Chronic Kidney Disease - JACC

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Research Institute at Lake Nona, Translational Research Institute at Florida Hospital,. Orlando, Florida. Dr. Towler is supported by National Institutes of Health ...

Journal of the American College of Cardiology Ó 2013 by the American College of Cardiology Foundation Published by Elsevier Inc.

EDITORIAL COMMENT

Chronic Kidney Disease The “Perfect Storm” of Cardiometabolic Risk Illuminates Genetic Diathesis in Cardiovascular Disease* Dwight A. Towler, MD, PHD Orlando, Florida

A fact well known to the readers of the Journal: heart disease is the number 1 killer in our society, contributing to 600,000 deaths annually (1). Coronary heart disease (CHD) is responsible for approximately two-thirds of these deaths, and 935,000 Americans experience myocardial infarction (MI) each year (1). Hypertension, elevated low-density lipoprotein cholesterol levels, smoking, and diabetes are well appreciated as risk factors. However, a particularly ominous risk for CHD arises in the setting of chronic kidney disease (CKD) (2). As renal function declines below a glomerular filtration rate of 60 ml/min/1.73 m2, the relative risk for cardiovascular mortality progressively increases by 3-fold, as compared with those without CKD (3), and almost 10-fold in the setting of CKD with diabetes (4). Indeed, the cardiovascular risk conveyed by CKD exceeds that conveyed by diabetes (5,6). See page 789

The relationship between mineral metabolism and cardiovascular risk has been increasingly appreciated over the past 2 decades, now codified in the Kidney Disease: Improving Global Outcomes (KDIGO) designation of CKD-MBD, for “chronic kidney disease–mineral and bone disorder” (7). The CKD-MBD designation only partially captures the clinical implications; the underlying recognition that vascular calcium deposition and skeletal bone mass are reciprocally and functionally coupled in CKD is somewhat reflected in the “MBD,” but the appellation does not fully capture the cardiovascular risk associated with perturbation in this relationship. London et al. (8) have nicely demonstrated that the presence and extent of arterial intimal and medial calcification is a strong predictor of cardiovascular mortality. The fortunate minority of those *Editorials published in the Journal of the American College of Cardiology reflect the views of the authors and do not necessarily represent the views of JACC or the American College of Cardiology. From the Diabetes and Obesity Research Center, Sanford-Burnham Medical Research Institute at Lake Nona, Translational Research Institute at Florida Hospital, Orlando, Florida. Dr. Towler is supported by National Institutes of Health grants HL69229, HL81138, and HL114806 and by the Sanford-Burnham Medical Research Institute; and serves on an advisory board for Merck & Co.

Vol. 62, No. 9, 2013 ISSN 0735-1097/$36.00 http://dx.doi.org/10.1016/j.jacc.2013.04.063

with CKD on renal replacement therapy who do not exhibit overt arterial calcification enjoy much greater longevity (8). The elegant histomorphometric studies by London’s group identified that dialysis patients with the most severe lowturnover bone disease had the most extensive arterial calcium load (9). Although hypercholesterolemia, hypertension, and hypercoagulability in CKD all certainly contribute, coronary artery disease (CAD) morbidity and mortality stubbornly persist in this high-risk population even when aggressive therapeutic regimens targeting these risk factors are implemented (10,11). Of note, the cardiovascular consequences of perturbations in mineral metabolism (viz., phosphate and calcium metabolism) appear to be emerging in patients with normal renal function as well. For example, at every level of renal function, patients with type 2 diabetes (T2DM) experience increased vascular calcium loads (12), and CKD and T2DM synergistically enhance the risk for MI. Moreover, serum calcium and phosphate levels portend allcause cardiovascular mortality at every level of renal function (13). Thus, a role for calciotropic hormone signaling and mineral metabolic in cardiovascular disease is increasingly apparent. The prevailing metabolic and mechanical insults that most frequently cause CKD (14) also promote cardiovascular calcification (15)ddisease that is worsened by declining renal function that globally perturbs mineral metabolism, including the bone–vascular axis (16). As such, CKD represents a metabolic “perfect storm” for cardiovascular disease. In this issue of the Journal, Ferguson et al. (17) successfully explore the enhanced CAD risk in the CRIC (Chronic Renal Insufficiency Cohort) study to reveal novel insights into the molecular genetics of cardiovascular disease. They implement the working hypothesis that the high-risk milieu of CKD would amplify the negative impact of genetic diathesis, functioning as a metabolic magnifying glass to help identify genes conveying CHD risk. As such, this strategy is somewhat, but imperfectly, analogous to the “sensitized screening” used in genetic studies of lower eukaryotes (18). Coronary artery calcification (CAC) scores obtained by multislice computed tomography were used to quantify the aberrant vascular mineral metabolism that demarcates and contributes to arterial disease in the CRIC cohort. The ITMAT/Broad/ CARe (IBC) cardiometabolic single nucleotide polymorphism (SNP) array (Illumina, San Diego, California) (19) was then used to interrogate genetic variability at approximately 2,100 loci known to influence biologically plausible and proven risk pathways in CHD. Because of the relatively small CRIC cohort size (N ¼ 1,509), 2 other sets of CACphenotyped patient populationsdthe PennCAC (Penn Coronary Artery Calcification) study (N ¼ 2,560) and the AFCS (Amish Family Calcification Study) (N ¼ 784)dwere used as independent “filters” to help further validate initial findings from CRIC. Importantly, these latter groups were not enriched for patients with CKD. This strategy helped identify 23 gene loci that were correlated with CAC scores in the CRIC and PennCAC cohort and/or the CRIC and

