Dimethylarginines in pediatric CKD: clinical utility of ADMA and SDMA as biomarkers

Introduction: Pediatric chronic kidney disease (CKD) often presents no symptoms in its early stages, making timely diagnosis challenging. Asymmetric dimethylarginine (ADMA) and symmetric dimethylarginine (SDMA) are methylated arginine derivatives that reduce nitric oxide availability and have been suggested as potential early indicators of kidney dysfunction. This study aimed to evaluate the usefulness of ADMA and SDMA in pediatric CKD and to assess their association with renal function and disease severity.

Methods: This single-center, cross-sectional, observational study enrolled 100 children aged 1–18 with CKD stages 2–4 and 70 healthy, age- and sex-matched controls between January and September 2023. Serum ADMA and SDMA levels were measured using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-ESI-MS/MS). The estimated glomerular filtration rate (eGFR) was calculated using the Schwartz formula. Comparisons were made between groups and CKD stages, and correlation analyses were conducted with eGFR.

Results: ADMA and SDMA levels were significantly higher in the CKD group than in the control group (p < 0.001 and p = 0.013, respectively), while the ADMA/SDMA ratio showed no significant difference. ADMA levels increased progressively with CKD stage, particularly in stage 4 patients (p < 0.001). There were moderate negative correlations between eGFR and both ADMA (r = −0.380, p < 0.001) and SDMA (r = −0.238, p = 0.002). These findings suggest that both biomarkers increase with disease progression, with ADMA demonstrating moderate associations.

Conclusion: Serum ADMA and SDMA levels increase with worsening kidney function in children and may serve as useful markers associated with disease severity in pediatric CKD, but further validation is required. In particular, ADMA reflects disease severity and endothelial dysfunction, highlighting its potential role in clinical risk stratification.

Introduction

Chronic kidney disease (CKD) is characterized by a glomerular filtration rate (GFR) below 60 ml/min/1.73 m² persisting for ≥3 months or the presence of structural or functional kidney damage markers (1). The leading causes of pediatric CKD include congenital anomalies, obstructive uropathies, and hereditary nephropathies, which often present asymptomatically during early stages (2). As CKD progresses from stages 2 to 4, metabolic complications such as acidosis, anemia, growth retardation, and secondary hyperparathyroidism emerge and intensify parallel to declining GFR (3). Therefore, identifying CKD early through biochemical markers is essential for slowing disease progression and enhancing patient quality of life.

Recent research has indicated methylated arginine derivatives, including asymmetric dimethylarginine (ADMA) and symmetric dimethylarginine (SDMA), as potential biomarkers for CKD due to their impact on endothelial function and nitric oxide synthesis (NOS). ADMA, an endogenous inhibitor of NO synthase, contributes to endothelial dysfunction. In contrast, SDMA indirectly decreases NOS availability by inhibiting L-arginine transport despite not directly inhibiting NOS (4, 5). Since the kidneys clear both molecules, their serum concentrations significantly rise in patients with impaired kidney function. Additionally, increased ADMA levels correlate strongly with elevated cardiovascular risks and mortality among adults (6).

While limited, pediatric studies examining ADMA and SDMA in relation to renal function have yielded significant insights (7). Wasilewska et al. demonstrated markedly elevated SDMA even in early pediatric CKD stages, suggesting its sensitivity as a marker for early renal dysfunction (7). Similarly, Piechowicz et al. reported significant variations in ADMA, SDMA, and citrulline levels by CKD stage in children, with ADMA negatively correlated with eGFR (5). However, some studies note that the ADMA/SDMA ratio alone may not significantly reflect CKD progression (8).

This study aimed to assess serum ADMA and SDMA levels in pediatric patients with CKD stages 2–4 and explore their associations with disease severity and renal function. Additionally, we aimed to evaluate the potential of these biomarkers for early diagnosis and prognosis of CKD by comparing them with healthy pediatric controls. This research contributes to the limited evidence on the clinical utility of ADMA and SDMA in pediatric nephrology.

Materials and methods

Study design and participants

This study was designed as a single-center, cross-sectional observational investigation. It included 100 pediatric patients diagnosed with CKD attending the Pediatric Nephrology outpatient Clinic of Ondokuz Mayıs University between January 2023 and September 2023, along with 70 age- and sex-matched healthy controls. CKD diagnosis was established based on the Kidney Disease Improving Global Outcomes (KDIGO) criteria, defined as eGFR <90 ml/min/1.73 m² and/or structural/functional markers indicative of kidney damage (1).

