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Article

Asymmetric and Symmetric Protein Arginine Dimethylation: Concept and Postprandial Effects of High-Fat Protein Meals in Healthy Overweight Men

by
Alexander Bollenbach
1,
Jean-François Huneau
2,
François Mariotti
2,† and
Dimitrios Tsikas
1,*,†
1
Institute of Toxicology, Core Unit Proteomics, Hannover Medical School, 30623 Hannover, Germany
2
UMR PNCA, AgroParisTech, INRA, Université Paris-Saclay, 75005 Paris, France
*
Author to whom correspondence should be addressed.
†
The two authors contributed equally to the manuscript.
Nutrients 2019, 11(7), 1463; https://doi.org/10.3390/nu11071463
Submission received: 20 May 2019 / Revised: 17 June 2019 / Accepted: 24 June 2019 / Published: 27 June 2019
(This article belongs to the Special Issue The Effect of Diet and Nutrition on Postprandial Metabolism)
Browse Figure
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Abstract

:
Asymmetric and symmetric dimethylarginine (ADMA and SDMA, respectively) are risk factors for the cardiovascular and renal systems. There is a paucity of data in humans regarding variations of protein L-arginine (Arg) methylation leading to ADMA and SDMA. In this study, we introduced and used Arg dimethylation indices based on the creatinine-corrected urinary excretion of SDMA and ADMA, and its major metabolite dimethylamine (DMA). The main objective of the present study was to assess whether, and to which extent, a high-fat protein meal (HFM), a classical allostatic load eliciting various adverse effects, may contribute to Arg dimethylation in proteins in humans. Reliable gas chromatography–mass spectrometry methods were used to measure the concentration of ADMA, DMA, SDMA, and creatinine in spot urine samples collected before (0 h), and after (2, 4, 6 h) three HFM sessions in 10 healthy overweight individuals. At baseline, urinary ADMA, DMA, and SDMA excretion correlated positively with circulating TNF-α and IL-6. Arg dimethylation indices did not change postprandially. Our study shows that three HFMs do not contribute to Arg dimethylation in proteins. The proposed indices should be useful to determine extent and status of the whole-body Arg dimethylation in proteins in humans under various conditions.
Keywords:
ADMA; arginine; SDMA; DMA; PRMT

1. Introduction

L-Arginine (Arg) is a nutritionally semi-essential proteinogenic amino acid. It is involved in many pathways and numerous physiological processes [1,2]. Arg is the substrate of all known nitric oxide synthase (NOS; EC 1.14.13.39) isoforms, which are present in virtually all cell types and oxidize the guanidine (NG) imine group of free Arg to nitric oxide (NO) via an NG-hydroxy-L-arginine intermediate. NO is one of the most potent endogenous vasodilators and inhibitors of platelet aggregation, and has many other biological functions [3]. The NOS-catalyzed conversion of Arg to NO and L-citrulline (Cit) is inhibited by three endogenous Arg derivates: L-NG-monomethylarginine (MMA), L-NG,NG-dimethylarginine (asymmetric dimethylarginine, ADMA), and L-NG,N’G-dimethylarginine (symmetric dimethylarginine, SDMA) [4,5] (Figure 1). MMA, ADMA, and SDMA inhibit the activity of the three NOS isoforms by distinctly different mechanisms and inhibitory potency [6,7]. Like their parent molecule Arg, MMA, ADMA, and SDMA exist in two forms: as residues of certain proteins, and as free acids produced by regular proteolysis of those NG-methylated proteins. The free guanidine group of Arg moieties in proteins undergo posttranslational methylation, which is catalyzed by the family of the protein arginine methyltransferases (PRMT; EC 2.1.1.125) [8,9,10]; the methyl group for this reaction is provided by the universal cofactor S-adenosylmethionine (SAM) (Figure 1).
High circulating ADMA and SDMA concentrations are considered risk factors in the renal and cardiovascular systems [11,12,13,14,15,16]. In these systems, ADMA is thought to exert its detrimental effects by inhibiting NOS activity in the endothelium. Yet, there is an increasing indication that free and/or proteinic ADMA and SDMA exert NO-independent biological effects that have not yet been fully elucidated [6,7]. As an example, mass proteomic studies identified mono- and dimethylated Arg residues in the cardiac sodium channel, suggesting a potential role of proteinic Arg methylation in the regulation of the cardiac voltage-gated Na+ channel, presumably via mutual Arg methylation–phosphorylation crosstalk [17,18,19]. It has also been discussed that methylation of arginine residues in proteins are essential for proper regeneration of skeletal muscles, presumably by regulating muscle stem cell function [9].
A major fraction (about 90%) of endogenously produced ADMA is hydrolyzed to dimethylamine (DMA) by dimethylarginine dimethylaminohydrolase (DDAH; EC 3.5.3.18); only a minor fraction of about 10% of the daily produced ADMA is excreted, unchanged, in the urine [4,20]. Unlike MMA and ADMA, SDMA is not hydrolyzed by DDAH and is excreted almost unchanged in the urine [21]. The urinary concentrations of ADMA, DMA, and SDMA can be considered markers of whole-body asymmetric (ADMA + DMA), symmetric (SDMA), and total (ADMA + DMA + SDMA) dimethylation of Arg residues in proteins. Therefore, this could be a practical way to assess whole-body Arg dimethylation, and its variations in vivo. Previously, we and others have used Arg methylation indices for symmetric [22] and asymmetric Arg dimethylation, including the DMA/ADMA molar ratio in urine of healthy and diseased children and adults [23,24]. In the present work, we further build on the rationale of indices for assessing protein Arg dimethylation by defining and using the following terms: aPADiMeX for asymmetric dimethylation; sPADiMeX for symmetric dimethylation; toPADiMeX (ADMA + DMA + SDMA) for total Arg dimethylation; and a/sPADiMeX for the molar ratio of asymmetric-to-symmetric Arg dimethylation, i.e., (ADMA + DMA)/SDMA (Figure 1). In 24 h-collected urine samples, the amounts excreted within a day can be used in these terms. In urine samples collected by spontaneous micturition, the creatinine-corrected concentrations of ADMA, DMA, and SDMA are considered.
MMA, SDMA, ADMA, and DMA are natural compounds, and the ingestion of vegetable and meaty food may contribute to endogenously produced SDMA, ADMA, and most notably to DMA [25,26,27]. Application of the above described protein Arg dimethylation concept in health and disease requires taking proper measures to minimize exogenous contributors to urinary SDMA, ADMA, and DMA. Previously, we found that dietary fat ingestion increased the plasma concentration of ADMA marginally (by 6%) in lean and obese healthy subjects [28]. In 10 overweight men, we previously found that high-fat protein meals (HFMs) acutely increased plasma ADMA concentrations [29]. Yet, in those studies, we did not measure ADMA, DMA, and SDMA in urine samples.
The aim of the present study was to apply the above proposed indices of Arg methylation to a human study, and to test the hypothesis that dimethylarginine methylation in proteins would increase after a HFM. We measured, by fully validated and previously reported gas chromatography–mass spectrometry (GC–MS) methods, the concentration of ADMA, DMA, SDMA, and creatinine in spot urine samples collected in previous study [30] before, during, and after HFM meals consumed on three occasions by the 10 healthy overweight volunteers.

