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Unique transcriptional programs identify subtypes of AKI

Item Type:Article
Title:Unique transcriptional programs identify subtypes of AKI
Creators Name:Xu, K. and Rosenstiel, P. and Paragas, N. and Hinze, C. and Gao, X. and Huai Shen, T. and Werth, M. and Forster, C. and Deng, R. and Bruck, E. and Boles, R.W. and Tornato, A. and Gopal, T. and Jones, M. and Konig, Ju. and Stauber, J. and D'Agati, V. and Erdjument-Bromage, H. and Saggi, S. and Wagener, G. and Schmidt-Ott, K.M. and Tatonetti, N. and Tempst, P. and Oliver, J.A. and Guarnieri, P. and Barasch, J.
Abstract:Two metrics, a rise in serum creatinine concentration and a decrease in urine output, are considered tantamount to the injury of the kidney tubule and the epithelial cells thereof (AKI). Yet neither criterion emphasizes the etiology or the pathogenetic heterogeneity of acute decreases in kidney excretory function. In fact, whether decreased excretory function due to contraction of the extracellular fluid volume (vAKI) or due to intrinsic kidney injury (iAKI) actually share pathogenesis and should be aggregated in the same diagnostic group remains an open question. To examine this possibility, we created mouse models of iAKI and vAKI that induced a similar increase in serum creatinine concentration. Using laser microdissection to isolate specific domains of the kidney, followed by RNA sequencing, we found that thousands of genes responded specifically to iAKI or to vAKI, but very few responded to both stimuli. In fact, the activated gene sets comprised different, functionally unrelated signal transduction pathways and were expressed in different regions of the kidney. Moreover, we identified distinctive gene expression patterns in human urine as potential biomarkers of either iAKI or vAKI, but not both. Hence, iAKI and vAKI are biologically unrelated, suggesting that molecular analysis should clarify our current definitions of acute changes in kidney excretory function.
Keywords:Transcriptional Profiling, Acute Kidney Injury, Volume Depletion, Renal Ischemia, Biomarkers, Animals, Mice
Source:Journal of the American Society of Nephrology
Publisher:American Society of Nephrology
Page Range:1729-1740
Date:June 2017
Official Publication:https://doi.org/10.1681/ASN.2016090974
External Fulltext:View full text on PubMed Central
PubMed:View item in PubMed

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