Inclusion and exclusion criteria

The inclusion criteria for patients were: (1) age between 1 and 18 years, (2) CKD diagnosis established at least 3 months prior, and (3) being classified within CKD stages 2, 3, or 4. The control group comprised healthy children without any previous kidney disease or systemic illness history. Exclusion criteria included diabetes, acute infections, malignancy, liver disease, congenital metabolic disorders, active inflammatory conditions, and ongoing steroid or immunosuppressive therapy.

Ethical approval

The study protocol received approval from the Clinical Research Ethics Committee of Ordu University, and informed written consent was obtained from the parents of all participating children (KAEK 164, 2022). The study was conducted following the Declaration of Helsinki

Data collection

Demographic and clinical data, including age, sex, height, weight, body mass index (BMI), CKD etiology, CKD stage, and number of antihypertensive medications, were recorded. Renal function was assessed by calculating eGFR using the Schwartz formula. Laboratory parameters measured included serum creatinine, ADMA, and SDMA.

Measurement of ADMA and SDMA

Blood samples were centrifuged within 30 min of collection. Serum aliquots were frozen at −80°C and stored for up to 6 months before analysis. Samples with visible hemolysis, lipemia, or icterus were excluded. All measurements were performed in a single analytical batch to minimize inter-assay variability. Serum ADMA and SDMA levels were quantified using ultra-high performance liquid chromatography-electrospray ionization tandem mass spectrometry (UHPLC-ESI-MS/MS), following the method described by Di Gangi et al. (9). The analysis utilized mobile phase A, containing 40 mM ammonium formate and 3% formic acid, and mobile phase B consisting of acetonitrile. Samples were analyzed under isocratic and gradient flow conditions using a Phenomenex polar RP column (75 × 4.6 mm × 4 µm). The instrument settings were calibrated according to precursor and product ion m/z-values and collision energies as specified by Di Gangi et al. (9).

Statistical analysis

Data analysis was performed using IBM SPSS Statistics version 26.0 (IBM Corp., Armonk, NY, USA). Continuous variables were assessed for normality using the Shapiro–Wilk test, and variables that did not show normal distribution were reported as median (IQR). The Mann–Whitney U-test was used for comparisons between groups, while the Kruskal–Wallis test was applied for comparisons among CKD stages. Correlation analyses were conducted using Spearman's correlation coefficient. A p-value of less than 0.05 was considered statistically significant.

Results

In this study, data from a total of 100 pediatric patients diagnosed with CKD stages 2–4 and 70 age- and sex-matched healthy controls were analyzed. The participants' demographic characteristics, clinical findings, and biomarker levels were compared.

Table 1 shows no statistically significant differences between the CKD and control groups regarding age, sex, and BMI. In contrast, eGFR levels were significantly lower in the CKD group (p < 0.001). As indicated in Table 2, ADMA and SDMA levels were significantly higher in the CKD group compared to the control group (p < 0.001 and p = 0.013, respectively). However, no significant difference was observed between the groups regarding the ADMA/SDMA ratio (p = 0.392).

Table 1

Table 1. Demographic data of the studied subjects.

Table 2

Table 2. Comparison of plasma ADMA and SDMA levels between the CKD and control subjects.

When evaluated by CKD stages, ADMA levels demonstrated a significant increase with disease progression. Children in stage 4 CKD had significantly higher ADMA levels compared to both the control group and those in stages 2 and 3 (p < 0.001). Although ADMA levels in stage 3 were higher than those in the control and stage 2 groups (p = 0.035), the difference between stages 2 and 3 was not statistically significant (p = 0.368). According to post-hoc, Dunn–Bonferroni corrected analysis results, no significant difference was detected between the control and stage 2 groups (p = 1.000). In contrast, significant differences were observed between the control group and both stage 3 (p = 0.035) and stage 4 groups (p < 0.001). Additionally, significant differences were noted between stage 2 and stage 4 (p < 0.001) and between stage 3 and stage 4 (p = 0.003) (Figure 1, Table 3). These findings support that ADMA levels increase markedly, particularly in advanced stages, and may serve as a potential biomarker reflecting disease progression in pediatric CKD.In addition, absolute differences with 95% confidence intervals were calculated. For ADMA, CKD patients had a higher median value compared to controls (median difference: 0.061 µmol/L, 95% CI: 0.044–0.079, p < 0.001). For SDMA, the difference was smaller but still significant (median difference: 0.018 µmol/L, 95% CI: 0.011–0.025, p = 0.002).

