The lymphatic system maintains fluid homeostasis and orchestrates immune cell trafficking throughout tissues. While extensively studied in cancer and lymphedema, its role in nonlymphoid organs, particularly the kidney, remains an emerging area of investigation. Previous research established molecular connections among NF-κB, VEGFR-3, and PROX-1 in regulating lymphatic growth during inflammation, and studies using global knockout mice revealed that the NF-κB1 subunit (p50) influences lymphatic vessel density. However, the role of RelA — a key component of the canonical NF-κB heterodimer — in regulating lymphatic growth and kidney function following acute kidney injury (AKI) remains unexplored. Using an inducible, predominantly lymphatic endothelial cell-specific RelA-knockout mouse model, we demonstrated that RelA expression in VEGFR-3+ cells is essential for VEGFR-3–driven lymphangiogenesis following AKI. Knockout mice exhibited substantially worse kidney function, altered histological features, impaired VEGFR-3–dependent lymphangiogenesis, and dysregulated immune cell trafficking compared with WT mice. Compensatory upregulation of PROX-1 and podoplanin occurred despite decreased VEGFR-3 and LYVE-1 total protein expression, suggesting complex regulatory mechanisms. Our findings suggest that RelA is a critical sensor for inflammation and regulator of protective lymphangiogenesis following kidney injury and provide insights into potential therapeutic targets for improved kidney injury outcomes.
Arin L. Melkonian, Amie M. Traylor, Anna A. Zmijewska, Kyle H. Moore, Gelare Ghajar-Rahimi, Stephanie Esman, Yanlin Jiang, Hani Jang, Babak J. Mehrara, Timmy C. Lee, James F. George, Anupam Agarwal
Usage data is cumulative from January 2026 through July 2026.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 2,299 | 0 |
| 516 | 0 | |
| Figure | 710 | 0 |
| Supplemental data | 607 | 0 |
| Citation downloads | 278 | 0 |
| Totals | 4,410 | 0 |
| Total Views | 4,410 | |
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.