Abstract
Annual Review of Pharmacology and Toxicology
Vol. 48:
463-493
(Volume publication date February 2008)
(doi:10.1146/annurev.pharmtox.48.113006.094615)
First published online as a Review in Advance on October 15, 2007Biomarkers of Acute Kidney Injury Vishal S. Vaidya , 1 Michael A. Ferguson , 2 and Joseph V. Bonventre 3 1Renal Division, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115; email: vvaidya@partners.org 2Division of Nephrology, Children's Hospital Boston, Boston, Massachusetts 02115; email: michael.ferguson@childrens.harvard.edu 3Renal Division, Department of Medicine, Harvard Medical School, Boston, Massachusetts 02115; email: joseph_bonventre@hms.harvard.edu Acute kidney injury (AKI) is a common condition with a high risk of death. The standard metrics used to define and monitor the progression of AKI, such as serum creatinine and blood urea nitrogen levels, are insensitive, nonspecific, and change significantly only after significant kidney injury and then with a substantial time delay. This delay in diagnosis not only prevents timely patient management decisions, including administration of putative therapeutic agents, but also significantly affects the preclinical evaluation of toxicity thereby allowing potentially nephrotoxic drug candidates to pass the preclinical safety criteria only to be found to be clinically nephrotoxic with great human costs. Studies to establish effective therapies for AKI will be greatly facilitated by two factors: (a) development of sensitive, specific, and reliable biomarkers for early diagnosis/prognosis of AKI in preclinical and clinical studies, and (b) development and validation of high-throughput innovative technologies that allow rapid multiplexed detection of multiple markers at the bedside. Most recent citing papers (via CrossRef)The hunt for the perfect biomarker for acute kidney injury: back to gamma-trace? Kidney International 74(8):987-989 (2008) Autophagy is cytoprotective during cisplatin injury of renal proximal tubular cells Kidney International 74(5):631-640 (2008) Predicting outcome of IgA nephropathy by use of urinary epidermal growth factor: monocyte chemotactic peptide 1 ratio Nature Clinical Practice Nephrology 4(4):184-185 (2008)
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