Literature DB >> 29142954

Asymmetric Dimethylarginine (ADMA) Levels Are Lower in Hemodialysis Patients Treated With Paricalcitol.

Elena Oliva-Damaso1, Nestor Oliva-Damaso2, Francisco Rodriguez-Esparragon3, Juan Payan4, Alberto Marañes2, Yanet Parodis1, Lopez Eduardo Baamonde-Laborda1, Nicanor Vega Diaz1, Jose Carlos Rodriguez-Perez1.   

Abstract

INTRODUCTION: Chronic kidney disease is a major public health problem. In the last decade, it has been shown that the early stages of chronic kidney disease are associated with an inflammatory condition involving an increased risk of cardiovascular morbidity and long-term mortality. In patients with chronic kidney disease and more specifically those on hemodialysis, cardiovascular events are the most common cause of death. Asymmetric dimethylarginine (ADMA) is an endogenous inhibitor of nitric oxide synthase and may be an independent risk factor for endothelial dysfunction and cardiovascular disease.
METHODS: We performed a cross-sectional analysis to identify factors that were associated with ADMA such as certain medications related to cardiovascular disease in dialysis patients.
RESULTS: Patients who were treated with paricalcitol had significantly lower levels of ADMA (0.21 ± 0.19 μmol/l) compared with those not treated with paricalcitol (0.42 ± 0.35 μmol/l) (P = 0.00027). Dividing ADMA levels by quartiles, patients treated with paricalcitol were less likely to have very high level ADMA (P = 0.014), whereas there were no significant differences with other medications. Higher dose of paricalcitol was also related to lower levels of ADMA noting an inverse correlation (r = -0.36, P = 0.013). DISCUSSION: Hemodialysis patients treated with paricalcitol presented significantly decreased ADMA levels compared with those who did not receive this treatment. Possible beneficial effects in terms of cardiovascular morbidity and mortality by paricalcitol and its association with ADMA and nitric oxide synthesis are unknown. Studies to confirm this effect and determine the underlying pathophysiological mechanism are necessary.

Entities:  

Keywords:  ESRD; asymmetric dimethylarginine; dialysis; hemodialysis; paricalcitol

Year:  2016        PMID: 29142954      PMCID: PMC5678616          DOI: 10.1016/j.ekir.2016.10.002

Source DB:  PubMed          Journal:  Kidney Int Rep        ISSN: 2468-0249


Asymmetric dimethylarginine (ADMA) is an endogenous nitric oxide synthase inhibitor that may be an independent risk factor for endothelial dysfunction and cardiovascular disease. Patients with and without established coronary heart disease and elevated levels of serum ADMA have an increased risk of acute coronary events compared with individuals with lower ADMA levels.2, 3, 4 ADMA, which is significantly increased in end-stage renal disease (ESRD), is an endogenous inhibitor of nitric oxide.6, 7 Inhibition of nitric oxide synthesis in patients with ESRD may cause vasoconstriction and hypertension, thereby resulting in adverse cardiovascular outcomes.8, 9, 10, 11 In hemodialysis patients, plasma ADMA is a strong and independent predictor of overall mortality and cardiovascular outcome. Paricalcitol has demonstrated effects on endothelial function and suppressing inflammation decreasing levels of high-sensitivity C-reactive protein, tumor necrosis factor-α, and interleukin-6 in hemodialysis patients. High ADMA levels are a consequence of endothelial dysfunction and the effects of paricalcitol on ADMA levels have not been reported. Certain drugs such as proton pump inhibitors have been associated with the elevation of asymmetric dimethylarginine levels, whereas other drugs have been associated with a reduction of ADMA levels in several reports, such as certain angiotensin converting enzyme inhibitors and angiotensin receptor blockers,14, 15, 16 metformin, rosiglitazone,17, 18 or rosuvastatin. We report a study designed to evaluate the relationship between levels of ADMA with survival in hemodialysis patients and a cross-sectional analysis to study the association between levels of ADMA and the use of drugs that have demonstrated a reduction of cardiovascular disease in dialysis patients, such as statins, aspirin, angiotensin converting enzyme inhibitors and/or angiotensin receptor blockers, and paricalcitol.