2. Materials and Methods

2.1. Ingestion of High-Fat Protein Meals by Healthy Overweight Men

The urine samples analyzed in the present study had been collected in a previous study, reported by us in detail [30]. The study was conducted in accordance with the Declaration of Helsinki, approved by the Ethics Committee of Saint-Germain-en-Laye Hospital (Reference #08001), and authorized by the French Ministry for Health (Reference 2007-A01296-47). All participants gave their written informed consent prior to enrolment. The study recruited eleven healthy overweight (body max index (BMI)> 25 kg/m²) men aged 21–50 years, with enlarged waist circumference (>94 cm), and without any established illnesses. This sample size was set taking into account 10% attrition, and considering that 10 individuals were necessary to detect medium effect size (Cohen’s d = 0.5) of the treatment on the primary outcome of the clinical trial (postprandial endothelial dysfunction). Volunteers had no regular use of medication or nutritional supplements, were not heavy smokers or alcohol drinkers, and had no moderate/high level of physical activity. They had blood hemoglobin >130 g/L, and no hypertension. The volunteers had the following characteristics: age, 34 ± 9 years; height, 178 ± 3 cm; weight, 96 ± 6 kg; BMI, 30.2 ± 1.5; body fat, 24.3 ± 2.0%; waist circumference, 96 ± 3 cm. Three HFMs of the same nutritional composition, but differing in the protein source, were tested in a randomized crossover design. Each period consisted of a postprandial study separated by at least two weeks. The test meals consisted of a mixture of 233 g cream containing 40% fat, 45 g sucrose, 45 g protein as protein isolates, and 160 mL water. The composition of the meals was as follows: energy, 1200 kcal; fat, 93 g (70% energy); carbohydrates, 45 g (15% energy); crude protein, 45 g (15% energy). After the overnight fasting (9–12 h), the subjects ingested the meal, and spot urine samples were collected before the meal (0 h, T0) and 2 h (T2), 4 h (T4), and 6 h (T6) after the meal. One subject chose to withdraw from the study during the first session because he felt nauseated after the meal. The urine samples collected during the meal were also analyzed and considered in statistics.

2.2. Measurement of Urinary ADMA, DMA, SDMA, Creatinine, and Quality Control

Creatinine, ADMA, DMA, and SDMA were measured by previously reported fully validated methods based on gas chromatography–mass spectrometry (GC–MS) methods [22,24,31,32]. Urine donated by a healthy volunteer served as a quality control (QC) sample, and was analyzed alongside the study samples within 8 runs. The following analyte concentrations were measured in the QC samples (mean ± SD): 10.7 ± 0.02 mmol/L (RSD, 2%) for creatinine, 21.3 ± 0.4 µmol/L (RSD, 2.0%) for ADMA, 36.2 ± 1.27 µmol/L (RSD, 2%) for SDMA, and 243 ± 18 µmol/L (RSD, 7.4%) for DMA. These results underline the reliability of the GC–MS methods in the measurements of the study samples.

2.3. Measurement of Inflammation and Cardiovascular Biomarkers

The biochemical parameters apolipoprotein B 48 (apoB48), monocytes chemoattractant protein-1 (MCP-1), myeloperoxidase (MPO), non-esterified fatty acids (NEFA), reflexion index (RI), soluble intracellular adhesion molecule-1 (sICAM-1), soluble vascular cell adhesion molecule-1 (sVCAM-1), triacylglyceride (TAG), tumor necrosis factor-alpha (TNF-α), tissue plasminogen activator inhibitor-1 (tPAI-1), and the physiological parameters reflexion index (RI) from pulse wave analysis were measured as described elsewhere [30].

