Usage Information
Citation Information: JCI Insight. 2018;3(22):e123482. https://doi.org/10.1172/jci.insight.123482.
Abstract
Our previous work demonstrated a protective role of protein S in early diabetic kidney disease (DKD). Protein S exerts antiinflammatory and antiapoptotic effects through the activation of TYRO3, AXL, and MER (TAM) receptors. Among the 3 TAM receptors, we showed that the biological effects of protein S were mediated largely by TYRO3 in diabetic kidneys. Our data now show that TYRO3 mRNA expression is highly enriched in human glomeruli and that TYRO3 protein is expressed in podocytes. Interestingly, glomerular TYRO3 mRNA expression increased in mild DKD but was suppressed in progressive DKD, as well as in focal segmental glomerulosclerosis (FSGS). Functionally, morpholino-mediated knockdown of tyro3 altered glomerular filtration barrier development in zebrafish larvae, and genetic ablation of Tyro3 in murine models of DKD and Adriamycin-induced nephropathy (ADRN) worsened albuminuria and glomerular injury. Conversely, the induction of TYRO3 overexpression specifically in podocytes significantly attenuated albuminuria and kidney injury in mice with DKD, ADRN, and HIV-associated nephropathy (HIVAN). Mechanistically, TYRO3 expression was suppressed by activation of TNF-α/NF-κB pathway, which may contribute to decreased TYRO3 expression in progressive DKD and FSGS, and TYRO3 signaling conferred antiapoptotic effects through the activation of AKT in podocytes. In conclusion, TYRO3 plays a critical role in maintaining normal podocyte function and may be a potential new drug target to treat glomerular diseases.
Authors
Fang Zhong, Zhaohong Chen, Liwen Zhang, Yifan Xie, Viji Nair, Wenjun Ju, Matthias Kretzler, Robert G. Nelson, Zhengzhe Li, Hongyu Chen, Yongjun Wang, Aihua Zhang, Kyung Lee, Zhihong Liu, John Cijiang He
Usage data is cumulative from November 2023 through November 2024.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 365 | 194 |
| 59 | 95 | |
| Figure | 167 | 12 |
| Supplemental data | 25 | 5 |
| Citation downloads | 34 | 0 |
| Totals | 650 | 306 |
| Total Views | 956 | |
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.