Methods

Study Design, Setting, and Patients

We performed a cross-sectional observational study in patients on chronic hemodialysis to evaluate the association of ADMA with medication as well as a prospective study to evaluate ADMA with mortality. The study was performed in the Hospital Universitario de Gran Canaria Doctor Negrin, Gran Canaria, Spain, between April 2011 and April 2014. Ninety-three patients who underwent chronic hemodialysis treatment (62.4% men and 37.6% women) were randomly selected from a total of 231 patients. All patients were being treated 3 times a week with standard bicarbonate dialysis (Na+ 138 mmol/l, HCO3− 35 nnol/l, K+ 1.5 mmol/l, Ca2+ 1.25 mmol/l, Mg2+ 0.75 mmol/l) with 1.7 or 2.1 polysulfone membrane dialyzers. Patients continued with their usual treatment prescribed for chronic diseases previously diagnosed. They had no changes on medication related to CKD bone mineral disease for 2 months before the serum for determination of ADMA levels was collected. No changes were therefore made of paricalcitol or calcitriol from 2 months before. No patients had treatment with calcitriol or alphacalcidol. There were no significant differences between quartiles attending to cinacalcet or phosphate binders (calcium and non–calcium-based phosphate binders). The protocol adhered to the ethical guidelines of our hospital and this study was evaluated and accepted by the Clinical Research Ethics Committee of the Hospital Universitario de Gran Canaria Doctor Negrin, which meets BPC (CPMP/ICH/135/95) standards and Spanish laws (R.D. 223/2004). All patients enrolled in the study received exhaustive information, and were asked for their participation, signing the corresponding consent. A review of medical records was conducted, as well as computer databases used in the Nephrology Department to collect data, including demographic, anthropometric, physical examination, vital signs, and biochemical data. At 36 months, a review of death records was conducted. Finally, we proceeded to the statistical analysis of the results. The variables analyzed are defined in Tables 1 and 2.
Table 1

Baseline characteristics of patients including totals and quartiles of ADMA levels (μmol/l)

TotalQuartile 1Quartile 2Quartile 3Quartile 4P value
Age (yr)66 (19)65 (20)64 (10)70 (19)74 (19)0.15
Sex (men)Men: 58 (62.4%)15 (62.5)14 (60.9)16 (69.6)13 (56.5)0.86
Dry weight (kg)71.0 ± 13.468.3 ± 13.570.8 ± 11.875.7 ± 12.169.5 ± 69.50.26
BMI (kg/m2)25.7 ± 4.724.1 ± 4.325.7 ± 5.026.9 ± 4.026.2 ± 5.00.19
BMI ≥ 30 kg/m2Yes: 16 (17.2%)2 (8.3)4 (17.4)4 (17.4)6 (26.1)0.475
Time in HD (mo)53.1 (57.9)46 (80)46.7 (44.1)58.2 (61.2)53.9 (54.8)0.48
Central venous catheter15 (16.1%)1 (4.2)4 (17.4)4 (17.4)6 (26.1)0.21
Charlson Comorbidity Index4 (2)3.5 (2)4 (2)5 (2)3.5 (2)0.46
Ethiology of CKDDiabetic nephropathy: 35 (37.6%)10 (41.7)7 (30.4)8 (34.8)10 (43.5)0.82
Nephroangioesclerosis: 6 (6.5%)1 (4.2)0 (0)4 (17.4)1 (4.3)
Polycystic kidney disease: 10 (10.8%)4 (16.7)3 (13)2 (8.7)1 (4.3)
Glomerulonephritis: 13 (14%)3 (12.5)5 (21.7)3 (13)2 (8.7)
Others: 21 (22.6%)5 (20.8)6 (26.1)4 (17.4)6 (26.1)
Unknown: 8 (8.6%)1 (4.2)2 (8.7)2 (8.7)1 (4.3)
DMYes: 42 (45.2%)10 (41.7)11 (47.8)9 (39.1)12 (52.2)0.82
ACEi/ARBs22 (23.7%)9 (37.5)4 (17.4)5 (21.7)4 (17.4)0.348
Paricalcitol37 (39.8%)14 (58.3)11 (47.8)8 (34.8)4 (17.4)0.026
Coronary arterial disease23 (25.3%)5 (20.8)5 (22.7)6 (26.1)7 (31.8)0.87