2.4. Statistical Analyses

Statistical analyses were performed, and graphs were constructed using Origin 7.5G, GraphPad Prism 7 (GraphPad Prism Software Inc. San Diego, CA, USA). Distribution of variables was tested by D’Agostino and Pearson omnibus K2 test. Normally distributed parameters are presented as mean ± SD or mean ± SEM. Non-normally distributed parameters are presented as median and interquartile range (25th–75th percentile). Correlations between variables were assessed by Pearson (parametric) or Spearman (non-parametric) statistical tests. Repeated measures one-way ANOVA with Tukey’s multiple comparisons test was used to test the effect of postprandial time on the urinary parameters. p-values < 0.05 were considered as statistically significant.

3. Results

Considering all volunteers, meals, and time points (n = 124 values), the urinary analyte concentrations were 40.2 (22–57) µmol/L for ADMA, 55.2 (31–76) µmol/L for SDMA, 348 (180–536) µmol/L for DMA, and 11.9 (6.7–19.6) mmol/L for creatinine. The creatinine-corrected excretion rates (µmol/mmol) were 3.39 (2.50–4.15) for ADMA, 4.48 (3.33–5.78) for SDMA, and 29 (21.7–37.0) for DMA. The other values were 32.8 (24.6–41.1) µmol/mmol for aPADiMeX, 37.9 (28.5–47.0) µmol/mmol for toPADiMeX, and 7.26 (6.27–8.20) for a/sPADiMeX. The concentrations of ADMA, SDMA, DMA, and creatinine correlated strongly with each other (Table 1a). The creatinine-corrected concentrations of ADMA, SDMA, and DMA also correlated with each other (Table 1b).
At baseline, many of the plasma clinical chemistry biochemical parameters correlated moderately-to-strongly with each other (Table 2). All of the found statistically significant correlations were positive, except for NEFA and tPAI-1. The strongest correlation was observed between IL-6 and TNF-α (r = 0.847, p < 0.0001).
The correlations found between plasma clinical chemistry biochemical parameters and the creatinine-uncorrected urinary concentrations of ADMA, SDMA, DMA, and toPADiMeX at baseline are summarized in Table 3. These parameters correlated with TNF-α and IL-6, with SDMA showing the strongest correlation. The BMI value of the volunteers (range 26.9–33.4 kg/m2) was found to correlate with insulin, sICAM-1, sVCAM-1, and E-selectin (Table 3). At baseline, the urinary concentrations (µmol/L) of ADMA, SDMA, DMA, and toPADiMeX, or with a/sPADiMeX, did not correlate with the BMI values. The creatinine-corrected excretion rates of DMA (r = −0.354, p = 0.051) and toPADiMeX (r = −0.324, p = 0.076) only tended to correlate with the BMI (not shown in Table 3).
We did not observe any postprandial changes in the indices for the individual HFM (data not shown), and so the dataset of the 3 individual meals (n = 10) were collapsed to a single dataset (n = 30). The urinary creatinine concentration, the creatinine-corrected excretion of ADMA, DMA, and SDMA, and their indices aPADiMeX, toPADiMeX, and a/sPADiMeX are summarized in Table 4 for all three meals. Statistically significant overall time effects (ANOVA) were obtained for creatinine (p = 0.0021) and DMA (p = 0.019). Statistically significant time effects were obtained for creatinine (T0 vs. T4, p = 0.0007; T4 vs. T6 p = 0.0011), ADMA (T2 vs. T6, p = 0.0006), DMA (T0 vs. T4, p = 0.0027), SDMA (T4 vs. T6, p = 0.0499), and aPADiMeX (T0 vs. T4, p = 0.0290).

