Abstract
Objective
APOE gene variants may contribute to the risk of chronic kidney disease. Our aim was to determine whether the common APOE-ε2/ε3/ε4 polymorphism is associated with a reduced estimated glomerular filtration rate (eGFR) in the RENASTUR population, a cohort of elderly individuals from the region Asturias (northern Spain).
Methods
A total of 743 Spanish Caucasians aged 55-85 years were genotyped for the APOE-ε2/ε3/ε4 polymorphism. Individuals with a previous diagnosis of renal disease were not eligible for the study. Participants with a documented history of type 2 diabetes mellitus (T2DM) or hypertension or who were receiving antidiabetic or antihypertensive drugs were classified as diabetics and hypertensives. The eGFR was calculated using the Modification of Diet in Renal Disease formula, and those with an eGFR <60 ml/min/1.73 m2 (n = 91) were considered as having impaired renal function. The effect of alleles and genotypes on clinical (hypertension, T2DM) and analytical findings was statistically determined.
Results
In addition to age and T2DM, APOE-ε2 was significantly associated with an eGFR <60 ml/min/1.73 m2 (p = 0.002; OR = 2.30). This association remained statistically significant after correction for multiple variables. Although the effect of the APOE-ε2 allele on the eGFR was observed both among diabetics and nondiabetics, the significance was stronger in the T2DM group.
Conclusion
The APOE-ε2 allele is a genetic risk factor for impaired renal function among healthy elderly Spanish individuals.
Key Words : APOE polymorphisms, Type 2 diabetes mellitus, Glomerular filtration rate, Renal function
Introduction
Chronic kidney disease (CKD) is a multifactorial disorder with both acquired (nongenetic) and inherited (genetic) risk factors contributing to define the risk [1]. Previous studies have analyzed the effect of a common APOE polymorphism defined by three alleles (APOE-ε2/ε3/ε4) on the risk of developing impaired renal function, manifested as a reduced glomerular filtration rate (GFR) [2,3,4,5,6,7,8,9,10,11,12,13]. While some authors concluded that the ε2 allele was associated with a higher risk of CKD compared with the ε3 allele, others failed to confirm this association. The ε2 allele has also been linked to macroalbuminuria and worse kidney function in diabetics, whereas the ε4 allele has been shown to be protective against reduced glomerular filtration and diabetic nephropathy [3,10,12]. The association between the APOE polymorphism and low GFR and CKD could be explained by differences in the ability to clear lipids in the kidney, which might result in glomerular damaging and impaired filtration [14,15,16].
The aim of this study was to determine whether the common APOE-ε2/ε3/ε4 polymorphism was associated with a reduced GFR in the RENASTUR population, a cohort of elderly healthy Caucasian individuals from Asturias (northern Spain).
Methods
Study Population and Data Collection
This study was approved by the Ethical Committee of the Hospital Universitario Central de Asturias (HUCA). The RENASTUR cohort consisted of 743 apparently healthy individuals aged 55-85 years who were all Caucasian and lived in the region of Asturias (northern Spain; total population: 1 million). They were chosen from the general population to evaluate the renal function in healthy elderly subjects and were recruited through the Primary Health Care Center of the city of Oviedo. Individuals with a history of renal disease were not eligible for the study. Briefly, we used a computer program to randomly select the social security ID of 1,200 individuals who were asked by telephone to participate in the study. A total of 743 (62%) of these individuals agreed, signed an informed consent, and were interviewed and evaluated by a qualified physician (table 1).
Table 1.
