Usage Information
Abstract
Though an acute kidney injury (AKI) episode is associated with an increased risk of chronic kidney disease (CKD), the mechanisms determining the transition from acute to irreversible chronic injury are not well understood. To extend our understanding of renal repair, and its limits, we performed a detailed molecular characterization of a murine ischemia/reperfusion injury (IRI) model for 12 months after injury. Together, the data comprising RNA-sequencing (RNA-seq) analysis at multiple time points, histological studies, and molecular and cellular characterization of targeted gene activity provide a comprehensive profile of injury, repair, and long-term maladaptive responses following IRI. Tubular atrophy, interstitial fibrosis, inflammation, and development of multiple renal cysts were major long-term outcomes of IRI. Progressive proximal tubular injury tracks with de novo activation of multiple Krt genes, including Krt20, a biomarker of renal tubule injury. RNA-seq analysis highlights a cascade of temporal-specific gene expression patterns related to tubular injury/repair, fibrosis, and innate and adaptive immunity. Intersection of these data with human kidney transplant expression profiles identified overlapping gene expression signatures correlating with different stages of the murine IRI response. The comprehensive characterization of incomplete recovery after ischemic AKI provides a valuable resource for determining the underlying pathophysiology of human CKD.
Authors
Jing Liu, Sanjeev Kumar, Egor Dolzhenko, Gregory F. Alvarado, Jinjin Guo, Can Lu, Yibu Chen, Meng Li, Mark C. Dessing, Riana K. Parvez, Pietro E. Cippà, A. Michaela Krautzberger, Gohar Saribekyan, Andrew D. Smith, Andrew P. McMahon
Usage data is cumulative from March 2025 through March 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 2,934 | 977 |
| 304 | 185 | |
| Figure | 710 | 8 |
| Table | 59 | 0 |
| Supplemental data | 208 | 112 |
| Citation downloads | 124 | 0 |
| Totals | 4,339 | 1,282 |
| Total Views | 5,621 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
