomerular mesangium leading to inflammation and loss of renal function, but the pathophysiology of the disease is still not fully understood. Using an integrated global transcriptomic and proteomic profiling approach we investigated the role of the mesangium in the onset and progression of IgAN. Global gene expression was investigated by microarray analysis of the glomerular compartment of renal biopsies from patients with IgAN. The influence of galactose deficient IgA (gd-IgA) on mesangial cells was investigated by proteomic profiling. By utilizing the previous published literature curated glomerular cell type-specific genes, we found that mesangial cells and their positive standard genes play a more dominant role in IgAN comparing to the podocyte standard genes. Additionally, the patient clinical parameters (serum creatinine values and estimated glomerular filtration rate - eGFR) significantly correlate with z-scores derived from expression profile of mesangial cell positive standard genes. 22 common pathways were identified both from in vivo microarray data and in vitro mesangial cell mass spectrometry data and the main part was inflammatory pathways. The correlation between clinical data and mesangial standard genes allows for a better understanding of the onset of IgAN. The genes, proteins and their corresponding pathways identified in this paper give us novel insights into the pathophysiological mechanisms leading to progression of IgAN. RNA from glomerular compartment was extracted and processed for hybridization on Affymetrix microarrays. This dataset is part of the TransQST collection.
2017-07-03 | E-GEOD-93798 | biostudies-arrayexpress
Project description:IgA nephropathy (IgAN) is the most common glomerulonephritis in the world. The disease is characterized by galactose deficient IgA (gd-IgA) in the circulation forming immune complexes. The complexes are deposited in the glomerular mesangium leading to inflammation and loss of renal function, but the pathophysiology of the disease is still not fully understood. Using an integrated global transcriptomic and proteomic profiling approach we investigated the role of the mesangium in the onset and progression of IgAN. Global gene expression was investigated by microarray analysis of the glomerular compartment of renal biopsies from patients with IgAN. The influence of galactose deficient IgA (gd-IgA) on mesangial cells was investigated by proteomic profiling. By utilizing the previous published literature curated glomerular cell type-specific genes, we found that mesangial cells and their positive standard genes play a more dominant role in IgAN comparing to the podocyte standard genes. Additionally, the patient clinical parameters (serum creatinine values and estimated glomerular filtration rate - eGFR) significantly correlate with z-scores derived from expression profile of mesangial cell positive standard genes. 22 common pathways were identified both from in vivo microarray data and in vitro mesangial cell mass spectrometry data and the main part was inflammatory pathways. The correlation between clinical data and mesangial standard genes allows for a better understanding of the onset of IgAN. The genes, proteins and their corresponding pathways identified in this paper give us novel insights into the pathophysiological mechanisms leading to progression of IgAN.
2017-07-03 | GSE93798 | GEO
Project description:Proteinuria is the most important predictor of outcome in glomerulonephritis and experimental data suggest that the tubular cell response to proteinuria is an important determinant of progressive fibrosis in the kidney. However, it is unclear whether proteinuria is a marker of disease severity or has a direct effect on tubular cells in the kidneys of patients with glomerulonephritis. Accordingly we studied an in vitro model of proteinuria, and identified 231 albumin-regulated genes differentially expressed by primary human kidney tubular epithelial cells exposed to albumin. We translated these findings to human disease by studying mRNA levels of these genes in the tubulo-interstitial compartment of kidney biopsies from patients with IgA nephropathy using microarrays. Biopsies from patients with IgAN (n=25) could be distinguished from those of control subjects (n=6) based solely upon the expression of these 231 albumin-regulated genes. The expression of an 11-transcript subset related to the degree of proteinuria, and this 11-mRNA subset was also sufficient to distinguish biopsies of subjects with IgAN from control biopsies. We tested if these findings could be extrapolated to other proteinuric diseases beyond IgAN and found that the all forms of primary glomerulonephritis (n=33) can be distinguished from controls (n=21) based solely on the expression levels of these 11 genes derived from our in vitro proteinuria model. Pathway analysis suggests common regulatory elements shared by these 11 transcripts. In conclusion, we have identified an albumin-regulated 11-gene signature shared between all forms of primary glomerulonephritis. Our findings support the hypothesis that albuminuria may directly promote injury in the tubulo-interstitial compartment of the kidney in patients with glomerulonephritis. We used microarrays to analyze the transcriptome of microdissected renal biopsies from patients with IgA nephropathy (IgAN)