Data are shown as mean (SD), median (interquartile range), or number of cases (percentage frequency), as appropriate.

ACE, angiotensin converting enzyme; ARB, angiotensin receptor blockers; BMI, body mass index; CKD, chronic kidney disease; DM, diabetes mellitus; HD, hemodialysis.

Table 2

Differences between groups with and without paricalcitol treatment

Total (n = 93)Non–paricalcitol-treated group (n = 56)Paricalcitol-treated group (n = 37)P value
Categorical variables
Sex (men)57 (61.3)34 (59.6%)23 (40.4%)1
Diabetes42 (41.2)31 (73.8%)11 (26.2%)0.019
ARB/ACE inhibitors22 (23.7)13 (59.1%)9 (40.9%)1
Aspirin62 (66.7)40 (64.5%)22 (35.5%)0.27
Statins65 (69.9)39 (60%)26 (40%)1
Blood pressure medication56 (60.2)33 (58.9%)23 (41.1%)0.83
Continuous variables
Age (yr)64.7 ± 13.166.2 ± 13.062.4 ± 13.10.17
BMI (kg/m2)25.7 ± 4.725.6 ± 4.625.9 ± 4.80.78
Duration of dialysis treatment (mo)65.3 ± 43.958 ± 33.474.7 ± 55.20.12
Basal glucose (mg/dl)110.4 ± 65.7111.8 ± 57.5108.4 ± 77.10.82
Cholesterol (mg/dl)143.3 ± 31.6146.4 ± 34.7138.7 ± 26.20.26
Albumin (g/dl)3.8 ± 0.33.8 ± 0.43.8 ± 0.30.45
Ca (mg/dl)9.2 ± 0.69.2 ± 0.59.1 ± 0.70.36
P (mg/dl)5.1 ± 1.45.2 ± 1.64.9 ± 1.10.31
PTHi (pg/ml)445.6 ± 394.8417.2 ± 375.7487.5 ± 423.20.41
PTHi nichols310.8 ± 307.8292.8 ± 293336.3 ± 330.10.52
25 OH vitamin D (ng/dl)16.6 ± 12.514.4 ± 7.919.8 ± 16.80.08
Homocysteine (μmol/l)31.9 ± 22.932 ± 22.231.76 ± 24.30.96
Kt/V Daugirdas1.5 ± 0.41.6 ± 0.41.5 ± 0.40.76

Data are shown as mean (SD), median (interquartile range) or number of cases (percentage frequency), as appropriate.

ACE, angiotensin converting enzyme; ARB, angiotensin receptor blockers; BMI, body mass index; PTH, parathyroid hormone.

Baseline characteristics of patients including totals and quartiles of ADMA levels (μmol/l) Data are shown as mean (SD), median (interquartile range), or number of cases (percentage frequency), as appropriate. ACE, angiotensin converting enzyme; ARB, angiotensin receptor blockers; BMI, body mass index; CKD, chronic kidney disease; DM, diabetes mellitus; HD, hemodialysis. Differences between groups with and without paricalcitol treatment Data are shown as mean (SD), median (interquartile range) or number of cases (percentage frequency), as appropriate. ACE, angiotensin converting enzyme; ARB, angiotensin receptor blockers; BMI, body mass index; PTH, parathyroid hormone.