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Towler Kidney Disease Illuminates Genetic Diathesis in Coronary Disease

AFCS cohort. Importantly, chr9p21dthe premier locus identified as conveying both CAC and CHD risk in genomewide association studies applied to the general population (20)dwas identified by this methodology. Finally, to provide robust evidence for the “hard” primary clinical endpoint of MI, these loci were used to interrogate the PROMIS (Pakistani Risk of Myocardial Infarction Study) cohort. Following this analysis, 4 locidchr9p21, COL4A1, ATP2B1, and ABCA4dwere identified as contributing to MI risk. Both chr9p21 and COL4A1 had been previously identified as contributing to CAC scores in genome-wide association studies (20). At this stage, even when correcting for multiple comparisons (not done at earlier stages of discovery), ATP2B1 and COL4A1 genetics significantly portended increase risk for MI in the PROMIS cohort lacking enrichment for CKD (17). Why is this study so significant? It is enlightening on several levels. First, the impact of CKD specifically upon CAC load before renal replacement therapy has needed assessment in an adequately sized, well-phenotyped cohort, and CRIC has provided this information (12,17). Moreover, it confirms and extends the association of chr9p21 and COL4A1 genotype with coronary calcium load (17,20). Type IV collagen is vital to basement membrane function and vascular integrity, and alterations contribute to tissue calcification risk in other venues (21,22). Indeed, type IV collagen protein accumulation is more intense around sites of calcification in patients with CKD (23). This suggests that additional research into the biological role of type IV collagen in vascular calcification is warranted. Additionally, when viewed in the context of other recent observations, this study suggests that low-cost focused genotyping may yet provide important, cost-effective risk stratification in patients with equivocal CAD risk. CAC arises primarily from atherosclerotic calcification versus medial artery calcification (24), and for individuals at intermediate CHD risk by Framingham criteria, CAC scoring helps better assess the probability for MI (25,26). Thus, given these new results, genotyping for CAC risk could be envisioned in an algorithm that augments the implementation of computed tomography imaging to stratify individual clinical CAD risk (27). Moreover, the loci identified once again implicate mineral metabolism in the pathogenesis of cardiovascular disease. The most intriguing is ATP2B1, alias PMCA1. Via alternative splicing, this gene encodes several different protein isoforms of plasma membrane calcium ATPase 1 (PMCA1), a plasma membrane ATPase that pumps cytosolic calcium across the membrane and out of cells; via this action in vascular smooth muscle cells (VSMCs), PMCA1 regulates vascular tone and blood pressure (28). However, PMCA1 also plays global “housekeeping” functions that are critical to cell viability, and it would be interesting to know whether VSMC’s propensity for apoptotic cell death (29) is altered by PMCA1 insufficiency (30) is relevant to acute coronary events. Compensatory upregulation of VSMC PMCA4 with PMCA1 deficiency may mitigate some of this risk. Moreover, PMCA1 also plays a critical role in regulating bone-resorbing osteoclast