Main characteristics | Total (n = 743) | eGFR <60 ml/min/1.73 m2 (n = 91) | eGFR ≥60 ml/min/1.73 m2 (n = 652) | p values |
---|---|---|---|---|
Age, years | 72 (51–85) | 74 (56–81) | 71 (51–85) | 0.006 |
Male gender | 312 (42) | 45 (49) | 267 (41) | 0.12 |
Smokers | 93 (13) | 15 (16) | 78 (12) | 0.41 |
Weight, kg | 75 (43–160) | 77 (54–155) | 73 (43–160) | 0.10 |
BMI | 29.25 (17.40–46.90) | 29.67 (22.24–46.90) | 29.22 (17.40–45.83) | 0.62 |
Total cholesterol, mg/dl | 220 (38–335) | 209 (38–321) | 219 (71–335) | 0.06 |
LDL cholesterol, mg/dl | 133 (10–249) | 127 (48–239) | 131 (10–249) | 0.06 |
HDL cholesterol, mg/dl | 56 (5–276) | 55 (5–276) | 60 (25–158) | 0.05 |
Triglycerides, mg/dl | 105 (8–470) | 116 (8–436) | 106 (39–470) | 0.07 |
Dyslipidemia | 226 (30) | 33 (36) | 193 (30) | 0.20 |
Serum creatinine, mg/dl | 0.81 (0.41–76) | 1.27 (0.71–76) | 0.77 (0.41–1.40) | <0.001 |
Albuminuria (albumin/creatinine), mg/g | 1.69 (0.30–1,520) | 4.79 (0–1,525) | 1.60 (0–561) | 0.001 |
Hypertensives | 207 (28) | 32 (35) | 175 (27) | 0.10 |
Diabetics (type II) | 176 (24) | 32 (35) | 144 (22) | 0.007 |
APOE genotypes | ||||
23 | 107 (14) | 22 (24) | 85 (13) | 0.002* |
33 | 515 (69) | 52 (57) | 463 (71) | |
34 / 44 | 114 (15) | 17 (19) | 97 (15) | |
24 | 7 (<1) | 0 | 7 (1) | |
APOE alleles | ||||
2 | 114 (8) | 22 (12) | 92 (7) | |
3 | 1,246 (84) | 142 (78) | 1,104 (85) | |
4 | 127 (9) | 18 (10) | 109 (8) |
Values are mean (range) or n (%).
p = 0.002 (APOE genotypes 23 vs. 33); OR = 2.30; 95% CI = 1.33–3.99.
Age, sex, and smoking (ever/never smoked) were self-reported. Body mass index (BMI) was calculated by weight and height measured at the examination, where also systolic and diastolic blood pressure values were obtained. Individuals with a documented history of type 2 diabetes mellitus (T2DM) or hypertension or who were receiving antidiabetic or antihypertensive drugs were classified as diabetics and hypertensives, respectively. The biochemical profiles of all participants were obtained from fasting blood samples collected by venipuncture. Dyslipidemia was considered to be present in participants with total cholesterol >240 mg/dl, triglycerides >200 mg/dl, or high-density lipoprotein (HDL) cholesterol <40 mg/dl or who had a prior diagnosis of dyslipidemia or were receiving lipid-lowering treatment. The estimated GFR (eGFR) was calculated using the Modification of Diet in Renal Disease formula [17].
APOE Genotyping
The three APOE-ε2/ε3/ε4 alleles are defined by two single nucleotide polymorphisms, 3937T/C and 4075C/T (rs429358 and rs7412, respectively; http://www.ensembl.org), that result in two amino acid changes at protein positions 112 (Cys in ε3 and ε2, and Arg in ε4) and 158 (Arg in ε3, Cys in ε2, and Arg in ε4). DNA was obtained from 5 ml of blood leukocytes, and the APOE genotypes were determined through a polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method, as previously reported [18,19]. To confirm the accuracy of this genotyping method, PCR fragments from several individuals with each of the RFLP genotypes were sequenced using BigDye chemistry and an ABI3130 automated system (Applied Biosystems).
Statistical Analysis
Fisher's exact and Student's t tests were used to compare categorical and continuous variables between the groups, respectively. Variables that were significantly associated with eGFR in the univariate analysis were included in the multivariate logistic regression analysis. Odds ratios (ORs) and 95% confidence intervals (CI) were also calculated. p values <0.05 were considered statistically significant.
Results
Table 1 summarizes the main characteristics of the entire RENASTUR cohort as well as of those patients with an eGFR ≥60 ml/min/1.73 m2 (n = 652) and <60 ml/min/1.73 m2 (n = 91). In the univariate analysis, the following variables were significantly associated with an eGFR <60 ml/min/1.73 m2: older age (p < 0.001), T2DM (p = 0.007), and the APOE-ε23 genotype (p = 0.002). In the multivariate logistic regression analysis, age, diabetes, and the APOE genotype remained independent risk factors for an eGFR <60 ml/min/ 1.73 m2 (table 2). Compared to the most common ε33 genotype, the frequency of APOE-ε23 was significantly higher in the eGFR <60 ml/min/1.73 m2 group (p = 0.002; OR = 2.30, 95% CI = 1.33-3.99).