4. Discussion

In blood and urine, MMA is present at much lower concentrations than ADMA and SDMA. For instance, in healthy humans, the mean creatinine-corrected excretion rate of MMA was reported to be 0.017 µmol/mmol, and the ratio of the mean clearance rates of MMA, ADMA, and SDMA were reported to be 1:69:71 [33]. This may be an indicator that MMA, the first PRMT-catalyzed product of Arg-methylation in proteins, is immediately methylated to form ADMA and SDMA proteins. Other ADMA and SDMA metabolites from Nα-acetylation and Nα-oxidation pathways occur in urine, yet at much lower concentrations than ADMA and SDMA, such as 0.013 µmol/mmol creatinine, and in the range 0.011–1.03 µmol/mmol creatinine for the ADMA metabolites, respectively [34,35]. Consequently, the urinary concentrations of ADMA, DMA, and SDMA are useful for the determination of the whole-body NG-dimethylation of Arg residues in proteins.
In the present work, we propose the use of the Protein Arginine Dimethylation indeX: aPADiMeX for asymmetric, sPADiMeX for symmetric, toPADiMeX for total dimethylation, and a/sPADiMeX for the asymmetric-to-symmetric (a/s) dimethylation state (Figure 1). We applied this proposal to (1) investigate potential postprandial effects of HFMs on protein Arg dimethylation; and (2) to test potential correlations of the indices with clinical chemistry laboratory biomarkers of inflammation and vascular functions, such as IL-6 and TNF-α.
The ADMA/SDMA molar ratio in our study is close to 1, and is almost identical with that reported for healthy subjects [33]. However, this ratio does not mean that asymmetric and symmetric protein Arg dimethylation rates are equal. This is because ADMA is metabolized to DMA, of which the excretion is about 10 times higher than non-metabolized ADMA in healthy adults [24,33].
The creatinine-corrected excretion rates of the ADMA, DMA, and SDMA measured in the present study at baseline, are within ranges reported by us and others for healthy and diseased adults [24,33]. In our healthy overweight men, the average baseline creatinine-corrected urinary excretion rates (µmol/mmol) were 3.59 for ADMA, 4.48 for SDMA, and 26.9 for DMA. The baseline indices were calculated to be 30 µmol/mmol for aPADiMeX, 37.1 µmol/mmol for toPADiMeX, and 6.7 for a/sPADiMeX. These data indicate that DMA is the strongest quantitative contributor to the proposed indices. The whole-body asymmetric dimethylation of proteinic Arg is about 7 times higher than the symmetric in the healthy overweight men of the present study.
In urine samples from 14 healthy non-overweight men (age, 41 ± 11 years; range, 26–60 years; BMI, 23.9 ± 3.3 kg/m2) from previous work [32], we measured creatinine-corrected excretion rates of 29.6 ± 3.9 µmol/mmol DMA, 2.74 ± 0.51 µmol/mmol ADMA, and 2.99 ± 0.44 µmol/mmol SDMA. The Arg dimethylation indices were calculated to be 35.0 ± 5.2 µmol/mmol for aPADiMeX, 38.0 ± 5.5 µmol/mmol for toPADiMeX, and 11.8 ± 1.6 for a/sPADiMeX. In urine samples from 5 healthy non-overweight women (age, 42 ± 10 years; range, 28–56 years; BMI, 26.9 ± 7.8 kg/m2) from the same study [32], we measured creatinine-corrected excretion rates of 42.5 ± 5.8 µmol/mmol DMA, 4.2 ± 1.2 µmol/mmol ADMA, and 3.91 ± 0.6 µmol/mmol SDMA. The Arg dimethylation indices were calculated to be 46.7 ± 6.6 µmol/mmol for aPADiMeX, 50.6 ± 7.2 µmol/mmol for toPADiMeX, and 10.8 ± 0.8 for a/sPADiMeX. Statistically significant differences between men and women were found for DMA (p = 0.01), ADMA (p = 0.003), SDMA (p = 0.022), aPADiMeX (p = 0.007), and toPADiMeX (p = 0.0046), but not for a/sPADiMeX (p = 0.95), suggesting potential effects of gender on whole-body asymmetric and symmetric proteinic Arg dimethylation, yet not on their balance.
In previous studies, we found that HFM taken by the same healthy overweight men is associated with considerable postprandial changes in many circulating biochemical biomarkers, including Arg, L-homoarginine (hArg), and ADMA [29,30,36]. The present study indicates that HFM has no appreciable postprandial effects on total asymmetric and symmetric protein arginine dimethylation (toPADiMeX), and asymmetric-to-symmetric protein arginine dimethylation (a/sPADiMeX). However, we found some significant temporary changes on ADMA (decrease, between T2 and T6), DMA, SDMA, and aPADiMeX (increases, all between T0 and T4). At baseline, circulating TNF-α and IL-6 correlated with urinary creatinine-corrected SDMA excretion. Previously, we found no statistically significant changes in circulating TNF-α and IL-6 upon meal ingestion [30], suggesting that these factors may not be responsible for the observed changes in SDMA excretion. The results of the present study may suggest that the HFM themselves did not contain appreciable amounts of ADMA, DMA, and SDMA (not investigated), and did not exert appreciable effects on dimethylation of proteinic Arg. As creatinine excretion changed relatively strongly, an effect on the glomerular filtration rate (GFR) of the kidney on the excretion rates of ADMA, DMA, and SDMA cannot be excluded. In renal transplant recipients (median estimated GFR of 43.5 mL/min/1.73 m2), the mean ADMA-to-SDMA molar ratio was found to be only 0.6 [37].
The non-invasive measurement of ADMA, DMA, and SDMA in human urine provides a relevant approach to estimate the extent of proteinic Arg dimethylation and the relative contribution of the asymmetric and symmetric dimethylation, which can be translated into the individual PRMTs. The proposed indices may provide valuable information of the status of protein arginine dimethylation in health and disease. In healthy overweight men, HFM ingestion caused temporary changes in creatinine excretion, and creatinine-corrected excretion rates of ADMA, DMA, and SDMA. However, these changes do not indicate changes in the total protein arginine dimethylation, and the balance between asymmetric and symmetric protein arginine dimethylation. Of note, asymmetric dimethylation tended to increase after HFMs.
A limitation of our study is the small number of participants. Strengths of the study are the closely controlled, repeated postprandial testing on the same volunteers, controlled meal composition, and validated methods for measuring arginine metabolites in urine. Urinary DMA is by far the greatest term of the indices proposed in this work. Further studies on larger cohorts are warranted to assess potential differences in methylation profiles of proteinic arginine in various conditions in health and disease, and to assess the effects of gender and age. In studies addressing the in vivo protein arginine dimethylation in non-closely controlled studies, subjects must abstain from ingestion of DMA-rich food, notably fish [24,25,26,27].