Laboratory

Samples of peripheral venous blood were obtained, the first dialysis day of the week (Monday or Tuesday), after a minimum fasting period of 8 hours. Blood samples were sent to the reference laboratory for biochemical determinations. The samples for ADMA determination were kept at –80°C until the analysis of ADMA was performed.

Procedures

ADMA levels were determined by high-performance liquid chromatography (HPLC), a method using derivatization with o-phthalaldehyde based on the procedure described by Chu et al., after removal of plasma samples with carboxylic acid solid-phase extraction cartridges. Increasing concentrations of ADMA were spiked into the pooled blank plasma to achieve the concentrations of ADMA. After the addition of internal standard, standards were subjected to solid-phase extraction, derivatization, and chromatography as already mentioned. Because there were endogenous ADMA, symmetric dimethylarginine, and arginine in the blank plasma, the actual peak heights of spiked standards were calculated by subtracting the peak heights of analytes in the blank plasma from the peak heights of analytes in the spiked standards. Calibration curves were constructed by plotting the ratios of the actual peak height of analyte over internal standard versus analyte concentration. For the analysis of plasma samples, a calibration curve was performed in each run. Paricalcitol was administrated in dialysis sessions and by i.v.

Reagents

ADMA, o-phtaldialdehyde, 2-mercaptoethanol, trichloroacetic acid, triethylamine, boric acid, and sodium acetate were purchased from Sigma Chemical Co. (St. Louis, MO). Acetonitrile (HPLC grade), methanol (HPLC grade), potassium hydroxide (KOH), and tetrahydrofuran were from Merck-España (Madrid, Spain).

Equipment

For our study, we used a VARIAN PS230 chromatograph (1644 series) and reverse phase-HPLC.

Statistical Analysis

The sample was described by means of frequencies and percentages for qualitative variables and mean ± SD or median (interquartile range [IQR] = Q3–Q1) for quantitative variables, depending on the setting of the variables to the normal distribution. Survival was evaluated using Cox regression analysis using ADMA variable raw and adjusted for other variables, including age variable dependent on time. No variable selection algorithm was used. The Kaplan-Meier method was applied to evaluate the survival comparing the group consisting of the upper quartile of ADMA (P > 75, Q4) against the rest. The curves were compared with the log-rank test. Death probability at the end of the study using a logistic regression model was calculated. Time to event was considered from the moment of ADMA determination until event (death) or end of the study. No patients were lost to follow-up. To evaluate the association between paricalcitol with categorical variables, the Fisher exact test was used. The relationship between ADMA and other variables was explored by comparing ADMA means by analysis of variance (for more than 2 groups), the t test, or the Mann-Whitney U test (for 2 variables, according to the distribution). In the t test, the Welch correction was performed when the Levene homogeneity test of variance was significant. Multiple linear regression was also performed to analyze ADMA with other variables to study effect measure modifiers and confounders. Likewise a robust regression method (bootstrapping) was performed to compare with the multiple linear regression analysis. To evaluate the association of ADMA with continuous quantitative variables, scatter plot diagrams were done and Pearson correlation coefficient was performed when there was linearity in the relationship. Finally, ADMA was categorized as quartiles, comparing the upper quartile with the highest concentration of ADMA to the rest. The significance level was established at α = 0.05. The statistical program used was R Core Team (2014).