Table 2.
Univariate analysis p values/OR (95% CI) | Multivariate analysis p values/OR (95%CI) | |
---|---|---|
Age (years) | 0.003/0.93 (0.89–0.97) | 0.001/0.906 (0.85–0.90) |
Weight (kg) | 0.305/1.34 (0.76–2.35) | |
BMI | 0.149/0.98 (0.97–1.005) | |
Total cholesterol (mg/dl) | 0.045/1.007 (1–1.015) | 0.84/1 (0.99–1.01) |
LDL cholesterol (mg/dl) | 0.099/1.007 (0.99–1.01) | |
HDL cholesterol (mg/dl) | 0.477/1.006 (0.99–1.022) | |
Triglycerides (mg/dl) | 0.164/0.99 (0.99–1) | |
Dyslipidemia | 0.20/1.35 (0.85–2.14) | |
Uric acid (mg/ml) | 0.206/0.98 (0.97–1) | |
Diabetes | 0.007/1.88 (1.18–3.01) | 0.02/2.08 (1.09–4.68) |
Smoker | 0.895/1.06 (4.30–2.62) | |
Hypertension | 0.10/1.48 (0.92–2.36) | |
Albuminuria rate | <0.001/3.73 (1.78–7.81) | 0.099/2.24 (0.86–5.83) |
APOE genotype (23 vs. 33) | 0.002/2.30 (1.33–3.99) | 0.015/2.52 (1.19–5.33) |
Although the effect of APOE-ε23 on eGFR was observed among both diabetics and nondiabetics, the significance was stronger in the T2DM group (table 3). In the non-T2DM group, the frequencies of APOE-ε23 were 20 and 13% (eGFR <60 and ≥60 ml/min/1.73 m2, respectively; p = 0.02) compared to 31 and 13% among the T2DM participants (p = 0.008).
Table 3.
No T2DM <60 ml/min/1.73 m2 | No T2DM ≥60 ml/min/1.73 m2 | T2DM <60 ml/min/1.73 m2 | T2DM ≥60 ml/min/1.73 m2 | |
---|---|---|---|---|
22 | 0 | 0 | 0 | 0 |
23 | 12 (20) | 66 (13) | 10 (31) | 19 (13) |
24 | 0 | 4 | 0 | 3 |
33 | 36 (60) | 359 (71) | 17 (53) | 104 (72) |
34 | 11 (18) | 75 (15) | 5 (16) | 17 (12) |
44 | 1 | 4 | 0 | 1 |
Values are n (%). p values: 0.02 (No T2DM) and 0.008 (T2DM).
Compared to the APOE-ε33 and -ε34/44 groups, the APOE-ε23 group had lower total cholesterol (p = 0.04) and low-density lipoprotein (LDL) cholesterol levels (p = 0.01), but higher triglyceride levels (p = 0.04; table 4). Dyslipidemia was more frequent among APOE-ε4 allele carriers (p = 0.002). No significant difference in the frequency of T2DM and hypertension was found between the genotypes.
Table 4.
22/23 (n = 107) | 33 (n = 515) | 34/44 (n = 114) | p value | |
---|---|---|---|---|
Age, years | 74 (52–81) | 73 (54–81) | 74 (54–81) | 0.81 |
Weight, kg | 75.5 (47–110) | 76 (52–166) | 73 (46–163) | 0.57 |
BMI | 29.75 (18.59–47.78) | 29.35 (18.22–43.97) | 28.42 (21–46.87) | 0.24 |
Total cholesterol, mg/dl | 206 (97–313) | 215 (71–321) | 217 (18–335) | 0.04 |
LDL cholesterol, mg/dl | 118 (52–210) | 133 (67–239) | 137 (41–470) | 0.01 |
HDL cholesterol, mg/dl | 59 (34–143) | 51 (5–276) | 57 (26–102) | 0.60 |
Triglycerides, mg/dl | 109.5 (40–436) | 99 (8–382) | 106.5 (42–470) | 0.04 |
Dyslipidemia (yes) | 18 (17) | 164 (32) | 44 (39) | 0.002 |
T2DM (yes) | 32 (28) | 121 (23) | 23 (20) | 0.007 |
Hypertension (yes) | 36 (33) | 141 (27) | 30 (26) | 0.46 |
eGFR <60 ml/min/1.73 m2 | 22 (19) | 52 (10) | 17 (15) | 0.002 |
Values are median (min-max) or n (%).