Author Contributions

All authors have contributed to the manuscript and have approved this final version of the work.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Wu, G.; Bazer, F.W.; Davis, T.A.; Kim, S.W.; Li, P.; Marc Rhoads, J.; Carey Satterfield, M.; Smith, S.B.; Spencer, T.E.; Yin, Y. Arginine metabolism and nutrition in growth, health and disease. Amino Acids 2009, 37, 153–168. [Google Scholar] [CrossRef] [PubMed]
  2. Wu, G. Functional amino acids in nutrition and health. Amino Acids 2013, 45, 407–411. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Moncada, S.; Higgs, A. The L-arginine-nitric oxide pathway. N. Engl. J. Med. 1993, 329, 2002–2012. [Google Scholar] [CrossRef] [PubMed]
  4. Leiper, J.; Vallance, P. Biological significance of endogenous methylarginines that inhibit nitric oxide synthases. Cardiovasc. Res. 1999, 43, 542–548. [Google Scholar] [CrossRef]
  5. Tsikas, D.; Böger, R.H.; Sandmann, J.; Bode-Böger, S.M.; Frölich, J.C. Endogenous nitric oxide synthase inhibitors are responsible for the L-arginine paradox. FEBS Lett. 2000, 478, 1–3. [Google Scholar] [CrossRef]
  6. Tsikas, D. Does the inhibitory action of asymmetric dimethylarginine (ADMA) on the endothelial nitric oxide synthase activity explain its importance in the cardiovascular system? The ADMA paradox. J. Controversies Biomed. Res. 2017, 3, 16–22. [Google Scholar] [CrossRef]
  7. Tsikas, D.; Bollenbach, A.; Hanff, E.; Kayacelebi, A.A. Asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA) and homoarginine (hArg): The ADMA, SDMA and hArg paradoxes. Cardiovasc. Diabetol. 2018, 17, 1. [Google Scholar] [CrossRef]
  8. Blanc, R.S.; Richard, S. Arginine Methylation: The Coming of Age. Mol. Cell 2017, 65, 8–24. [Google Scholar] [CrossRef] [Green Version]
  9. Blanc, R.S.; Richard, S. Regenerating muscle with arginine methylation. Transcription 2017, 8, 175–178. [Google Scholar] [CrossRef]
  10. Peng, C.; Wong, C.C. The story of protein arginine methylation: Characterization, regulation, and function. Expert Rev. Proteomics 2017, 14, 157–170. [Google Scholar] [CrossRef]
  11. Zoccali, C.; Bode-Böger, S.; Mallamaci, F.; Benedetto, F.; Tripepi, G.; Malatino, L.; Cataliotti, A.; Bellanuova, I.; Fermo, I.; Frölich, J.; et al. Plasma concentration of asymmetrical dimethylarginine and mortality in patients with end-stage renal disease: A prospective study. Lancet 2001, 358, 2113–2117. [Google Scholar] [CrossRef]
  12. Zoccali, C.; Benedetto, F.A.; Maas, R.; Mallamaci, F.; Tripepi, G.; Malatino, L.S.; Böger, R. Asymmetric dimethylarginine, C-reactive protein, and carotid intima-media thickness in end-stage renal disease. JASN 2002, 13, 490–496. [Google Scholar] [PubMed]
  13. Frenay, A.R.; van den Berg, E.; de Borst, M.H.; Beckmann, B.; Tsikas, D.; Feelisch, M.; Navis, G.; Bakker, S.J.; van Goor, H. Plasma ADMA associates with all-cause mortality in renal transplant recipients. Amino Acids 2015, 47, 1941–1949. [Google Scholar] [CrossRef] [PubMed]
  14. Schlesinger, S.; Sonntag, S.R.; Lieb, W.; Maas, R. Asymmetric and symmetric dimethylarginine as risk markers for total mortality and cardiovascular outcomes: A systematic review and meta-analysis of prospective studies. PLoS ONE 2016, 11, e0165811. [Google Scholar] [CrossRef] [PubMed]
  15. Emrich, I.E.; Zawada, A.M.; Martens-Lobenhoffer, J.; Fliser, D.; Wagenpfeil, S.; Heine, G.H.; Bode-Böger, S.M. Symmetric dimethylarginine (SDMA) outperforms asymmetric dimethylarginine (ADMA) and other methylarginines as predictor of renal and cardiovascular outcome in non-dialysis chronic kidney disease. Clin. Res. Cardiol. 2018, 107, 201–213. [Google Scholar] [CrossRef] [PubMed]
  16. Zobel, E.H.; von Scholten, B.J.; Reinhard, H.; Persson, F.; Teerlink, T.; Hansen, T.W.; Parving, H.H.; Jacobsen, P.K.; Rossing, P. Symmetric and asymmetric dimethylarginine as risk markers of cardiovascular disease, all-cause mortality and deterioration in kidney function in persons with type 2 diabetes and microalbuminuria. Cardiovasc. Diabetol. 2017, 16, 88. [Google Scholar] [CrossRef]
  17. Beltran-Alvarez, P.; Pagans, S.; Brugada, R. The cardiac sodium channel is post-translationally modified by arginine methylation. J. Proteom Res. 2011, 10, 3712–3719. [Google Scholar] [CrossRef]