Results

Ninety-three patients who underwent chronic hemodialysis treatment (62.4% male) were randomly selected from a total of 231 patients, and had an average age of 64.7 ± 13.1 years. Of them, 45.2% were diabetic, and diabetic nephropathy was the most frequent cause of ESRD (37.6%). The median time in dialysis treatment was 53.1 months (IQR = 57.9). The baseline characteristics and frequency of medications are shown in Table 1. Plasma ADMA concentrations were measured, showing a median concentration of 0.2 μmol/l (IQR = 0.48). Patients treated with paricalcitol had significantly lower ADMA levels (0.21 ± 0.19 μmol/l vs. 0.42 ± 0.35 μmol/l; P = 0.00027), as shown in Figure 1.
Figure 1

The difference between ADMA levels (μmol/l) in patients treated with paricalcitol compared with those who did not receive paricalcitol. ADMA, asymmetric dimethylarginine.

The difference between ADMA levels (μmol/l) in patients treated with paricalcitol compared with those who did not receive paricalcitol. ADMA, asymmetric dimethylarginine. Patients were also divided into 4 quartiles according to ADMA levels. The patients in the highest ADMA concentration quartile were compared with those in the other 3 quartiles (median of 0.64 μmol/l, IQR = 0.06 vs. median of 0.18 μmol/l, IQR = 0.18). We compared the number of patients in the highest quartile (Q4) and the treatment patients received, noting that those who received paricalcitol were significantly less likely to be in the very high level ADMA group (P = 0.014). We did not observe statistical differences between ADMA levels and the use of angiotensin receptor blocker/angiotensin converting enzyme inhibitors (P = 0.15), statins (P = 0.25), or aspirin (P = 0.93). The distribution of patients treated with paricalcitol with lower levels of plasma ADMA compared with those not treated with paricalcitol who had higher levels is represented in Figure 2.
Figure 2

Quartile 1 shows that more patients were treated with paricalcitol and therefore they have lower levels of ADMA (μmol/l). Patients with higher levels of ADMA were less likely to receive treatment with paricalcitol (P = 0.014). ADMA, asymmetric dimethylarginine.

Quartile 1 shows that more patients were treated with paricalcitol and therefore they have lower levels of ADMA (μmol/l). Patients with higher levels of ADMA were less likely to receive treatment with paricalcitol (P = 0.014). ADMA, asymmetric dimethylarginine. The clinical and laboratory characteristics of patients who were treated with paricalcitol (n = 37) and patients who were not treated with paricalcitol (n = 56) are shown in Table 2. There were no significant differences in age, sex, treatment with angiotensin receptor blockers/angiotensin converting enzyme inhibitors, aspirin or statins, body mass index, time on dialysis, cholesterol, albumin, serum calcium, phosphate, parathyroid hormone (PTH), or vitamin D levels between patients who were or were not on paricalcitol at the time that the ADMA levels were obtained. Patients on paricalcitol had a lower prevalence of diabetes than those not on this medication (29.7% vs. 55.3%; P = 0.019). ADMA levels were higher among diabetics (0.38 ± 0.41 μmol/l) compared with nondiabetics (0.31 ± 0.25 μmol/l), but this was not statistically significant. However, in the diabetic patients subgroup, those who received paricalcitol had lower ADMA levels compared with those who did not receive paricalcitol with statistical differences (P = 0.0342). In the nondiabetic patients subgroup also, it was confirmed that those treated with paricalcitol had lower ADMA levels than those not treated with paricalcitol with a significant difference (P = 0.0157), as shown in Figure 3.
Figure 3

ADMA (μmol/l) levels of patients treated with paricalcitol and those not treated with paricalcitol in the nondiabetic and diabetic subgroups. ADMA, asymmetric dimethylarginine.

ADMA (μmol/l) levels of patients treated with paricalcitol and those not treated with paricalcitol in the nondiabetic and diabetic subgroups. ADMA, asymmetric dimethylarginine. In addition, there was an inverse correlation between the weekly dose of paricalcitol and ADMA levels with a Pearson’s and Spearman’s correlation coefficient between paricalcitol and ADMA of –0.36 (P = 0.013; Figure 4) and –0.46 (P = 0.001), respectively. In the multivariable analysis, paricalcitol, age, and serum PTH levels were associated with ADMA levels; paricalcitol tended to show a significant association (Table 3).
Figure 4

Inverse correlation between paricalcitol dose (mcg per week) and serum ADMA levels (r = –0.36, P = 0.013). ADMA, asymmetric dimethylarginine.