Discussion
The main finding of our study is that there exists a significant association between the APOE-ε2 allele and impaired renal function measured as a decreased GFR (<60 ml/min/ 1.73 m2). The ε2 allele has been linked to the risk of developing nephropathy in T2DM as well as to the progression of renal disease in type 1 diabetics and in patients with several renal diseases, and has also been shown to be a predictor of GFR in apparently healthy individuals [2,3,4,5,6,7,8,9]. Compared to the ε3 protein isoform, apoE-ε2 binds less effectively to apoE and LDL receptors, and this could result in hepatic upregulation of LDL receptors and enhanced clearance of LDL [20,21,22]. This was in agreement with the significantly lower median LDL value among our ε23 participants (table 4).
A recent report did not find significant associations of APOE alleles with kidney function among older adults in the Cardiovascular Health Study (CHS) [13]. Compared to APOE-ε3 homozygotes, APOE-ε2 carriers in the CHS also showed lower total cholesterol and LDL cholesterol levels as well as higher triglyceride values. However, our participants had higher mean BMI (29.25 vs. 26.30), and the frequency of T2DM was also higher in our cohort (24 vs. 14%). Since the effect of APOE-ε2 on reduced eGFR was higher among diabetics, the different rate of T2DM (and other risk factors for reduced eGFR) could explain, in part, the discrepancies between the studies.
The pathway by which apoE acts on the kidney and the ε2 isoform predisposes to lower eGFR has not been elucidated yet. Mean triglyceride values are significantly higher among ε2 carriers, and this would promote the accumulation of cholesteryl esters by human mesangial cells, leading to changes in the mesangial matrix and impaired renal function [23,24]. In support of this hypothesis is the fact that the ε2 allele has been found to be overrepresented among patients with lipoprotein glomerulopathy, which is characterized by an abnormal accumulation of lipids in the glomerular capillary lumen [25,26]. At least one study has reported an increased expression of ApoE in glomerular lesions of patients with diabetic nephropathy, and carriers of the ε2 allele show increased protein expression and glomerular hypertrophy [27]. In addition, ApoE has an immunomodulatory effect (through the reduction of immune stimulatory proteins and T-cell activation) and promotes cell regeneration – two mechanisms that could explain the association between the ε2 isoform and mesangial cell proliferation/diminished filtration surface [14,28,29].
Finally, the association observed between APOE variants and impaired renal function could also be seen in cardiorenal disease [30]. The APOE-ε4 allele has been widely considered proatherogenic, and carriers of this isoform would have an increased risk of developing coronary artery disease and suffering ischemic episodes. Due to its lipid-lowering effect, the ε2 allele has been considered protective against coronary artery disease. Impaired renal function/CKD has been related to the risk of suffering heart failure [31]. Recent studies have identified associations between gene variants and heart failure which could be explained by an effect on renal function [32]. These risk variants could predispose individuals who suffered episodes that damage the heart, such as myocardial infarction, to heart failure. To interpret the effect of APOE on heart failure, we should consider that ε2 is reduced (and ε4 increased) among patients with ischemic episodes. Thus, any study with the aim to determine the role of ε2 on heart failure should take into account its effect on renal function and atherosclerosis.
In conclusion, we report an association between the APOE-ε2 allele and reduced eGFR among elderly Spanish Caucasians.
Disclosure Statement
None of the authors have competing interests related to this work.
Acknowledgement
This work was supported by the Red de Investigación Renal (REDinREN) and the Fondo de Investigaciones Sanitarias (grant 10/01971 to F.O.).
