Segewkal Heruye

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ResearchNephrology Open Access | 10.1172/JCI180117 J Clin Invest. https://doi.org/10.1172/JCI180117. Copyright © 2024, Heruye et al. This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. View PDF Abstract The progression of kidney disease varies among individuals, but a general methodology to quantify disease timelines is lacking.

Abstract The progression of kidney disease varies among individuals, but a general methodology to quantify disease timelines is lacking. Particularly challenging is the task of determining the potential for recovery from acute kidney injury following various insults. Here, we report that quantitation of post-transcriptional adenosine-to-inosine (A-to-I) RNA editing offers a distinct genome-wide signature, enabling the delineation of disease trajectories in the kidney.