Table 3

Factors associated with ADMA levels: multivariate regression analysis using ADMA levels as a dependent variable

Independent variablesβ-coefficientSEBeta (standardized)95% CIP value
Age (yr)5.812.260.251.32, 10.310.012
Paricalcitol: yes–183.5260.56–0.3–303.93, –63.110.003
PTHi (ng/l)0.160.070.210.01, 0.310.034

ADMA, asymmetric dimethylarginine; CI, confidence interval; PTH, parathyroid hormone.

Inverse correlation between paricalcitol dose (mcg per week) and serum ADMA levels (r = –0.36, P = 0.013). ADMA, asymmetric dimethylarginine. Factors associated with ADMA levels: multivariate regression analysis using ADMA levels as a dependent variable ADMA, asymmetric dimethylarginine; CI, confidence interval; PTH, parathyroid hormone. At 36 months’ follow-up, we observed an all-cause mortality of 30.1% with 28 deaths, 15 of which were due to cardiovascular events. In a model that only includes ADMA (as a continuous variable) as a predictor of mortality, its value is significant (P = 0.0033), but when other variables (age, sex, hypertension, and diabetes mellitus) are included in the model, ADMA looses significance as a mortality predictor (see Supplementary Figures S1–S3). We did not find the association between ADMA levels and cardiovascular cause mortality.

Discussion

Hemodialysis patients on paricalcitol treatment had lower plasma ADMA levels according to our study. ADMA is significantly increased in ESRD. Our study shows that dialysis patients treated with paricalcitol had significantly lower ADMA concentrations than those not treated with paricalcitol. ADMA, an endogenous methylated arginine analog, results from protein turnover, and its metabolism is facilitated by dimethylarginine dimethylaminohydrolase-1 and -2 isoforms. ADMA inhibits nitric oxide synthases, which may in part explain the impaired vasorelaxation, elevated inflammation, and reduced angiogenesis reported in patients and animal models of CKD. Zoccali et al. identified the plasma concentrations of ADMA as a predictor of mortality and cardiovascular disease in patients with chronic renal failure. On the other hand, data related to different medications that modify levels of ADMA have been reported.13, 14, 19, 22, 23, 24 Our study is the first, to our knowledge, to establish a link between ADMA and paricalcitol in hemodialysis patients. Paricalcitol (19-nor-1,25-dihydroxyvitamin D2), a vitamin D analog with less hypercalcemic effect than calcitriol, may provide a survival benefit for patients with CKD, which is independent of the calcium and parathyroid hormone.26, 27 Paricalcitol could have a survival advantage in dialysis patients, possibly due to its ability to suppress PTH levels with less severe increments in serum calcium and phosphate. Although paricalcitol reduces circulating bone turnover markers and PTH levels, the potential mechanism by which paricalcitol exerts its beneficial effect is not yet fully clarified. Recent studies report that this mechanism seems unrelated to fibroblast growth factor-23, as paricalcitol therapy increases the levels of fibroblast growth factor-23. Paricalcitol has demonstrated effects on endothelial function and suppressing inflammation decreasing levels of high-sensitivity C-reactive protein, tumor necrosis factor-α, and interleukin-6 in hemodialysis patients, but the effects of paricalcitol on ADMA require future studies. Although our study was designed as a prospective study, confirming, like in other studies, that in our cohort ADMA levels predict overall mortality,9, 30, 31, 32, 33, 34, 35, 36 we mainly present cross-sectional results that we report as the main limitation. To conclude, we found that in hemodialysis patients, those treated with paricalcitol had lower levels of plasma ADMA concentrations. Future studies are needed to evaluate the relationship between ADMA and paricalcitol in ESRD and other stages of CKD. The effects paricalcitol can have on ADMA levels and the underlying endothelial function mechanisms still need to be studied.