References
- 1.Fox CS, Yang Q, Cupples LA, et al. Genomewide linkage analysis to serum creatinine, GFR, and creatinine clearance in a community-based population: the Framingham Heart Study. J Am Soc Nephrol. 2004;15:2457–2461. doi: 10.1097/01.ASN.0000135972.13396.6F. [DOI] [PubMed] [Google Scholar]
- 2.Horita K, Eto M, Makino I. Apolipoprotein E2, renal failure and lipid abnormalities in non-insulin-dependent diabetes mellitus. Atherosclerosis. 1994;107:203–211. doi: 10.1016/0021-9150(94)90021-3. [DOI] [PubMed] [Google Scholar]
- 3.Eto M, Horita K, Morikawa A, et al. Increased frequency of apolipoprotein epsilon 2 allele in non-insulin dependent diabetic (NIDDM) patients with nephropathy. Clin Genet. 1995;48:288–292. doi: 10.1111/j.1399-0004.1995.tb04111.x. [DOI] [PubMed] [Google Scholar]
- 4.Hsu CC, Kao WH, Coresh J, et al. Apolipoprotein E and progression of chronic kidney disease. JAMA. 2005;293:2892–2899. doi: 10.1001/jama.293.23.2892. [DOI] [PubMed] [Google Scholar]
- 5.Chu AY, Parekh RS, Astor BC, et al. Association of APOE polymorphism with chronic kidney disease in a nationally representative sample: a Third National Health and Nutrition Examination Survey (NHANES III) Genetic Study. BMC Med Genet. 2009;10:108. doi: 10.1186/1471-2350-10-108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Yoshida T, Kato K, Yokoi K, et al. Association of gene polymorphisms with chronic kidney disease in high- or low-risk subjects defined by conventional risk factors. Int J Mol Med. 2009;23:785–792. doi: 10.3892/ijmm_00000193. [DOI] [PubMed] [Google Scholar]
- 7.Yoshida T, Kato K, Fujimaki T, et al. Association of genetic variants with chronic kidney disease in Japanese individuals. Clin J Am Soc Nephrol. 2009;4:883–890. doi: 10.2215/CJN.04350808. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Mooyaart AL, Valk EJ, van Es LA, et al. Genetic associations in diabetic nephropathy: a meta-analysis. Diabetologia. 2011;54:544–553. doi: 10.1007/s00125-010-1996-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Li Y, Tang K, Zhang Z, et al. Genetic diversity of the apolipoprotein E gene and diabetic nephropathy: a meta-analysis. Mol Biol Rep. 2011;38:3243–3252. doi: 10.1007/s11033-010-9999-z. [DOI] [PubMed] [Google Scholar]
- 10.Ha SK, Park HS, Kim KW, et al. Association between apolipoprotein E polymorphism and macroalbuminuria in patients with non-insulin dependent diabetes mellitus. Nephrol Dial Transplant. 1999;14:2144–2149. doi: 10.1093/ndt/14.9.2144. [DOI] [PubMed] [Google Scholar]
- 11.Oda H, Yorioka N, Ueda C, et al. Apolipoprotein E polymorphism and renal disease. Kidney Int Suppl. 1999;71:S25–S27. doi: 10.1046/j.1523-1755.1999.07107.x. [DOI] [PubMed] [Google Scholar]
- 12.Liberopoulos E, Siamopoulos K, Elisaf M. Apolipoprotein E and renal disease. Am J Kidney Dis. 2004;43:223–233. doi: 10.1053/j.ajkd.2003.10.013. [DOI] [PubMed] [Google Scholar]
- 13.Seshasai RK, Katz R, de Boer IH, et al. Apolipoprotein E and kidney function in older adults. Clin Nephrol. 2012;78:174–180. doi: 10.5414/CN107427. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Mahley RW, Rall SC., Jr Apolipoprotein E: far more than a lipid transport protein. Annu Rev Genomics Hum Genet. 2000;1:507–537. doi: 10.1146/annurev.genom.1.1.507. [DOI] [PubMed] [Google Scholar]
- 15.Chen G, Paka L, Kako Y, et al. A protective role for kidney apolipoprotein E. Regulation of mesangial cell proliferation and matrix expansion. J Biol Chem. 2001;276:49142–49147. doi: 10.1074/jbc.M104879200. [DOI] [PubMed] [Google Scholar]
- 16.Zeleny M, Swertfeger DK, Weisgraber KH, et al. Distinct apolipoprotein E isoform preference for inhibition of smooth muscle cell migration and proliferation. Biochemistry. 2002;41:11820–11823. doi: 10.1021/bi026202k. [DOI] [PubMed] [Google Scholar]