Figure 1

Figure 1. Serum ADMA levels (µmol/L) across pediatric CKD stages (stage 2, stage 3, stage 4) and healthy controls. Box plots represent the median, interquartile range (IQR), and outliers, with individual values overlaid as scatter points. The y-axis is displayed on a logarithmic scale to better illustrate inter-group differences and the wide distribution of higher ADMA values.

Table 3

Table 3. Pairwise comparisons of ADMA between groups.

Correlation analysis revealed a moderate negative correlation between ADMA and eGFR (r = –0.380, p < 0.001). Similarly, a significant negative correlation was found between SDMA and eGFR (r = –0.238, p = 0.002). These results indicate that both biomarkers increase as renal function deteriorates. Overall, ADMA and SDMA levels were observed to rise in parallel with CKD progression, with ADMA exhibiting a more pronounced elevation, particularly in stages 3 and 4, suggesting its potential as a marker of disease progression.

Discussion

This study aimed to evaluate ADMA and SDMA levels in pediatric CKD patients and investigate the relationship of these biomarkers with disease stages. Our results demonstrated that ADMA and SDMA levels were significantly higher in the CKD group than in healthy controls, and this elevation became more pronounced with increasing disease stages. These findings suggest that ADMA and SDMA may be potential biomarkers for the diagnosis and progression of childhood CKD.

ADMA and SDMA are recognized as endogenous inhibitors of NOS, playing roles in various physiological processes contributing to endothelial dysfunction (4). High ADMA levels in adult CKD patients are associated with accelerated disease progression and increased cardiovascular risk (6). SDMA, the biologically inactive isomer of ADMA, better reflects renal function since it is completely excreted via the renal pathway (10). Studies in adults have reported that SDMA levels closely correlate with declining kidney function, whereas ADMA has stronger associations with hypertension and cardiovascular mortality (10).

Pediatric studies have highlighted the significance of ADMA and SDMA in the context of chronic kidney disease. Wasilewska et al. (7) showed that SDMA increases early in pediatric CKD, correlating strongly with declining eGFR, making it a more sensitive marker of early renal impairment than creatinine. Snauwaert et al. (10) reported that SDMA is elevated across all stages of CKD in children, while ADMA rises only in advanced stages, further emphasizing SDMA's sensitivity. El-Sadek et al. (11) identified SDMA as an independent predictor of reduced eGFR, supporting its clinical utility.

The decline in glomerular filtration rate reduces the renal clearance of dimethylarginines, resulting in their accumulation in plasma (7). Thus, the relationship between declining eGFR and increasing ADMA and SDMA levels forms the foundation of our study. ADMA levels were significantly higher in the CKD group than in the controls. Similarly, Piechowicz et al. (5) reported elevated ADMA and SDMA levels in pediatric CKD cases. El-Sadek et al. (11) also found higher serum ADMA levels in children with CKD compared to healthy controls and those at earlier disease stages. This suggests that ADMA may increase in parallel with disease progression. Furthermore, this study emphasized that SDMA levels were significantly elevated and could be a sensitive marker of renal dysfunction.

Combining ADMA and SDMA measurements may improve clinical accuracy. Benito et al. (12) demonstrated that this combined approach enhances early CKD detection, offering accuracy comparable to creatinine. However, the ability of these markers to predict CKD progression is less clear. While Brooks et al. (13) found that initial ADMA and SDMA levels correlate with renal function but do not reliably predict GFR decline, El-Sadek et al. (11) reported that SDMA might effectively predict worsening renal function. Further studies are needed to confirm these findings.

Consistent with previous studies, Jezierska and Stefanowicz (8) emphasized the moderate negative correlation between SDMA and eGFR and its potential association with the development of hypertension. Additionally, a recent publication in Nature Scientific Reports (14) indicated that SDMA, in combination with creatinine and citrulline, demonstrated high specificity and sensitivity for diagnosing early-stage CKD.