Disclosure

JCR-P received honoraria from Abbvie. All the other authors declared no competing interests.
  35 in total

1.  Risk of acute coronary events and serum concentration of asymmetrical dimethylarginine.

Authors:  V P Valkonen; H Päivä; J T Salonen; T A Lakka; T Lehtimäki; J Laakso; R Laaksonen
Journal:  Lancet       Date:  2001 Dec 22-29       Impact factor: 79.321

Review 2.  Cardiovascular disease in chronic kidney failure: is there a role for vitamin D analogs?

Authors:  J Ruth Wu-Wong; Masaki Nakane; Linda Traylor; Xiaoan Ruan; Paul E Kroeger; Jin Tian
Journal:  Curr Opin Investig Drugs       Date:  2005-03

3.  Concentration of dimethyl-L-arginine in the plasma of patients with end-stage renal failure.

Authors:  R J MacAllister; M H Rambausek; P Vallance; D Williams; K H Hoffmann; E Ritz
Journal:  Nephrol Dial Transplant       Date:  1996-12       Impact factor: 5.992

4.  Paricalcitol and endothelial function in chronic kidney disease trial.

Authors:  Carmine Zoccali; Giuseppe Curatola; Vincenzo Panuccio; Rocco Tripepi; Patrizia Pizzini; Marica Versace; Davide Bolignano; Sebastiano Cutrupi; Raffaele Politi; Giovanni Tripepi; Lorenzo Ghiadoni; Ravi Thadhani; Francesca Mallamaci
Journal:  Hypertension       Date:  2014-08-04       Impact factor: 10.190

5.  Plasma concentration of asymmetrical dimethylarginine and mortality in patients with end-stage renal disease: a prospective study.

Authors:  C Zoccali; S Bode-Böger; F Mallamaci; F Benedetto; G Tripepi; L Malatino; A Cataliotti; I Bellanuova; I Fermo; J Frölich; R Böger
Journal:  Lancet       Date:  2001 Dec 22-29       Impact factor: 79.321

6.  Unexpected effect of proton pump inhibitors: elevation of the cardiovascular risk factor asymmetric dimethylarginine.

Authors:  Yohannes T Ghebremariam; Paea LePendu; Jerry C Lee; Daniel A Erlanson; Anna Slaviero; Nigam H Shah; James Leiper; John P Cooke
Journal:  Circulation       Date:  2013-07-03       Impact factor: 29.690

Review 7.  Vitamin D analogs: novel therapeutic agents for cardiovascular disease?

Authors:  Glenn A Reinhart
Journal:  Curr Opin Investig Drugs       Date:  2004-09

8.  Asymmetrical dimethylarginine predicts progression to dialysis and death in patients with chronic kidney disease: a competing risks modeling approach.

Authors:  Pietro Ravani; Giovanni Tripepi; Fabio Malberti; Sophie Testa; Francesca Mallamaci; Carmine Zoccali
Journal:  J Am Soc Nephrol       Date:  2005-06-08       Impact factor: 10.121

9.  The Role of Asymmetric Dimethylarginine (ADMA) in Endothelial Dysfunction and Cardiovascular Disease.

Authors:  Latika Sibal; Sharad C Agarwal; Philip D Home; Rainer H Boger
Journal:  Curr Cardiol Rev       Date:  2010-05

10.  Methylarginines and mortality in patients with end stage renal disease: a prospective cohort study.

Authors:  Filippo Aucella; Renke Maas; Mimmo Vigilante; Giovanni Tripepi; Edzard Schwedhelm; Maurizio Margaglione; Loreto Gesualdo; Rainer Boeger; Carmine Zoccali
Journal:  Atherosclerosis       Date:  2009-05-21       Impact factor: 5.162

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