2012-02-02 | GSE35487 | GEO
Project description:Proteinuria is the most important predictor of outcome in glomerulonephritis and experimental data suggest that the tubular cell response to proteinuria is an important determinant of progressive fibrosis in the kidney. However, it is unclear whether proteinuria is a marker of disease severity or has a direct effect on tubular cells in the kidneys of patients with glomerulonephritis. Accordingly we studied an in vitro model of proteinuria, and identified 231 albumin-regulated genes differentially expressed by primary human kidney tubular epithelial cells exposed to albumin. We translated these findings to human disease by studying mRNA levels of these genes in the tubulo-interstitial compartment of kidney biopsies from patients with IgA nephropathy using microarrays. Biopsies from patients with IgAN (n=25) could be distinguished from those of control subjects (n=6) based solely upon the expression of these 231 albumin-regulated genes. The expression of an 11-transcript subset related to the degree of proteinuria, and this 11-mRNA subset was also sufficient to distinguish biopsies of subjects with IgAN from control biopsies. We tested if these findings could be extrapolated to other proteinuric diseases beyond IgAN and found that the all forms of primary glomerulonephritis (n=33) can be distinguished from controls (n=21) based solely on the expression levels of these 11 genes derived from our in vitro proteinuria model. Pathway analysis suggests common regulatory elements shared by these 11 transcripts. In conclusion, we have identified an albumin-regulated 11-gene signature shared between all forms of primary glomerulonephritis. Our findings support the hypothesis that albuminuria may directly promote injury in the tubulo-interstitial compartment of the kidney in patients with glomerulonephritis. We used microarrays to analyze the transcriptome of microdissected renal biopsies from patients with IgA nephropathy (IgAN)
2012-02-02 | GSE35488 | GEO
Project description:IgA nephropathy (IgAN) is a heterogeneous disease, which poses a series of challenges to accurate diagnosis and personalized therapy. Here, we present a systematic quantitative kidney tissue proteome atlas across 19 tumor-adjacent normal kidney tissues, 12 membranous nephropathy (MN) samples and 59 biopsies from IgAN patients. Consensus sub-clustering of proteome profiles divided IgAN into three subtypes (IgAN-C1, C2 and C3). Compared to IgAN-C2, the IgAN-C1, and C3 subtypes had a different regulating mechanism and exhibited higher levels of complement activation, more severe mitochondrial injury, and more significant extracellular matrix accumulation. Additionally, IgAN-C1 and C3 had worse clinical outcomes than C2 (30% serum creatinine increase as the end point, P<0.01). Overall, the novel proteomic prognostic subtyping of IgAN could help us understand the heterogeneity of IgAN and improve clinical outcomes.
2022-03-22 | PXD032710 |
Project description:The histologic diagnosis of idiopathic IgA Nephopathy (IgAN) is based o renal lesions scores. Aim of our study was to identify specific gene expression changes that characterize active renal lesions that may be more responsive to immunosuppressive therapy than chronic lesions. Total RNA was extracted from archival FFPE renal tissue samples of 55 IgAN patients, 31 non-IgAN patients. IgAN patients were accurately stratified based on the LUMPED classifications. Genome-wide gene expression profiles were generated and Oneway ANOVA with tukeyHSD post hoc testing was used to identify specific transcripts associated with active and chronic renal lesions in IgAN. RT-PCR was used to validate selected transcripts. Immunohistochemistry (IHC) was used to evaluate specific protein expression in biopsy specimens. Bioinfomatic analysis identified 183 genes with a Fold Change > 1.5 exclusively modulated in IgAN biopsies with active lesions and 162 genes with Fold Change > 1.5 exclusively modulated in IgAN biopsies with chronic lesions. These genes belonged to renal cellular damage and immune system regulatory pathways. To establish the validity of gene expression determined by microarray analysis, we performed RT-PCR on genes that were putatively involved in generating active and chronic lesions that may be involved in activating local inflammatory response and contributing to renal damage. Validated transcripts were also confirmed at protein level with IHC on kidney biopsy specimens. Transcriptomics on FFPE renal biopsies integrates histomorphologic renal lesions. Our study identifies specific gene expression changes involved in active and chronic lesions at the time of renal biopsy. This novel information may be used for personalized therapy through a system pharmacology approach to identify targeted molecules able to revert aberrant expression networks characterizing active and chronic lesions.
2020-06-02 | GSE115857 | GEO
Project description:Previous studies revealed the abnormal lymphocytes subsets in IgA nephropathy (IgAN). Recently, emerging studies indicate that microRNA could influence the balance of T helper differentiation and function. Here we explore the underlying mechanism regarding how miRNA regulated lymphocytes subsets in IgAN, focused on T helper cell polarization.
2021-01-01 | GSE125998 | GEO