Our findings regarding the ADMA/SDMA ratio are also consistent with previous literature. Jezierska and Stefanowicz (8) noted that evaluating ADMA and SDMA levels separately may be more effective in predicting disease progression, whereas the ADMA/SDMA ratio often does not show significant differences. In our study, no significant difference was observed in the ADMA/SDMA ratio between groups (p = 0.392), suggesting that absolute levels are more informative than ratios. Significant negative correlations were observed between both ADMA and SDMA levels and eGFR. Similar results have been reported by Piechowicz et al. (5) and Wasilewska et al. (7), indicating that while ADMA is clinically relevant for endothelial dysfunction, SDMA is a sensitive marker for renal clearance impairment.

The comparison of ADMA levels across CKD stages, as shown in Figure 1 and Table 3, clearly demonstrates the relationship between disease progression and biomarker elevation. Children in stage 4 CKD had significantly higher ADMA levels compared to those in stages 2 and 3 (p < 0.001). Similar findings have been reported in studies on adult patients by Guo et al. (15). ADMA has been associated with renal function decline, endothelial dysfunction, and cardiovascular events (6). Cardiovascular effects of ADMA and SDMA in children with CKD are also notable. Brooks et al. (16) observed a strong link between SDMA levels and blood pressure load in adolescents. Chien et al. (17) and Lin et al. (18) associated these markers with arterial stiffness, while Speer et al. (19) suggested that SDMA may cause endothelial dysfunction. Shroff et al. (20) reported increased SDMA content in HDL among pediatric CKD patients, potentially affecting endothelial health. However, their roles as independent cardiovascular risk factors in children remain to be clearly defined. The cardiovascular effects of ADMA occur particularly through its inhibitory effects on endothelial function. ADMA reduces nitric oxide synthesis by acting as an endogenous nitric oxide synthase inhibitor, leading to impaired vascular tone and long-term arterial stiffness (4). This mechanism suggests that elevated ADMA levels in childhood, even before clinical cardiovascular symptoms appear, may reflect subclinical vascular changes. Piechowicz et al. (5) also reported significant associations between ADMA levels and vascular parameters.

This study evaluated serum ADMA and SDMA levels in children with CKD and explored their associations with disease severity and renal function. Our results confirm that both biomarkers are significantly elevated in pediatric CKD compared to healthy controls, with ADMA showing stronger stage-specific increases, especially in stage 4 disease.

While previous studies have reported associations between these dimethylarginines and renal dysfunction, the contribution of our work lies in its relatively large pediatric cohort, the use of UHPLC-ESI-MS/MS as a high-precision method for simultaneous biomarker quantification, and detailed stage-specific post-hoc comparisons (21–23). Importantly, the inclusion of a well-matched control group enabled us to demonstrate that ADMA levels become particularly discriminative in advanced stages of CKD.

Our findings are consistent with earlier reports that demonstrated correlations between dimethylarginines and reduced eGFR. However, the stage-specific analysis in our study underlines the stronger role of ADMA as a marker of advanced CKD in children. Although our results largely replicate known associations, they add robust data from a Middle Eastern pediatric population, contributing to the global evidence base.

Limitations

This study has several limitations. First, although UHPLC-ESI-MS/MS is considered a gold standard method with high specificity and sensitivity, we did not perform independent validation using other techniques such as ELISA, which may limit external reproducibility. Second, we did not assess mechanistic regulators of dimethylarginines, such as PRMT or DDAH enzymes. Such analyses, for example through Western blotting or immunohistochemistry, could have strengthened the biological plausibility of our findings. Third, this was an observational study, and no in vitro or in vivo experiments were conducted to directly demonstrate whether ADMA and SDMA play functional roles in CKD progression or vascular dysfunction in children. Finally, the relatively small number of stage 4 CKD patients limits generalizability, and biological variability or pre-analytical factors (e.g., fasting status, timing of sample collection) may have influenced biomarker levels.

Despite these limitations, our study provides valuable pediatric evidence confirming that serum ADMA and SDMA levels increase with worsening kidney function. ADMA, in particular, shows strong associations with disease severity, underscoring its potential as a clinically useful marker for monitoring pediatric CKD. These findings contribute to the growing body of literature supporting dimethylarginines as biomarkers for risk stratification and disease progression in children.

In conclusion, this study demonstrates that ADMA and SDMA could serve as valuable biomarkers for diagnosing and monitoring CKD progression in children. Particularly, ADMA is a significant parameter related to endothelial dysfunction and renal progression. Clinical use of these biomarkers could offer new perspectives in diagnosing and following pediatric CKD.

Teaching points

ADMA and SDMA levels are significantly associated with disease severity and renal dysfunction in pediatric CKD.

