The role of microRNAs in the pathogenesis of IgA nephropathy
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE141344 | GEO | 2021/02/23
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:IgA nephropathy (IgAN), the most common primary glomerulonephritis worldwide, is characterized by IgA1-containing glomerular immunodeposits. These immunodeposits are thought to originate from the circulating immune complexes consisting of aberrantly glycosylated IgA1 (galactose-deficient IgA1; Gd-IgA1) bound by IgG autoantibodies. This hypothesis is supported by the findings that renal immunodeposits of IgA nephropathy patients are enriched for IgG autoantibodies specific for galactose-deficient IgA1 (Rizk et al., J. Am. Soc. Nephrol. 30(10), 2017-2026, 2019). However, experimental proof is needed. This study provides in vivo data in mice that support the pathogenic role of IgG autoantibodies in IgAN.
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Project description:Susceptibility loci for IgA nephropathy
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Project description:The current study makes use of NanoString targeted technology to profile urinary exosomal miRNAs from IgA nephropathy affected patients and corresponding healthy controls. Circulatory biomarkers were detected for IgA nephropathy from Indian cohort which can be made used for the diagnostic therapy. 14 miRNAs were detected to be related to the disregulation in miRNome of IgA nephropathy patients using lasso feature selection method, out of which multiple miRNAs like hsa.mir.146b.3p, hsa.mir.599 and many more was resulted with high AUROC values >=0.9 efficient in differentiating between healthy controls and IgA nephropathy condition. These markers can be use further in the diagnosis and treatment of IgAN.
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Project description:We applied scRNAseq analysis to investigate the mouse kidney glomerular injury in IgA nephropathy
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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:Specific molecular biomarkers were detected in kidney biopsy of IgA nephropathy characterizing active (E and C) and chronic (T) renal lesions compared with other non-IgA glomerulonephritis and living donors
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