activation by receptor activator of nuclear factor kappa-B ligand (RANKL) (31). This tumor necrosis factor superfamily member is not only necessary for osteoclast differentiation, function, and survival (15,31), but is also implicated in the pathobiology of vascular calcification (32). The ATP2B1 rs11105354A allele tracked both lower CAC score and blood pressure, and it may be that global calcium homeostasis is also altered in this genetic setting (17). Of note, the ATP2B1 rs11105354A allele was significantly associated with increased serum calcium levels (17). Finally, as the authors point out (17), this type of sensitized screening (18) may be useful in the identification of new signaling pathways that contribute to the pathogenesis of CAD through a focus on atherosclerosis phenotypes in patients with CKD. It’s interesting to note that the TLL1 genetic variant identified by Cresci et al. (33) as significantly associated with the extent of CAD appears specific to the setting of T2DM; similar examples of selective interactions between genotype, metabolic milieu, and CAD risk may also arise in the setting of CKD. Nevertheless, given the clinical management challenges we face with our increasingly aged and dysmetabolic patient populationsdoften with concomitant reductions in renal functiondthe insights afforded by genomics combined with multidisciplinary phenotyping of patients with CKD will no doubt provide novel strategies for assigning and mitigating cardiovascular disease risk. Reprint requests and correspondence: Dr. Dwight A. Towler, Cardiovascular Pathobiology Program, Diabetes and Obesity Research Center, Sanford-Burnham Medical Research Institute at Lake Nona, 6400 Sanger Road, Orlando, Florida 32827. E-mail: [email protected]

REFERENCES

1. Schwartz Longacre L, Kloner RA, Arai AE, et al. New horizons in cardioprotection: recommendations from the 2010 National Heart, Lung, and Blood Institute Workshop. Circulation 2011;124:1172–9. 2. Brosius FC 3rd, Hostetter TH, Kelepouris E, et al. Detection of chronic kidney disease in patients with or at increased risk of cardiovascular disease: a science advisory from the American Heart Association Kidney And Cardiovascular Disease Council; the Councils on High Blood Pressure Research, Cardiovascular Disease in the Young, and Epidemiology and Prevention; and the Quality of Care and Outcomes Research Interdisciplinary Working Group. Circulation 2006;114:1083–7. 3. Herzog CA, Asinger RW, Berger AK, et al. Cardiovascular disease in chronic kidney disease. A clinical update from Kidney Disease: Improving Global Outcomes (KDIGO). Kidney Int 2011;80:572–86. 4. Debella YT, Giduma HD, Light RP, Agarwal R. Chronic kidney disease as a coronary disease equivalentda comparison with diabetes over a decade. Clin J Am Soc Nephrol 2011;6:1385–92. 5. Tonelli M, Muntner P, Lloyd A, et al. Risk of coronary events in people with chronic kidney disease compared with those with diabetes: a population-level cohort study. Lancet 2012;380:807–14. 6. Foley RN, Gilbertson DT, Murray T, Collins AJ. Long interdialytic interval and mortality among patients receiving hemodialysis. N Engl J Med 2011;365:1099–107. 7. Moe SM, Drueke T, Lameire N, Eknoyan G. Chronic kidney diseasemineral-bone disorder: a new paradigm. Adv Chronic Kidney Dis 2007;14:3–12. 8. London GM, Guerin AP, Marchais SJ, Metivier F, Pannier B, Adda H. Arterial media calcification in end-stage renal disease: impact

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9. 10.

11.

12. 13. 14. 15. 16. 17.

18. 19. 20. 21. 22.