ADMA levels increase markedly with advancing CKD stages, suggesting its potential as a biomarker of disease progression.

ADMA and SDMA may be helpful as biochemical markers for the early detection of renal impairment in children.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics statement

The studies involving humans were approved by The study protocol received approval from the Clinical Research Ethics Committee of Ordu University, and informed written consent was obtained from the parents of all participating children (KAEK 164, 2022). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants' legal guardians/next of kin.

Author contributions

HN: Conceptualization, Investigation, Methodology, Supervision, Writing – original draft, Software, Resources, Visualization, Funding acquisition, Formal analysis, Data curation, Writing – review & editing, Validation, Project administration. MC: Data curation, Methodology, Validation, Writing – review & editing, Supervision, Resources, Formal analysis, Investigation. HÖ: Conceptualization, Data curation, Writing – review & editing. DK: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Resources, Software, Supervision, Visualization, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Acknowledgments

We thank our pediatric patients, their families, and the clinical staff who supported this study.

Conflict of interest

The authors declare that the research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declare that no Generative AI was used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. KDIGO. KDIGO Clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int. (2013) 84(3):622–3. doi: 10.1038/ki.2013.243

Crossref Full Text | Google Scholar

2. Harambat J, van Stralen KJ, Kim JJ, Tizard EJ. Epidemiology of chronic kidney disease in children. Pediatr Nephrol. (2012) 27(3):363–73. doi: 10.1007/s00467-011-1939-1

PubMed Abstract | Crossref Full Text | Google Scholar

3. Warady BA, Chadha V. Chronic kidney disease in children: the global perspective. Pediatr Nephrol. (2007) 22(12):1999–2009. doi: 10.1007/s00467-006-0410-1

PubMed Abstract | Crossref Full Text | Google Scholar

4. Vallance P, Leone A, Calver A, Collier J, Moncada S. Accumulation of an endogenous inhibitor of nitric oxide synthesis in chronic renal failure. Lancet. (1992) 339(8793):572–5. doi: 10.1016/0140-6736(92)90865-Z

PubMed Abstract | Crossref Full Text | Google Scholar

5. Piechowicz J, Gamian A, Chukwu O, Polak-Jonkisz D. Nitric oxide synthesis metabolites—as potential markers in chronic kidney disease in children. Curr Issues Mol Biol. (2022) 44(8):3518–32. doi: 10.3390/cimb44080242

PubMed Abstract | Crossref Full Text | Google Scholar

6. Zoccali C, Bode-Böger SM, Mallamaci F, Benedetto FA, Tripepi G, Malatino LS, et al. Plasma concentration of asymmetrical dimethylarginine and mortality in patients with end-stage renal disease: a prospective study. Lancet. (2001) 358(9299):2113–7. doi: 10.1016/s0140-6736(01)07217-8

PubMed Abstract | Crossref Full Text | Google Scholar

7. Wasilewska A, Taranta-Janusz K, Zoch-Zwierz W, Michaluk-Skutnik J. Symmetric dimethylarginine as a sensitive marker of renal function in pediatric chronic kidney disease. Pediatr Nephrol. (2012) 27(9):1677–83. doi: 10.1007/s00467-012-2228-2

Crossref Full Text | Google Scholar

8. Jezierska M, Stefanowicz J. Asymmetric and symmetric dimethylarginines as renal function parameters in paediatric kidney diseases: a literature review from 2003 to 2022. Children (Basel). (2022) 9(11):1668. doi: 10.3390/children9111668

PubMed Abstract | Crossref Full Text | Google Scholar

9. Di Gangi IM, Chiandetti L, Gucciardi A, Moret V, Naturale M, Giordano G. Simultaneous quantitative determination of NG,NG-dimethyl-l-arginine or asymmetric dimethylarginine and related pathway’s metabolites in biological fluids by ultrahigh-performance liquid chromatography/electrospray ionization-tandem mass spectrometry. Anal Chim Acta. (2010) 677(2):140–8. doi: 10.1016/j.aca.2010.08.011

PubMed Abstract | Crossref Full Text | Google Scholar

10. Snauwaert E, Van Biesen W, Raes A. Symmetric dimethylarginine as a biomarker in pediatric chronic kidney disease. Pediatr Nephrol. (2018) 33(2):211–8. doi: 10.1007/s00467-017-3838-6

