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Biomarkers of drug-induced acute kidney injury in the adult

Overview of attention for article published in Expert Opinion on Drug Metabolism & Toxicology, September 2015
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Title
Biomarkers of drug-induced acute kidney injury in the adult
Published in
Expert Opinion on Drug Metabolism & Toxicology, September 2015
DOI 10.1517/17425255.2015.1083011
Pubmed ID
Authors

Glenda C Gobe, Jeff S Coombes, Robert G Fassett, Zoltan H Endre

Abstract

This article addresses general biomarkers of drug-induced acute kidney injury (AKI) and their application in development and progression of AKI in the adult. It also highlights some clinical benefits, but also uncertainties, of biomarker use. Drug-induced AKI is traditionally diagnosed by monitoring serum creatinine (SCr), blood urea nitrogen and albuminuria. The sensitivity of these measures is, however, limited to well-established AKI. Application of selected biomarkers for early diagnosis of drug-induced AKI may inform on progression of AKI and alert clinicians to adopt renoprotective strategies at the earliest times. Novel biomarkers, accepted for early detection of drug-induced AKI (kidney injury molecule-1, neutrophil gelatinase-associated lipocalin and N-acetyl-β-d-glucosaminidase), may be useful additions in panels of biomarkers. Clinical biomarkers of cell cycle arrest, tissue inhibitor of metalloproteinase-2 and insulin-like growth factor binding protein 7 show promise but need further validation in clinical trials. Traditional parameters, such as SCr, provide some guidance for functional decline in drug-induced AKI but early, more sensitive, affordable, clinically acceptable, biomarkers of kidney dysfunction are needed. Basic biological understanding of AKI will improve with high-throughput methodologies such as proteomics and metabolomics, and this should lead to identification and usage of novel biomarkers. Ultimately, a combination of biomarkers indicating kidney dysfunction and damage is likely to be required.

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Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Student > Ph. D. Student 9 18%
Student > Doctoral Student 5 10%
Researcher 5 10%
Student > Postgraduate 4 8%
Other 8 16%
Unknown 11 22%
Readers by discipline Count As %
Medicine and Dentistry 15 29%
Biochemistry, Genetics and Molecular Biology 7 14%
Agricultural and Biological Sciences 6 12%
Engineering 3 6%
Veterinary Science and Veterinary Medicine 2 4%
Other 6 12%
Unknown 12 24%