  18. Beltran-Alvarez, P.; Tarradas, A.; Chiva, C.; Perez-Serra, A.; Batlle, M.; Perez-Villa, F.; Schulte, U.; Sabido, E.; Brugada, R.; Pagans, S. Identification of N-terminal protein acetylation and arginine methylation of the voltage-gated sodium channel in end-stage heart failure human heart. J. Mol. Cell. Cardiol. 2014, 76, 126–129. [Google Scholar] [CrossRef]
  19. Beltran-Alvarez, P.; Feixas, F.; Osuna, S.; Diaz-Hernandez, R.; Brugada, R.; Pagans, S. Interplay between R513 methylation and S516 phosphorylation of the cardiac voltage-gated sodium channel. Amino Acids 2015, 47, 429–434. [Google Scholar] [CrossRef]
  20. Achan, V.; Broadhead, M.; Malaki, M.; Whitley, G.; Leiper, J.; MacAllister, R.; Vallance, P. Asymmetric dimethylarginine causes hypertension and cardiac dysfunction in humans and is actively metabolized by dimethylarginine dimethylaminohydrolase. Arterioscl. Thromb. Vascular Biol. 2003, 23, 1455–1459. [Google Scholar] [CrossRef]
  21. Nijveldt, R.J.; Van Leeuwen, P.A.; Van Guldener, C.; Stehouwer, C.D.; Rauwerda, J.A.; Teerlink, T. Net renal extraction of asymmetrical (ADMA) and symmetrical (SDMA) dimethylarginine in fasting humans. Nephrology Dialysis Transplantation 2002, 17, 1999–2002. [Google Scholar] [CrossRef] [PubMed]
  22. Bollenbach, A.; Hanff, E.; Beckmann, B.; Kruger, R.; Tsikas, D. GC-MS quantification of urinary symmetric dimethylarginine (SDMA), a whole-body symmetric l-arginine methylation index. Anal. Biochem. 2018, 556, 40–44. [Google Scholar] [CrossRef] [PubMed]
  23. Kuo, H.C.; Hsu, C.N.; Huang, C.F.; Lo, M.H.; Chien, S.J.; Tain, Y.L. Urinary arginine methylation index associated with ambulatory blood pressure abnormalities in children with chronic kidney disease. JASH 2012, 6, 385–392. [Google Scholar] [CrossRef]
  24. Tsikas, D.; Thum, T.; Becker, T.; Pham, V.V.; Chobanyan, K.; Mitschke, A.; Beckmann, B.; Gutzki, F.M.; Bauersachs, J.; Stichtenoth, D.O. Accurate quantification of dimethylamine (DMA) in human urine by gas chromatography-mass spectrometry as pentafluorobenzamide derivative: Evaluation of the relationship between DMA and its precursor asymmetric dimethylarginine (ADMA) in health and disease. J. Chromatogr. B 2007, 851, 229–239. [Google Scholar] [CrossRef] [PubMed]
  25. Asatoor, A.M.; Simenhoff, M.L. The origin of urinary dimethylamine. Biochim. Biophys. Acta 1965, 111, 384–392. [Google Scholar] [CrossRef]
  26. Mitchell, S.C.; Zhang, A.Q.; Smith, R.L. Dimethylamine and diet. Food Chem. Toxicol. 2008, 46, 1734–1738. [Google Scholar] [CrossRef] [PubMed]
  27. Servillo, L.; Giovane, A.; Cautela, D.; Castaldo, D.; Balestrieri, M.L. The methylarginines NMMA, ADMA, and SDMA are ubiquitous constituents of the main vegetables of human nutrition. Nitric Oxide 2013, 30, 43–48. [Google Scholar] [CrossRef] [PubMed]
  28. Engeli, S.; Tsikas, D.; Lehmann, A.C.; Bohnke, J.; Haas, V.; Strauss, A.; Janke, J.; Gorzelniak, K.; Luft, F.C.; Jordan, J. Influence of dietary fat ingestion on asymmetrical dimethylarginine in lean and obese human subjects. Nutr. Metab. Cardiovasc. Dis. 2012, 22, 720–726. [Google Scholar] [CrossRef] [PubMed]
  29. Kayacelebi, A.A.; Langen, J.; Weigt-Usinger, K.; Chobanyan-Jurgens, K.; Mariotti, F.; Schneider, J.Y.; Rothmann, S.; Frolich, J.C.; Atzler, D.; Choe, C.U.; et al. Biosynthesis of homoarginine (hArg) and asymmetric dimethylarginine (ADMA) from acutely and chronically administered free L-arginine in humans. Amino Acids 2015, 47, 1893–1908. [Google Scholar] [CrossRef] [PubMed]
  30. Mariotti, F.; Valette, M.; Lopez, C.; Fouillet, H.; Famelart, M.H.; Mathe, V.; Airinei, G.; Benamouzig, R.; Gaudichon, C.; Tome, D.; et al. Casein compared with whey proteins affects the organization of dietary fat during digestion and attenuates the postprandial triglyceride response to a mixed high-fat meal in healthy, overweight men. J. Nutr. 2015, 145, 2657–2664. [Google Scholar] [CrossRef] [PubMed]
  31. Tsikas, D.; Schubert, B.; Gutzki, F.M.; Sandmann, J.; Frölich, J.C. Quantitative determination of circulating and urinary asymmetric dimethylarginine (ADMA) in humans by gas chromatography-tandem mass spectrometry as methyl ester tri(N-pentafluoropropionyl) derivative. J. Chromatogr. B 2003, 798, 87–99. [Google Scholar] [CrossRef]
