Molecular regulation of acute kidney injury (miRNA)
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Julia Wilflingseder
PROVIDER: E-GEOD-53771 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:18 zero-hour and 18 selected post-transplant (Tx) biopsy samples from 18 kidney allografts (8 acute kidney injury (AKI), 10 PBx - protocol biopsies - controls) were analyzed by using the Affymetrix GeneChip® Human Gene 2.0 ST Array. comparison between control group (protocol biopsies) and indication biopsies with histological lesions of acute tubular necrosis without rejection (ATN)
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Project description:18 zero-hour and 18 selected post-transplant (Tx) biopsy samples from 18 kidney allografts (8 acute kidney injury (AKI), 10 PBx - protocol biopsies - controls) were analyzed by using the Affymetrix GeneChip® miRNA 3.0 Array.
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Project description:18 zero-hour and 18 selected post-transplant (Tx) biopsy samples from 18 kidney allografts (8 acute kidney injury (AKI), 10 PBx - protocol biopsies - controls) were analyzed by using the Affymetrix GeneChip® Human Gene 2.0 ST Array.
2015-01-15 | GSE53769 | GEO
Project description:Microarray analysis of human kidneys with acute kidney injury (AKI) has been limited because such kidneys are seldom biopsied. However, all kidney transplants experience AKI, and early kidney transplants without rejection are an excellent model for human AKI: they are screened to exclude chronic kidney disease, frequently biopsied, and have extensive follow-up. We used histopathology and microarrays to compare indication biopsies from 28 transplants with AKI to 11 pristine protocol biopsies of stable transplants. Kidneys with AKI showed increased expression of 394 injury-repair response associated transcripts, including many known epithelial injury molecules (e.g. ITGB6, LCN2), tissue remodeling molecules (e.g. VCAN), and inflammation molecules (S100A8, ITGB3). Many other genes also predict the phenotype, depending on statistical filtering rules, including AKI biomarkers as HAVCR1 and IL18. Most mouse orthologs of the top injury-repair transcripts were increased in published mouse AKI models. Pathway analysis of the injury-repair transcripts revealed similarities to cancer, development, and cell movement. The injury-repair transcript score AKI kidneys correlated with reduced function, future recovery, brain death, and need for dialysis, but not future graft loss. In contrast, histologic features of "acute tubular injury" did not correlate with function or with the molecular changes. Thus the injury-repair associated transcripts represent a massive coordinate injury-repair response of kidney parenchyma to AKI, similar to mouse AKI models, and provide an objective measure for assessing the severity of AKI in kidney biopsies and validation for the use of many AKI biomarkers. AKI biopsies sample names and CEL files are from GSE21374. All consenting renal transplant patients undergoing biopsies for cause as standard of care between 09/2004 and 10/2007 at the university of Alberta or between 11/2006 and 02/2007 at the University of Illinois were included in the analysis. In addition to the cores required for standard histopathology, we collected one core for gene expression studies. the relationship between gene expression in the biopsy and subsequent graft loss was analyzed. This dataset is part of the TransQST collection.
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Project description:Sepsis-induced acute kidney injury (AKI) is the most common form of AKI with poor outcomes. Renal proteomic analysis after bacterial lipopolysaccharide (LPS) administration revealed that the local renal acute phase reaction (APR) is one of the strongest responses of the kidney during septic AKI in mice. Evaluation of mRNA expression confirmed that most acute phase proteins were produced in the kidney. Our study also provides missing information on the time course of septic renal APR. Proteomic analysis of LPS-induced AKI demonstrated a marked upregulation of local renal acute phase response (APR) that commenced a few hours post injection and peaked at 24 h. Much more APPs were involved in the renal APR than previously identified.
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Project description:One and four month formalin-fixed paraffin embedded biopsies from 48 kidney transplant recipients (24 AKI donors, 24 non-AKI) underwent global gene expression profiling using DNA microarrays (96 arrays). At one month, there were 898 differentially expressed genes in the AKI group (p-value <0.005; FDR <10%), but by 4-months there were no longer any differences. One and four month formalin-fixed paraffin embedded (FFPE) biopsies from 48 kidney transplant recipients (24 AKI donors, 24 controls; 96 total samples) were profiled using Affymetrix U133PM Plus PM plate arrays on a GeneTitan MC instrument. All samples were selected from the SCD cohort only. AKI donor and controls samples were matched by date of transplantation. Total RNA was extracted from four 20-micron sections using Ambion RecoverAll Total Nucleic Acid Kit and processed for chip hybridization using the new Affymetrix SensationPlus™ FFPE Amplification and 3’ IVT Labeling kit according to the manufacturer’s protocol. Quantile data normalization by RMA and analysis was performed using Partek Genomics Suite for PDR-corrected differential gene expression by ANOVA. Pathway mapping was performed using Ingenuity Pathway Analysis (IPA). This dataset is part of the TransQST collection.
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