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836 results for “Acute Kidney Injury”

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geo12/100

H3K4me3 modification in zebrafish kidney after acute kidney injury

GEO Series GSE217831. Danio rerio. 9 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenNov 2022View details →
geo12/100

DsbA-L deficiency attenuates LPS-induced acute kidney injury via NF-κB/AP-1 regulation of macrophage polarization

GEO Series GSE202753. Mus musculus. 13 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2025View details →
geo12/100

miRNA profiling of urinary exosomes to assess the progression of acute kidney injury

GEO Series GSE125305. Rattus norvegicus; synthetic construct. 18 samples. Type: Non-coding RNA profiling by array.

openGEO-OpenMar 2019View details →
geo12/100

The synergistic effect of pulsed-focused ultrasound and umbilical cord mesenchymal stem cells in facilitating recovery from acute kidney injury through mitochondrial regulation and heat shock proteins

GEO Series GSE262787. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2024View details →
geo12/100

Resident Macrophages Reprogram Toward a Developmental State After Acute Kidney Injury

GEO Series GSE121410. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenApr 2019View details →
geo12/100

84-B10 alleviates cisplatin-induced acute kidney injury in mice

GEO Series GSE213473. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenSep 2025View details →
geo12/100

Transcriptome of mouse renal cortices without or with acute kidney injury, and without or with renal tubular epithelial cell-specific deficiency of the glucocorticoid receptor

GEO Series GSE275996. Mus musculus. 12 samples. Type: Expression profiling by array.

openGEO-OpenSep 2024View details →
geo12/100

Glucocorticoids induce a maladaptive epithelial stress response to aggravate acute kidney injury

GEO Series GSE276043. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.

openGEO-OpenSep 2024View details →
geo12/100

Novel biomarkers for contrast-induced acute kidney injury identified from RNA sequencing data

GEO Series GSE248078. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenNov 2023View details →
geo12/100

Tolerogenic dendritic cells protect against acute kidney injury

GEO Series GSE205322. Mus musculus. 12 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJul 2023View details →
geo12/100

Identification of the H+-K+-ATPase ATP4A as hypoxia-regulated target for acute kidney injury prevention

GEO Series GSE284576. Mus musculus. 6 samples. Type: Expression profiling by array.

openGEO-OpenDec 2024View details →
zenodo12/100

The multifactorial dynamic perfusion index: A predictive tool of cardiac surgery associated acute kidney injury

<p>Ranucci M, Di Dedda U, Cotza M, Zamalloa Moreano K. The multifactorial dynamic perfusion index: A predictive tool of cardiac surgery associated acute kidney injury. Perfusion. 2022 Oct 28:2676591221137033. doi: 10.1177/02676591221137033. Epub ahead of print. PMID: 36305847.</p> <p>Abstract</p> <p><strong>Introduction:&nbsp;</strong>cardiac surgery associated acute kidney injury (CSA-AKI) has a number of preoperative and intraoperative risk factors. Cardiopulmonary bypass (CPB) factors have not yet been elucidated in a single multivariate model. The aim of this study is to develop a dynamic predictive model for CSA-AKI.</p> <p><strong>Methods:&nbsp;</strong>retrospective study on 910 consecutive adult cardiac surgery patients. Baseline data were used to settle a preoperative CSA-AKI risk model (static risk model, SRM); CPB related data were assessed for association with CSA-AKI. CPB duration, nadir oxygen delivery, time of exposure to a low oxygen delivery, nadir mean arterial pressure, peak lactates and red blood cell transfusion were included in a multivariate dynamic perfusion risk (DPR). SRM and DPR were merged into a final logistic regression model (multifactorial dynamic perfusion index, MDPI). The three risk models were assessed for discrimination and calibration.</p> <p><strong>Results:&nbsp;</strong>the SRM model had an AUC of 0.696 (95% CI 0.663-0.727), the DPR model of 0.723 (95% CI 0.691-0.753), and the MDPI model an AUC of 0.769 (95% CI 0.739-0.798). The difference in AUC between SRM and DPR was not significant (<em>p</em>&nbsp;= 0.495) whereas the AUC of MDPI was significantly larger than that of SRM (<em>p</em>&nbsp;= 0.004) and DPR (<em>p</em>&nbsp;= 0.015).</p> <p><strong>Conclusions:&nbsp;</strong>inclusion of dynamic indices of the quality of CPB improves the discrimination and calibration of the preoperative risk scores. The MDPI has better predictive ability than the existing static risk models and is a promising tool to integrate different factors into an advanced concept of goal-directed perfusion.</p>

restrictedJan 2023View details →
geo12/100

Myeloid-specific ferritin light chain deletion does not confer renal protection in sepsis-associated acute kidney injury

GEO Series GSE255281. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2024View details →
geo12/100

RNA Sequencing and Bioinformatics Analysis of CircRNAs in Asphyxial Newborns with Acute Kidney Injury

GEO Series GSE222578. Homo sapiens. 2 samples. Type: Non-coding RNA profiling by high throughput sequencing.

openGEO-OpenJan 2023View details →
geo12/100

Human and Murine Kidneys Contain Transcriptionally and Spatially Orthologous Resident Macrophage Subpopulations in Acute Kidney Injury

GEO Series GSE226533. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing; Other.

openGEO-OpenMar 2024View details →
zenodo8/100

Dataset related to the article "High sensitivity C-reactive protein and acute kidney injury in patients wit acute myocardial infarction: a prospective observational study"

<p>This record contains raw data related to the article &quot;High sensitivity C-reactive protein and acute kidney injury in patients wit acute myocardial infarction: a prospective observational study&quot;</p> <p><strong>Abstract:</strong> Background. Accumulating evidence suggests that inflammation plays a key role in acute<br> kidney injury (AKI) pathogenesis. We explored the relationship between high-sensitivity C-reactive<br> protein (hs-CRP) and AKI in acute myocardial infarction (AMI). Methods. We prospectively included<br> 2,063 AMI patients in whom hs-CRP was measured at admission. AKI incidence and a clinical<br> composite of in-hospital death, cardiogenic shock, and acute pulmonary edema were the study<br> endpoints. Results. Two-hundred-thirty-four (11%) patients developed AKI. hs-CRP levels were<br> higher in AKI patients (45 87 vs. 16 41 mg/L; p &lt; 0.0001). The incidence and severity of AKI, as well<br> as the rate of the composite endpoint, increased in parallel with hs-CRP quartiles (p for trend &lt;0.0001<br> for all comparisons). A significant correlation was found between hs-CRP and the maximal increase<br> of serum creatinine (R = 0.23; p &lt; 0.0001). The AUC of hs-CRP for AKI prediction was 0.69 (p &lt; 0.001).<br> At reclassification analysis, addition of hs-CRP allowed to properly reclassify 14% of patients when<br> added to creatinine and 8% of patients when added to a clinical model. Conclusions. In AMI,<br> admission hs-CRP is closely associated with AKI development and severity, and with in-hospital<br> outcomes. Future research should focus on whether prophylactic renal strategies in patients with<br> high hs-CRP might prevent AKI and improve outcome.</p>

restrictedMay 2020View details →

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International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

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Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

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Last verified 2026-04-29Open record