  32. Tsikas, D.; Beckmann, B.; Gutzki, F.M.; Jordan, J. Simultaneous gas chromatography-tandem mass spectrometry quantification of symmetric and asymmetric dimethylarginine in human urine. Anal. Biochem. 2011, 413, 60–62. [Google Scholar] [CrossRef]
  33. Torremans, A.; Marescau, B.; Vanholder, R.; De Smet, R.; Billiouw, J.M.; De Deyn, P.P. The low nanomolar levels of N G-monomethylarginine in serum and urine of patients with chronic renal insufficiency are not significantly different from control levels. Amino Acids 2003, 24, 375–381. [Google Scholar] [CrossRef] [PubMed]
  34. Martens-Lobenhoffer, J.; Rodionov, R.N.; Drust, A.; Bode-Boger, S.M. Detection and quantification of alpha-keto-delta-(N(G),N(G)-dimethylguanidino)valeric acid: A metabolite of asymmetric dimethylarginine. Anal. Biochem. 2011, 419, 234–240. [Google Scholar] [CrossRef] [PubMed]
  35. Martens-Lobenhoffer, J.; Rodionov, R.N.; Bode-Böger, S.M. Determination of asymmetric Nalpha-acetyldimethylarginine in humans: A phase II metabolite of asymmetric dimethylarginine. Anal. Biochem. 2014, 452, 25–30. [Google Scholar] [CrossRef] [PubMed]
  36. Schneider, J.Y.; Rothmann, S.; Schröder, F.; Langen, J.; Lücke, T.; Mariotti, F.; Huneau, J.F.; Frölich, J.C.; Tsikas, D. Effects of chronic oral L-arginine administration on the L-arginine/NO pathway in patients with peripheral arterial occlusive disease or coronary artery disease: L-Arginine prevents renal loss of nitrite, the major NO reservoir. Amino Acids 2015, 47, 1961–1974. [Google Scholar] [CrossRef]
  37. Said, M.Y.; Bollenbach, A.; Minovic, I.; van Londen, M.; Frenay, A.R.; de Borst, M.H.; van den Berg, E.; Kayacelebi, A.A.; Tsikas, D.; van Goor, H.; et al. Plasma ADMA, urinary ADMA excretion, and late mortality in renal transplant recipients. Amino Acids 2019. [Google Scholar] [CrossRef] [PubMed]
Nutrients 11 01463 g001 550
Figure 1. Simplified schematic of the asymmetric and symmetric methylation (ADMA and SDMA respectively) of arginine residues in proteins, their proteolysis to free ADMA and SDMA, metabolism of ADMA by dimethylarginine dimethylaminohydrolase (DDAH) to dimethylamine (DMA), and their excretion in the urine. Proposal of the protein arginine dimethylation index (PADiMeX).
Figure 1. Simplified schematic of the asymmetric and symmetric methylation (ADMA and SDMA respectively) of arginine residues in proteins, their proteolysis to free ADMA and SDMA, metabolism of ADMA by dimethylarginine dimethylaminohydrolase (DDAH) to dimethylamine (DMA), and their excretion in the urine. Proposal of the protein arginine dimethylation index (PADiMeX).
Nutrients 11 01463 g001
Table
Table 1. Spearman correlation coefficients between the concentrations (a) and creatinine-corrected excretion rates (b) of the analytes in the urine samples for all volunteers, meals, and time points (n = 124 values). toPADiMeX is ADMA + DMA + SDMA for total Arg dimethylation.
Table 1. Spearman correlation coefficients between the concentrations (a) and creatinine-corrected excretion rates (b) of the analytes in the urine samples for all volunteers, meals, and time points (n = 124 values). toPADiMeX is ADMA + DMA + SDMA for total Arg dimethylation.
Table 1aADMASDMADMA
SDMA (µmol/L)0.939, p < 0.0001
DMA (µmol/L)0.900, p < 0.00010.923, p < 0.0001
Creatinine (mmol/L)0.842, p < 0.00010.886, p < 0.00010.883, p < 0.0001
Table 1bADMASDMADMA
SDMA (µmol/mmol)0.811, p < 0.0001
DMA (µmol/mmol)0.652, p < 0.00010.765, p < 0.0001
toPADiMeX (µmol/mmol)0.755, p < 0.00010.842, p < 0.00010.981, p < 0.0001
Table
Table 2. Spearman correlation coefficients between plasma clinical laboratory parameters at baseline.
Table 2. Spearman correlation coefficients between plasma clinical laboratory parameters at baseline.
GlucoseTAGapoB48NEFAInsulinTNF-αIL-6MCP-1sICAM-1sVCAM-1MPOE-SelectintPAI-1RI
TAG0.086
apoB480.0340.785 c
NEFA−0.2650.0990.055
Insulin0.249−0.225−0.062−0.312
TNF-α0.395 a−0.082−0.010−0.1540.372 a
IL-60.489 a−0.0260.023−0.1580.446 a0.847 c
