Acute Kidney Injury Research

Epigenetic reprogramming driving successful and failed repair in acute kidney injury

This study maps epigenetic changes during AKI repair in mice and humans, identifying CREB5 as a regulator of both successful and failed tubular repair.

Single Nucleus RNA Sequencing of Remnant Kidney Biopsies and Urine Cell RNA Sequencing Reveal Cell Specific Markers of Covid-19 Acute Kidney Injury

Hypoxic injury triggers maladaptive repair in human kidney organoids

This study uses human kidney organoids to model hypoxic injury and maladaptive repair, identifying molecular and metabolic changes associated with AKI and CKD progression.

Cytokines in the Urine of AKI patients regulate TP53 and SIRT1 and can be used as biomarkers for the early detection of AKI

This study identifies cytokine biomarkers in urine that can detect AKI early and suggests their role in regulating TP53 and SIRT1 pathways.

Urinary single-cell sequencing captures intrarenal injury and repair processes in human acute kidney injury

This study uses urinary single-cell RNA sequencing to analyze injury and repair processes in acute kidney injury, identifying distinct cellular and molecular dynamics.

Assessment of urinary exosome NHE3 as a biomarker of acute kidney injury

This study evaluates urinary exosome NHE3 as a noninvasive biomarker for acute kidney injury (AKI) across multiple animal models and human patients, showing increased NHE3 levels in all tested AKI conditions.

Temporal and sex-dependent gene expression patterns in a renal ischemia-reperfusion injury and recovery pig model

This study identifies sex-dependent gene expression patterns in a pig model of renal ischemia-reperfusion injury, revealing temporal and sexual dimorphism in injury and recovery processes.

Transcriptomic responses of the human kidney to acute injury at single cell resolution

This study uses single-nuclei transcriptomics to analyze human kidney injury responses, identifying four injury-associated cell states and showing similar gene expression changes between AKI patients with and without COVID-19.

Integration of spatial transcriptomic and single cell sequencing identifies expression patterns underlying immune and epithelial cell cross-talk in acute kidney injury

The paper integrates spatial transcriptomics and single cell sequencing to identify immune and epithelial cell cross-talk patterns in acute kidney injury models.

Single Cell Profiling of Acute Kidney Injury Reveals Novel Transcriptional Signatures, Mixed Identities and Epithelial-to-Stromal Crosstalk

This study uses single-cell RNA sequencing to identify novel transcriptional signatures and epithelial-stromal interactions in acute kidney injury.

Cell profiling of mouse acute kidney injury reveals conserved cellular responses to injury

The paper uses single nucleus RNA sequencing to identify a proinflammatory and profibrotic proximal tubule cell state in mouse AKI that fails to repair, suggesting it as a therapeutic target.

Modeling acute kidney injury in kidney organoids with cisplatin

This study uses human kidney organoids to model acute kidney injury induced by cisplatin, finding that repeated low-dose treatment reduces toxicity while maintaining AKI responses.

Unsupervised Machine learning to subtype Sepsis-Associated Acute Kidney Injury

This study uses unsupervised machine learning on EHR data to identify two subphenotypes of sepsis-associated AKI with differing mortality rates, emphasizing the importance of intra-patient variability.

Prediction of Acute Kidney Injury with a Machine Learning Algorithm using Electronic Health Record Data

This study develops a machine learning model to predict acute kidney injury using electronic health records, achieving higher accuracy than traditional clinical scores.