on all-cause and cardiovascular mortality. Nephrol Dial Transplant 2003;18:1731–40. London GM, Marty C, Marchais SJ, Guerin AP, Metivier F, de Vernejoul MC. Arterial calcifications and bone histomorphometry in end-stage renal disease. J Am Soc Nephrol 2004;15:1943–51. Baigent C, Landray MJ, Reith C, et al. The effects of lowering LDL cholesterol with simvastatin plus ezetimibe in patients with chronic kidney disease (Study of Heart and Renal Protection): a randomised placebo-controlled trial. Lancet 2011;377:2181–92. Palmer SC, Di Micco L, Razavian M, et al. Effects of antiplatelet therapy on mortality and cardiovascular and bleeding outcomes in persons with chronic kidney disease: a systematic review and metaanalysis. Ann Intern Med 2012;156:445–59. Budoff MJ, Rader DJ, Reilly MP, et al. Relationship of estimated GFR and coronary artery calcification in the CRIC (Chronic Renal Insufficiency Cohort) study. Am J Kidney Dis 2011;58:519–26. Ketteler M, Wolf M, Hahn K, Ritz E. Phosphate: a novel cardiovascular risk factor. Eur Heart J 2013;34:1099–101. Maric-Bilkan C. Obesity and diabetic kidney disease. Med Clin North Am 2013;97:59–74. Demer L, Tintut Y. The roles of lipid oxidation products and receptor activator of nuclear factor-kappaB signaling in atherosclerotic calcification. Circ Res 2011;108:1482–93. Thompson B, Towler DA. Arterial calcification and bone physiology: role of the bone-vascular axis. Nat Rev Endocrinol 2012;8:529–43. Ferguson JF, Matthews GJ, Townsend RR, et al. Candidate gene association study of coronary artery calcification in chronic kidney disease: findings from the CRIC study (Chronic Renal Insufficiency Cohort). J Am Coll Cardiol 2013;62:789–98. Newgard CB, Attie AD. Getting biological about the genetics of diabetes. Nat Med 2010;16:388–91. Keating BJ, Tischfield S, Murray SS, et al. Concept, design and implementation of a cardiovascular gene-centric 50 k SNP array for large-scale genomic association studies. PLoS One 2008;3:e3583. O’Donnell CJ, Kavousi M, Smith AV, et al. Genome-wide association study for coronary artery calcification with follow-up in myocardial infarction. Circulation 2011;124:2855–64. Livingston J, Doherty D, Orcesi S, et al. COL4A1 mutations associated with a characteristic pattern of intracranial calcification. Neuropediatrics 2011;42:227–33. Tonduti D, Pichiecchio A, La Piana R, et al. COL4A1-related disease: raised creatine kinase and cerebral calcification as useful pointers. Neuropediatrics 2012;43:283–8.

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23. Gross ML, Meyer HP, Ziebart H, et al. Calcification of coronary intima and media: immunohistochemistry, backscatter imaging, and x-ray analysis in renal and nonrenal patients. Clin J Am Soc Nephrol 2007;2:121–34. 24. Nakamura S, Ishibashi-Ueda H, Niizuma S, Yoshihara F, Horio T, Kawano Y. Coronary calcification in patients with chronic kidney disease and coronary artery disease. Clin J Am Soc Nephrol 2009;4:1892–900. 25. Yeboah J, McClelland RL, Polonsky TS, et al. Comparison of novel risk markers for improvement in cardiovascular risk assessment in intermediate-risk individuals. JAMA 2012;308:788–95. 26. Polonsky TS, McClelland RL, Jorgensen NW, et al. Coronary artery calcium score and risk classification for coronary heart disease prediction. JAMA 2010;303:1610–6. 27. Polonsky TS, Lloyd-Jones DM. Coronary artery calcium testing: dos and don’ts. Cardiol Clin 2012;30:49–55. 28. Kobayashi Y, Hirawa N, Tabara Y, et al. Mice lacking hypertension candidate gene ATP2B1 in vascular smooth muscle cells show significant blood pressure elevation. Hypertension 2012;59:854–60. 29. Ewence AE, Bootman M, Roderick HL, et al. Calcium phosphate crystals induce cell death in human vascular smooth muscle cells: a potential mechanism in atherosclerotic plaque destabilization. Circ Res 2008;103:e28–34. 30. Okunade GW, Miller ML, Pyne GJ, et al. Targeted ablation of plasma membrane Ca2þ-ATPase (PMCA) 1 and 4 indicates a major housekeeping function for PMCA1 and a critical role in hyperactivated sperm motility and male fertility for PMCA4. J Biol Chem 2004;279:33742–50. 31. Kim HJ, Prasad V, Hyung SW, et al. Plasma membrane calcium ATPase regulates bone mass by fine-tuning osteoclast differentiation and survival. J Cell Biol 2012;199:1145–58. 32. Morony S, Sage AP, Corbin T, Lu J, Tintut Y, Demer LL. Enhanced mineralization potential of vascular cells from SM22alpha-Rankl (tg) mice. Calcif Tissue Int 2012;91:379–86. 33. Cresci S, Wu J, Province MA, et al. Peroxisome proliferator-activated receptor pathway gene polymorphism associated with extent of coronary artery disease in patients with type 2 diabetes in the bypass angioplasty revascularization investigation 2 diabetes trial. Circulation 2011;124: 1426–34. Key Words: candidate genes - chronic kidney disease (CKD) - Chronic Renal Insufficiency Cohort Study (CRIC) - coronary artery calcification (CAC) - myocardial infarction (MI) - risk factors - single nucleotide polymorphisms (SNPs).

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