- 17.Levey AS, Bosch JP, Lewis JB, et al. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Modification of Diet in Renal Disease Study Group. Ann Intern Med. 1999;130:461–470. doi: 10.7326/0003-4819-130-6-199903160-00002. [DOI] [PubMed] [Google Scholar]
- 18.Wenham PR, Price WH, Blundell G. Apolipoprotein E genotyping by one-stage PCR. Lancet. 1991;337:1158–1159. doi: 10.1016/0140-6736(91)92823-k. [DOI] [PubMed] [Google Scholar]
- 19.Batalla A, Alvarez R, Reguero JR, et al. Synergistic effect between apolipoprotein E and angiotensinogen gene polymorphisms in the risk for early myocardial infarction. Clin Chem. 2000;46:1910–1915. [PubMed] [Google Scholar]
- 20.Weisgraber KH, Innerarity TL, Mahley RW. Abnormal lipoprotein receptor-binding activity of the human E apoprotein due to cysteine-arginine interchange at a single site. J Biol Chem. 1982;257:2518–2521. [PubMed] [Google Scholar]
- 21.Medina-Urrutia AX, Cardoso-Saldana GC, Zamora-Gonzalez J, et al. Apolipoprotein E polymorphism is related to plasma lipids and apolipoproteins in Mexican adolescents. Hum Biol. 2004;76:605–614. doi: 10.1353/hub.2004.0059. [DOI] [PubMed] [Google Scholar]
- 22.Alvim RO, Freitas SR, Ferreira NE, et al. APOE polymorphism is associated with lipid profile, but not with arterial stiffness in the general population. Lipids Health Dis. 2010;9:128. doi: 10.1186/1476-511X-9-128. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Attman PO, Samuelsson O, Alaupovic P. Lipoprotein metabolism and renal failure. Am J Kidney Dis. 1993;21:573–592. doi: 10.1016/s0272-6386(12)80030-8. [DOI] [PubMed] [Google Scholar]
- 24.Saito T. Abnormal lipid metabolism and renal disorders. Tohoku J Exp Med. 1997;181:321–337. doi: 10.1620/tjem.181.321. [DOI] [PubMed] [Google Scholar]
- 25.Oikawa S, Suzuki N, Sakuma E, et al. Abnormal lipoprotein and apolipoprotein pattern in lipoprotein glomerulopathy. Am J Kidney Dis. 1991;18:553–558. doi: 10.1016/s0272-6386(12)80649-4. [DOI] [PubMed] [Google Scholar]
- 26.Sakatsume M, Kadomura M, Sakata I, et al. Novel glomerular lipoprotein deposits associated with apolipoprotein E2 homozygosity. Kidney Int. 2001;59:1911–1918. doi: 10.1046/j.1523-1755.2001.0590051911.x. [DOI] [PubMed] [Google Scholar]
- 27.Guan J, Zhao HL, Baum L, et al. Apolipoprotein E polymorphism and expression in type 2 diabetic patients with nephropathy: clinicopathological correlation. Nephrol Dial Transplant. 2009;24:1889–1895. doi: 10.1093/ndt/gfn734. [DOI] [PubMed] [Google Scholar]
- 28.Tenger C, Zhou X. Apolipoprotein E modulates immune activation by acting on the antigen-presenting cell. Immunology. 2003;109:392–397. doi: 10.1046/j.1365-2567.2003.01665.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Bruneval P, Bariety J, Belair MF, et al. Mesangial expansion associated with glomerular endothelial cell activation and macrophage recruitment is developing in hyperlipidaemic apoE null mice. Nephrol Dial Transplant. 2002;17:2099–2107. doi: 10.1093/ndt/17.12.2099. [DOI] [PubMed] [Google Scholar]
- 30.Chan EJ, Dellsperger KC. Cardiorenal syndrome: the clinical cardiologists' perspective. Cardiorenal Med. 2011;1:13–22. doi: 10.1159/000322820. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Blasco L, Sanjuan R, Carbonell N, et al. Estimated glomerular filtration rate in short-risk stratification in acute myocardial infarction. Cardiorenal Med. 2011;1:131–138. doi: 10.1159/000327021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Cappola TP, Matkovich SJ, Wang W, et al. Loss-of-function DNA sequence variant in the CLCNKA chloride channel implicates the cardio-renal axis in interindividual heart failure risk variation. Proc Natl Acad Sci USA. 2011;108:2456–2461. doi: 10.1073/pnas.1017494108. [DOI] [PMC free article] [PubMed] [Google Scholar]