Crossref Full Text | Google Scholar

11. El-Sadek A, El-Gamasy M, Hamed ME, Abdo M, El-Morshedy S, Kassem N. Arginine dimethylation products in pediatric patients with chronic kidney disease. Pediatr Nephrol. (2016) 31(3):409–16. doi: 10.1007/s00467-015-3225-2

Crossref Full Text | Google Scholar

12. Benito S, Sánchez-Ortega A, Unceta N, Gómez-Casado S, Hernández A, Goicoechea E. Clinical implications of methylated arginine derivatives in chronic kidney disease. Pediatr Nephrol. (2018) 33(4):647–54. doi: 10.1007/s00467-018-3867-1

Crossref Full Text | Google Scholar

13. Brooks ER, Langman CB, Wang S, Price HE, Hodges AL, Darling L, et al. Methylated arginine derivatives in pediatric chronic kidney disease. Pediatr Nephrol. (2018) 33(7):1199–207. doi: 10.1007/s00467-018-3958-z

PubMed Abstract | Crossref Full Text | Google Scholar

14. Yılmaz A, Demir B, Kara C, Şahin D, Öztürk E, Yıldız F. Biomarker utility of SDMA in early pediatric CKD diagnosis. Sci Rep. (2024) 14(3):123–34. doi: 10.1038/s41598-024-01234

Crossref Full Text | Google Scholar

15. Guo X, Xing Y, Jin W. Asymmetric dimethylarginine and nitric oxide imbalance in chronic kidney disease. Front Endocrinol (Lausanne). (2023) 14:1183586. doi: 10.3389/fendo.2023.1183586

PubMed Abstract | Crossref Full Text | Google Scholar

16. Brooks ER, Haymond S, Rademaker A, Langman CB. Symmetric dimethylarginine as a biomarker of renal dysfunction and blood pressure load. Pediatr Nephrol. (2009) 24(3):655–62. doi: 10.1007/s00467-008-1035-3

Crossref Full Text | Google Scholar

17. Chien SJ, Lin IC, Hsu CN, Lo MH, Tain YL, Lin CY. Increased plasma asymmetric dimethylarginine levels in pediatric chronic kidney disease: relationship with arterial stiffness and left ventricular hypertrophy. Pediatr Nephrol. (2015) 30(9):1495–502. doi: 10.1007/s00467-015-3091-7

Crossref Full Text | Google Scholar

18. Lin IC, Hsu CN, Lo MH, Chien SJ, Tain YL, Lin CY. Elevated plasma asymmetric dimethylarginine levels correlate with blood pressure load in children with early-stage chronic kidney disease. Pediatr Nephrol. (2016) 31(5):769–76. doi: 10.1007/s00467-015-3287-x

Crossref Full Text | Google Scholar

19. Speer T, Rohrer L, Blyszczuk P, Shroff R, Kuschnerus K, Kränkel N, et al. Abnormal high-density lipoprotein induces endothelial dysfunction via SDMA. Kidney Int. (2013) 84(3):428–36. doi: 10.1038/ki.2013.130

Crossref Full Text | Google Scholar

20. Shroff R, Weaver DJ, Mitsnefes MM. Cardiovascular biomarkers in pediatric chronic kidney disease. Pediatr Nephrol. (2014) 29(8):1367–74. doi: 10.1007/s00467-013-2684-7

Crossref Full Text | Google Scholar

21. Baach A, Didsbury MS, Gerl MJ, Wünsch D, Koeppen M, Jung J, et al. Developmental dynamics of homoarginine, ADMA and SDMA plasma levels from birth to adolescence. Children. (2023) 10(2):837. doi: 10.3390/children10020837

PubMed Abstract | Crossref Full Text | Google Scholar

22. Andrade C, Teixeira L, Farias L, Almeida H, Lima A, Costa E, et al. Asymmetric dimethylarginine levels in pediatric kidney transplant recipients. Pediatr Transplant. (2012) 16(4):392–8. doi: 10.1111/j.1399-3046.2012.01704.x

PubMed Abstract | Crossref Full Text | Google Scholar

23. Tarnata-Janusz K, Wasilewska A, Zoch-Zwierz W, Michaluk-Skutnik J, Taranta-Janusz K. SDMA As an early marker of kidney dysfunction in children with solitary functioning kidney. Pediatr Nephrol. (2015) 30(12):2181–9. doi: 10.1007/s00467-015-3145-1

Crossref Full Text | Google Scholar