MCP-10.109−0.1160.077−0.3010.557 b0.690 c0.754 c
sICAM-1−0.2350.0760.121−0.2180.495 a0.1980.1640.283
sVCAM-1−0.231−0.0480.090−0.471 a0.303−0.012−0.0590.1310.726 c
MPO−0.187−0.050−0.108−0.1640.073−0.212−0.1080.118−0.0100.063
E-Selectin−0.242−0.281−0.224−0.403 a0.454 a0.216−0.0280.2250.630 c0.598 c0.203
tPAI-10.126−0.171−0.153−0.0610.0890.0040.1680.0160.059−0.0730.0390.168
RI−0.104−0.163−0.169−0.467 a0.1970.055−0.0740.0330.3480.485 a−0.0920.565 b0.111
SI−0.0870.436 a0.3170.296−0.0220.0170.0580.118−0.025−0.1560.136−0.226−0.673−0.236
a, p < 0.05; b, p < 0.001; c, p < 0.0001.
Table
Table 3. Spearman correlation coefficients between baseline urinary concentrations (µmol/L; not corrected for creatinine) of ADMA, SDMA, DMA, toPADiMeX, and a/sPADiMeX, BMI, and plasma clinical chemistry biochemical parameters. Data are not shown for correlations among the plasma parameters (i.e., from Glucose to Basal_SI). (*), 0.05 < p < 0.1; *, p < 0.05; **, p < 0.001; ***, p < 0.0001.
Table 3. Spearman correlation coefficients between baseline urinary concentrations (µmol/L; not corrected for creatinine) of ADMA, SDMA, DMA, toPADiMeX, and a/sPADiMeX, BMI, and plasma clinical chemistry biochemical parameters. Data are not shown for correlations among the plasma parameters (i.e., from Glucose to Basal_SI). (*), 0.05 < p < 0.1; *, p < 0.05; **, p < 0.001; ***, p < 0.0001.
ADMASDMADMAtoPADiMeXa/sPADiMeXBMI
BMI0.0720.1680.0570.064−0.279
Glucose0.2490.328 (*)0.312 (*)0.332 (*)−0.068−0.191
TAG−0.143−0.141−0.164−0.180−0.125−0.235
apoB48−0.285−0.260−0.236−0.264−0.017−0.076
NEFA0.1710.1670.1560.150−0.107−0.117
Insulin0.1970.2400.1600.189−0.2050.458 *
TNF-α0.360 *0.526 **0.392 *0.422 *−0.2410.310 (*)
IL-60.349 (*)0.496 **0.370 *0.411−0.2980.200
MCP-10.1160.2790.1720.198−0.2120.339 (*)
sICAM-10.1340.126−0.021−0.013−0.376 *0.627 ***
sVCAM-1−0.207−0.208−0.291−0.302−0.2080.415 *
MPO−0.214−0.187−0.217−0.223−0.2330.113
E-Selectin−0.103−0.034−0.150−0.147−0.2570.774 ***
tPAI-1−0.0010.0040.0800.0710.0940.295
Basal_RI0.066−0.0120.0560.0530.1860.217
Basal_SI0.0050.008−0.126−0.103−0.317 (*)−0.211
Table
Table 4. Urinary creatinine (mmol/L), creatinine-corrected excretion of ADMA, DMA, SDMA, aPADiMeX, toPADiMeX (µmol/mmol), and a/sPADiMeX (median (25th–75th) or mean ± SD) at the indicated time points.
Table 4. Urinary creatinine (mmol/L), creatinine-corrected excretion of ADMA, DMA, SDMA, aPADiMeX, toPADiMeX (µmol/mmol), and a/sPADiMeX (median (25th–75th) or mean ± SD) at the indicated time points.
MeasureT0T2T4T6ANOVA
Creatinine10.9 (5.5–17.0)12.0 (8.6–21.9)17.4 ± 9.5
T4 vs. T0: p = 0.0007 		8.9 (5.2–15.4)
T6 vs. T4: p = 0.0011		p = 0.0021
ADMA3.59 ± 1.383.62 ± 1.33.43 ± 1.233.17 ± 1.09
T6 vs. T2: p = 0.0006		p = 0.0718
DMA26.9 (19.9–35.1)27.5 (20.3–36.1)33.7 (22.2–37.3)
T4 vs. T0: p = 0.0027		30.8 ± 10.1p = 0.0190
SDMA4.45 (3.48–5.59)4.78 (3.1–6.3)4.52 (3.35–5.86)4.05 (3.22–5.64)
T6 vs. T2: p = 0.0499 		p = 0.2687
aPADiMeX29.9 (24.3–39)30.7 (22.2–40.4)37.4 (24.8–41.9)
T4 vs. T0: p = 0.0290		33.9 ± 10.9p = 0.0677
toPADiMeX33.5 (29.9–44.0)33.8 (28.2–45.4)37.6 (26.1–43.0)38.3 ± 11.4p = 0.2980
a/sPADiMeX7.21 (5.25–8.63)7.57 ± 3.157.90 ± 2.818.46 ± 3.19p = 0.2213

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Bollenbach, A.; Huneau, J.-F.; Mariotti, F.; Tsikas, D. Asymmetric and Symmetric Protein Arginine Dimethylation: Concept and Postprandial Effects of High-Fat Protein Meals in Healthy Overweight Men. Nutrients 2019, 11, 1463. https://doi.org/10.3390/nu11071463

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Bollenbach A, Huneau J-F, Mariotti F, Tsikas D. Asymmetric and Symmetric Protein Arginine Dimethylation: Concept and Postprandial Effects of High-Fat Protein Meals in Healthy Overweight Men. Nutrients. 2019; 11(7):1463. https://doi.org/10.3390/nu11071463

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Bollenbach, Alexander, Jean-François Huneau, François Mariotti, and Dimitrios Tsikas. 2019. "Asymmetric and Symmetric Protein Arginine Dimethylation: Concept and Postprandial Effects of High-Fat Protein Meals in Healthy Overweight Men" Nutrients 11, no. 7: 1463. https://doi.org/10.3390/nu11071463

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