Genome-wide analysis of long noncoding RNAs and mRNAs associated with contrast-induced acute kidney injury
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ABSTRACT:
ORGANISM(S): Rattus norvegicus
PROVIDER: GSE134824 | GEO | 2021/05/18
REPOSITORIES: GEO
Similar Datasets
Project description:Purpose: The pathogenesis of contrast-induced acute kidney injury (CI-AKI) has not yet been clearly understood. miRNAs are important mediators which normally work by post-transcriptional degradation of target mRNAs. Emerging evidence indicated a number of differentially expressed miRNAs in CI-AKI following intravenous contrast medium injection. However, there exist differences in the pathological mechanisms and incidences of CI-AKI between intravenous and intra-arterial contrast administration. We aimed to investigate the critical roles of dysregulated miRNAs and the correlated mRNAs in the kidney injury following intra-arterial contrast exposure. Methods: Based on a reliable CI-AKI rat model, we sought to investigate the roles of miRNA-mRNA interactions in the kidney injury following intra-arterial contrast exposure using the Illumina Genome Analyzer IIx. Results: In the study, 36 differentially expressed mature miRNAs were identified ( fold change > 1.5 and p value < 0.05) in the kidney of CI-AKI rats (n = 3) compared with controls (n = 3), consisting of 23 up-regulated and 13 down-regulated ones. Bioinformatics analysis revealed that Wnt, TGF-β, and AMPK signaling pathways were most likely to be modulated by these dysregulated miRNAs. Around 453 dysregulated genes ( fold change > 2.0 and p value < 0.05) were identified. Integrated analysis revealed 2037 putative miRNA-mRNA pairs with negative correlations. Of which, 6 differential miRNAs and 13 genes were selected for further quantitative real-time polymerase chain reaction validation (n = 6 for each group), and a well correspondence between the 2 techniques was observed. Conclusions: In conclusion, our present study contributes to the first evidence of miRNA-mRNA regulations in the development of kidney injury following an intra-arterial contrast injection route. These novel findings provide insights into the underlying mechanisms of CI-AKI.
2020-04-10 | GSE130796 | GEO
Project description:Purpose:The pathogenesis of contrast-induced acute kidney injury (CI-AKI) has not yet been clearly understood. miRNAs are important mediators which normally work by post-transcriptional degradation of target mRNAs. Emerging evidence indicated a number of differentially expressed miRNAs in CI-AKI following intravenous contrast medium injection. However, there exist differences in the pathological mechanisms and incidences of CI-AKI between intravenous and intra-arterial contrast administration. We aimed to investigate the critical roles of dysregulated miRNAs and the correlated mRNAs in the kidney injury following intra-arterial contrast exposure. Methods:Based on a reliable CI-AKI rat model, we sought to investigate the roles of miRNA-mRNA interactions in the kidney injury following intra-arterial contrast exposure using the Illumina Genome Analyzer IIx. Results:In the study, 36 differentially expressed mature miRNAs were identified ( fold change > 1.5 and p value < 0.05) in the kidney of CI-AKI rats (n = 3) compared with controls (n = 3), consisting of 23 up-regulated and 13 down-regulated ones. Bioinformatics analysis revealed that Wnt, TGF-β, and AMPK signaling pathways were most likely to be modulated by these dysregulated miRNAs. Around 453 dysregulated genes ( fold change > 2.0 and p value < 0.05) were identified. Integrated analysis revealed 2037 putative miRNA-mRNA pairs with negative correlations. Of which, 6 differential miRNAs and 13 genes were selected for further quantitative real-time polymerase chain reaction validation (n = 6 for each group), and a well correspondence between the 2 techniques was observed. Conclusions:In conclusion, our present study contributes to the first evidence of miRNA-mRNA regulations in the development of kidney injury following an intra-arterial contrast injection route. These novel findings provide insights into the underlying mechanisms of CI-AKI.
2020-04-10 | GSE130795 | GEO
Project description:Contrast-induced acute kidney injury (CI-AKI) is typically defined by an increase in serum creatinine (SCr) after intravascular administration of contrast medium. Since creatinine is an unreliable indicator for acute changes in kidney function, an early biomarkers for CI-AKI diagnosis is important for initiating therapy.We assessed the hypothesis that circulating microRNAs (miRNAs) could be served as potential biomarkers to early detect CI-AKI.The rat model of acute kidney injury was developed as we previously described. We first detect miRNA profile of plasma and kidney tissue using Agilent microarray platform. 3 miRNA species with > 1.5-fold increase in plasma samples of CI-AKI rats, including miRNA-30a, miRNA-30e and miRNA-188, were selected as candidate miRNAs of potential biomarkers. 24 rats were randomly divided into 2 groups (CI-AKI group and control group), each with 4 subgroups (n=3). Peripheral blood and kidney samples were harvest at 8h after contrast medium/normal saline administration. Total RNA sample from each rat in the same subgroup was combined together as pooled sample for further test. The Agilent microarray platform was adapted to profile the miRNA spectra.
