2018
DOI: 10.1080/14789450.2018.1443007
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The future role of proteomics in the understanding of acute kidney injury

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Cited by 7 publications
(5 citation statements)
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“…Biomarkers of acute kidney injury. Most of the biomarkers of renal damage characterized in the field of AKI and DGF, such as neutrophil gelatinase-associated lipocain (NGAL) and kidney injury molecule-1 (KIM-1), are associated with tubular injury (9,99). Neither KIM-1 nor NGAL have shown any association with ulterior graft function in patients with DGF (85).…”
Section: Ischemia-reperfusion Injury To the Kidney Graft Microcirculation And Relevant Biomarkersmentioning
confidence: 99%
“…Biomarkers of acute kidney injury. Most of the biomarkers of renal damage characterized in the field of AKI and DGF, such as neutrophil gelatinase-associated lipocain (NGAL) and kidney injury molecule-1 (KIM-1), are associated with tubular injury (9,99). Neither KIM-1 nor NGAL have shown any association with ulterior graft function in patients with DGF (85).…”
Section: Ischemia-reperfusion Injury To the Kidney Graft Microcirculation And Relevant Biomarkersmentioning
confidence: 99%
“…Current diagnostic tools do not allow early detection or prediction of the course of AKI, thereby hampering any improvement in patient outcome [49]. The search for biomarkers predicting progression to severe damage has come up with substances that exhibit the presence of AKI but are of limited success in differentiating severe AKI from less severe forms [50]. Most of these biomarkers are closely linked to a single pathologic process, so that they perform poorly in AKI populations with other pathophysiological mechanisms or heterogeneous origins [49].…”
Section: Acute Kidney Injurymentioning
confidence: 99%
“…It is a powerful tool for detecting targets in response to drug therapy/toxicity by monitoring changes in protein expression, and the strategy for discovering targets is to compare differentially expressed proteins (DEPs) in biological samples, which reflect the progress of in vivo toxicity or are used as prognostic markers ( Titz et al, 2014 ). Recently the method is more and more widely used to explore the pharmacological and toxicological mechanisms of herbs ( Bennett and Devarajan, 2018 ). Label-free quantitative method is one of the important applications in the field of proteomics research.…”
Section: Introductionmentioning
confidence: 99%