Immune-mediated nephritis contributes to disease in systemic lupus erythematosus, Goodpasture syndrome (caused by antibodies specific for glomerular basement membrane [anti-GBM antibodies]), and spontaneous lupus nephritis. Inbred mouse strains differ in susceptibility to anti-GBM antibody–induced and spontaneous lupus nephritis. This study sought to clarify the genetic and molecular factors that may be responsible for enhanced immune-mediated renal disease in these models. When the kidneys of 3 mouse strains sensitive to anti-GBM antibody–induced nephritis were compared with those of 2 control strains using microarray analysis, one-fifth of the underexpressed genes belonged to the kallikrein gene family, which encodes serine esterases. Mouse strains that upregulated renal and urinary kallikreins exhibited less evidence of disease. Antagonizing the kallikrein pathway augmented disease, while agonists dampened the severity of anti-GBM antibody–induced nephritis. In addition, nephritis-sensitive mouse strains had kallikrein haplotypes that were distinct from those of control strains, including several regulatory polymorphisms, some of which were associated with functional consequences. Indeed, increased susceptibility to anti-GBM antibody–induced nephritis and spontaneous lupus nephritis was achieved by breeding mice with a genetic interval harboring the kallikrein genes onto a disease-resistant background. Finally, both human SLE and spontaneous lupus nephritis were found to be associated with kallikrein genes, particularly KLK1 and the KLK3 promoter, when DNA SNPs from independent cohorts of SLE patients and controls were compared. Collectively, these studies suggest that kallikreins are protective disease-associated genes in anti-GBM antibody–induced nephritis and lupus.
Kui Liu, Quan-Zhen Li, Angelica M. Delgado-Vega, Anna-Karin Abelson, Elena Sánchez, Jennifer A. Kelly, Li Li, Yang Liu, Jinchun Zhou, Mei Yan, Qiu Ye, Shenxi Liu, Chun Xie, Xin J. Zhou, Sharon A. Chung, Bernardo Pons-Estel, Torsten Witte, Enrique de Ramón, Sang-Cheol Bae, Nadia Barizzone, Gian Domenico Sebastiani, Joan T. Merrill, Peter K. Gregersen, Gary G. Gilkeson, Robert P. Kimberly, Timothy J. Vyse, Il Kim, Sandra D’Alfonso, Javier Martin, John B. Harley, Lindsey A. Criswell, The Profile Study Group, The Italian Collaborative Group, The German Collaborative Group, The Spanish Collaborative Group, The Argentinian Collaborative Group, The SLEGEN Consortium, Edward K. Wakeland, Marta E. Alarcón-Riquelme, Chandra Mohan
Usage data is cumulative from January 2024 through January 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 691 | 67 |
91 | 31 | |
Figure | 235 | 14 |
Table | 192 | 0 |
Supplemental data | 90 | 1 |
Citation downloads | 68 | 0 |
Totals | 1,367 | 113 |
Total Views | 1,480 |
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.