2016-05-14 | E-GEOD-81400 | biostudies-arrayexpress
Project description:Contrast-induced acute kidney injury (CI-AKI) is a serious complication of percutaneous coronary intervention (PCI). Emerging evidence suggests that messengerRNAs (mRNAs) and long non-coding RNAs (lncRNAs) could serve as biomarkers for various diseases.
2023-11-17 | GSE248078 | GEO
Project description:Contrast-induced acute kidney injury (CI-AKI) is typically defined by an increase in serum creatinine (SCr) after intravascular administration of contrast medium. Since creatinine is an unreliable indicator for acute changes in kidney function, an early biomarkers for CI-AKI diagnosis is important for initiating therapy.We assessed the hypothesis that circulating microRNAs (miRNAs) could be served as potential biomarkers to early detect CI-AKI.The rat model of acute kidney injury was developed as we previously described. We first detect miRNA profile of plasma and kidney tissue using Agilent microarray platform. 3 miRNA species with > 1.5-fold increase in plasma samples of CI-AKI rats, including miRNA-30a, miRNA-30e and miRNA-188, were selected as candidate miRNAs of potential biomarkers.
2016-05-14 | GSE81400 | GEO
Project description:The incidence of CI-AKI varies from 5% to 20% among hospitalized patients. However, research on the pathophysiological mechanism and biomarkers of CI-AKI has not been deep so far, especially research with LC-MS/MS methods. MS has brought proteomics research into the modern era and continues to be the best choice for accurate medicine. Thus, we identified the urine proteins of CI-AKI patients with LC-MS/MS methods and compared the differences in urine protein expression between CI-AKI patients and non-CI-AKI patients with bioinformatics analysis. Several DEPs were identified in CI-AKI patients, some of which are related to kidney diseases, including annexin A2 (ANXA2), growth differentiation factor 15 (GDF15) and retinol-binding protein 4 (RBP4). We think that they are likely to be biomarkers of CI-AKI. Among the DEPs, we found that the number and degree of proteins expressed in tubules were more significant than those in glomeruli, which indicated that tubule injury may play a more important role in CI-AKI. Through bioinformatics analysis, we found that the immune response and inflammation were involved in CI-AKI, which indicated that the immune system and inflammatory response may participate in CI-AKI progression. Our study revealed some proteins that are likely to be biomarkers and provided a further understanding of CI-AKI.
2021-02-21 | PXD024271 |
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.
2012-02-21 | E-GEOD-30718 | biostudies-arrayexpress
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.
2012-02-21 | GSE30718 | GEO
Project description:NRK cells were exposed to serum-free, 10% FBS (control), 10% serum sampled from rats 24 hours after sham surgery (no kidney injury control), or 10% serum sampled from rats 24 hours after I/R AKI surgery (kidney injury serum). After 48 hours of exposure to serum, the NRK cells were harvested and processed for Agilent microarray We previously conducted a Phase I Clinical Trial in which Mesenchymal Stem/Stromal Cells (MSCs) were administered to patients at risk for developing acute kidney injury (AKI), and which suggested that MSC therapy is safe and effective in preventing both postoperative AKI and progression to CKD. It is well understood that AKI creates an internal environment that adversely affects not only the kidneys but also the function of distant organs and tissues. To study the consequences of the AKI environment on MSCs and renal cells, we developed an in vitro assay of exposing MSCs or cultured tubular cells (NRK Cells) to serum from animals that had AKI, or SHAM surgeries. Compared to SHAM sera, exposure of cells to AKI serum caused increased intra-cellular resazurin reduction, and activation of anti-oxidant genes,
2017-03-16 | GSE94678 | GEO
Project description:Acute kidney injury and nephrotoxicity are important clinical side effects of cisplatin. Thus, the mechanisms of this disease, and potential treatment options are important to understand in their entity. Here, we analyzed the proteome of cisplatin induced acute kidney injury in a mouse model. Functionally we found that calorie restriction was able to completely blunt Cisplatin induced AKI, and hypoxia ameliorated cCisplatin induced AKI. To investigate the mechanism for this in high throughput, we performed label-free single-shot proteomic analyses of these kidneys.Acute kidney injury and nephrotoxicity are important clinical side effects of cisplatin. Thus, the mechanisms of this disease, and potential treatment options are important to understand in their entity. Here, we analyzed the proteome of cisplatin induced acute kidney injury in a mouse model. Functionally we found that calorie restriction was able to completely blunt Cisplatin induced AKI, and hypoxia ameliorated cCisplatin induced AKI. To investigate the mechanism for this in high throughput, we performed label-free single-shot proteomic analyses of these kidneys.
2020-01-30 | PXD005525 | Pride