People with kidney disease are disproportionately affected by atherosclerosis for unclear reasons. Soluble urokinase plasminogen activator receptor (suPAR) is an immune-derived mediator of kidney disease, levels of which are strongly associated with cardiovascular outcomes. We assessed suPAR’s pathogenic involvement in atherosclerosis using epidemiologic, genetic, and experimental approaches. We found serum suPAR levels to be predictive of coronary artery calcification and cardiovascular events in 5,406 participants without known coronary disease. In a genome-wide association meta-analysis including over 25,000 individuals, we identified a missense variant in the plasminogen activator, urokinase receptor (PLAUR) gene (rs4760), confirmed experimentally to lead to higher suPAR levels. Mendelian randomization analysis in the UK Biobank using rs4760 indicated a causal association between genetically predicted suPAR levels and atherosclerotic phenotypes. In an experimental model of atherosclerosis, proprotein convertase subtilisin/kexin–9 (Pcsk9) transfection in mice overexpressing suPAR (suPARTg) led to substantially increased atherosclerotic plaques with necrotic cores and macrophage infiltration compared with those in WT mice, despite similar cholesterol levels. Prior to induction of atherosclerosis, aortas of suPARTg mice excreted higher levels of CCL2 and had higher monocyte counts compared with WT aortas. Aortic and circulating suPARTg monocytes exhibited a proinflammatory profile and enhanced chemotaxis. These findings characterize suPAR as a pathogenic factor for atherosclerosis acting at least partially through modulation of monocyte function.
George Hindy, Daniel J. Tyrrell, Alexi Vasbinder, Changli Wei, Feriel Presswalla, Hui Wang, Pennelope Blakely, Ayse Bilge Ozel, Sarah Graham, Grace H. Holton, Joseph Dowsett, Akl C. Fahed, Kingsley-Michael Amadi, Grace K. Erne, Annika Tekmulla, Anis Ismail, Christopher Launius, Nona Sotoodehnia, James S. Pankow, Lise Wegner Thørner, Christian Erikstrup, Ole Birger Pedersen, Karina Banasik, Søren Brunak, Henrik Ullum, Jesper Eugen-Olsen, Sisse Rye Ostrowski, on behalf of the DBDS Consortium, Mary E. Haas, Jonas B. Nielsen, Luca A. Lotta, on behalf of the Regeneron Genetics Center, Gunnar Engström, Olle Melander, Marju Orho-Melander, Lili Zhao, Venkatesh L. Murthy, David J. Pinsky, Cristen J. Willer, Susan R. Heckbert, Jochen Reiser, Daniel R. Goldstein, Karl C. Desch, Salim S. Hayek
Usage data is cumulative from January 2024 through January 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 2,596 | 642 |
329 | 195 | |
Figure | 375 | 19 |
Table | 77 | 0 |
Supplemental data | 109 | 10 |
Citation downloads | 110 | 0 |
Totals | 3,596 | 866 |
Total Views | 4,462 |
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.