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Related Concept Videos

Acute Kidney Injury II: Pathophysiology01:29

Acute Kidney Injury II: Pathophysiology

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Acute kidney injury (AKI) causes are categorized into three primary categories based on the location of the injury: prerenal, intrarenal (or intrinsic), and postrenal causes. This classification guides clinical management and illustrates how different pathways can impair kidney function.Etiology and Pathophysiology of Acute Kidney Injury1. Prerenal causesEtiology: Prerenal Acute Kidney Injury, the most common type, occurs when reduced blood flow to the kidneys decreases filtration capacity...
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Acute Kidney Injury I: Introduction01:22

Acute Kidney Injury I: Introduction

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Introduction:Acute Kidney Injury (AKI) describes a swift decrease in kidney function occurring over hours to days, characterized by the kidneys' failure to remove waste products from the bloodstream. This leads to dangerous complications like metabolic acidosis, fluid overload, and electrolyte imbalances, such as hyperkalemia, which can cause life-threatening arrhythmias. AKI is common in both hospital and outpatient settings, often triggered by dehydration, sepsis, or exposure to nephrotoxic...
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Acute Kidney Injury Model Induced by Cisplatin in Adult Zebrafish13:25

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This protocol describes the procedures to induce Acute Kidney Injury (AKI) in adult zebrafish using cisplatin as a nephrotoxic agent. We detailed the steps to evaluate the reproducibility of the technique and two techniques to analyze inflammation and cell death in the renal tissue, flow cytometry and TUNEL,...
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Nephrotoxin Microinjection in Zebrafish to Model Acute Kidney Injury07:58

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Renal injuries incurred from nephrotoxins, which include drugs ranging from antibiotics to chemotherapeutics, can result in complex disorders whose pathogenesis remains incompletely understood. This protocol demonstrates how zebrafish can be used for disease modeling of these conditions, which can be applied to the identification of renoprotective...
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Ischemia-reperfusion Model of Acute Kidney Injury and Post Injury Fibrosis in Mice09:09

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We describe models of moderate and severe ischemia-reperfusion-induced kidney injury in which the mice undergo unilateral renal pedicle clamping followed by simultaneous or delayed contralateral nephrectomy, respectively. These models consistently give rise to renal dysfunction and post-injury fibrosis, but injury severity and survival are dependent on mouse background, age and surgical...
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Intravenous Microinjections of Zebrafish Larvae to Study Acute Kidney Injury15:55

Intravenous Microinjections of Zebrafish Larvae to Study Acute Kidney Injury

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We describe a technique of microinjecting the aminoglycoside, gentamicin, into 2 days post-fetilization (dpf) zebrafish larvae to induce acute kidney injury (AKI). We also describe a method for whole mount immunohistochemistry, plastic embedding and sectioning of zebrafish larvae to visualize the AKI mediated damage.
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Related Experiment Video

Updated: Jan 20, 2026

Acute Kidney Injury Model Induced by Cisplatin in Adult Zebrafish
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Predicting acute kidney injury: current status and future challenges.

Simona Pozzoli1, Marco Simonini2, Paolo Manunta1

  • 1Chair of Nephrology - IRCCS San Raffaele Scientific Institute, Genomics of Renal Diseases and Hypertension Unit, Università Vita Salute San Raffaele, Via Olgettina 60, 20132, Milan, Italy.

Journal of Nephrology
|June 19, 2017
PubMed
Summary

Early detection of acute kidney injury (AKI) is crucial. This review explores new biomarkers and predictive models to improve AKI diagnosis and patient outcomes, addressing current challenges in renal function assessment.

Keywords:
Acute kidney injuryBiomarkersGeneticsNew OMICsPrediction

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Area of Science:

  • Nephrology
  • Clinical Medicine
  • Biomarker Research

Background:

  • Acute kidney injury (AKI) significantly increases mortality, hospitalization, and healthcare costs.
  • Late diagnosis of AKI, often based on serum creatinine (SCr) elevation, can worsen patient outcomes.
  • There is a critical need for improved methods for early AKI detection.

Purpose of the Study:

  • To review the current advancements in the prediction and early detection of AKI.
  • To discuss novel tools, biomarkers, and predictive models for AKI.
  • To outline future challenges in the field of AKI management.

Main Methods:

  • Narrative review of existing literature.
  • Synthesis of current research on AKI prediction and early detection strategies.
  • Analysis of proposed biomarkers and predictive models.

Main Results:

  • Numerous new tools, biomarkers, and predictive models have been developed to aid in AKI diagnosis.
  • These advancements aim to facilitate earlier detection compared to traditional SCr-based methods.
  • The review highlights the ongoing efforts to improve clinical practice for AKI.

Conclusions:

  • Early and accurate detection of AKI is paramount for reducing its severe clinical impact.
  • Continued research into novel biomarkers and predictive models is essential for advancing AKI care.
  • Addressing current challenges will pave the way for better prevention and management of AKI.