Symmetric dimethylarginine (SDMA) as endogenous marker of renal function–a meta-analysis
Abstract
BACKGROUND: Dosing of most drugs must be adapted in renal insufficiency, making accurate assessment of renal function essential in clinical medicine. Furthermore, even modest impairment of renal function has been recognized as a cardiovascular risk factor. The purpose of this analysis was to identify the role of symmetric dimethylarginine (SDMA), the structural isomer of the cardiovascular risk marker asymmetric dimethylarginine, as an endogenous marker of renal function. METHODS: Comprehensive searches of Medline and the Cochrane Library from 1970 to February 2006 were performed to identify studies that evaluated the correlation between SDMA and renal function. The search was augmented by scanning references of identified articles and reviews. The correlation coefficients (R) were recorded from each study for the values of 1/SDMA and clearance estimates and for SDMA and creatinine levels. The summary correlation coefficients with 95% confidence intervals (CIs) were pooled using the random-effects method. RESULTS: In 18 studies involving 2136 patients systemic SDMA concentrations correlated highly with inulin clearance [R = 0.85 (CI 0.76-0.91, P < 0.0001)], as well as with various clearance estimates combined [R = 0.77 (CI 0.65-0.85, P < 0.0001)] and serum creatinine [R = 0.75 (CI 0.46-089, P < 0.0001)]. CONCLUSIONS: SDMA exhibits some properties of a reliable marker of renal function. Future studies have to clarify whether SDMA is indeed suited to improve diagnosis and eventually optimize care of patients.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
SDMA is highly correlated with renal function (r>0.80; P<0.0001) in both men and women.
“Further, we too had performed unpublished untargeted metabolomics analyses and identified symmetric dimethylarginine (SDMA) as being highly correlated with renal function (r > 0.80; P < 0.0001) in both men and women alike (data not shown), and alternative published studies have similarly suggested SDMA serves as an excellent endogenous marker of renal function. 25”
From Impact of chronic dietary red meat, white meat, or non-meat protein on trimethylamine N-oxide metabolism and renal excretion in healthy men and women (2019) · cites this paper as [25]
The citation lists haven’t been fetched yet
References 43 · Cited by 363
- Authors
- Kielstein, J. T., Salpeter, S. R., Bode-Boeger, S. M., Cooke, J. P., & Fliser, D.
- Affiliations
- Stanford Medicine (US)
- Medizinische Hochschule Hannover (DE)
- Corresponding author
- Kielstein, Jan T.
- Venue
- Nephrology Dialysis Transplantation
- Publisher
- Oxford University Press (OUP)
- Published
- 2006-07-04
- Volume
- 21
- Issue
- 9
- Pages
- 2446-2451
- ISSN
- 0931-0509 (ISSN-L)
- 1460-2385
- OpenAlex
- W2106422918
- Cited by
- 363
- References
- 43
- Citations by year
- 2026: 8 · 2025: 15 · 2024: 17 · 2023: 15 · 2022: 17 · 2021: 22 · 2020: 19 · 2019: 22 · 2018: 26 · 2017: 15 · 2016: 16 · 2015: 21 · 2014: 19 · 2013: 20 · 2012: 25
- FWCI
- 2.59
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nephrology Dialysis Transplantation (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Nephrology › Acute Kidney Injury Research
- Health Sciences › Medicine › Nephrology › Dialysis and Renal Disease Management
- Keywords
- symmetric dimethylarginine, renal function markers, inulin clearance, serum creatinine, renal failure, cardiovascular risk, asymmetric dimethylarginine, renal dose adjustment
- MeSH terms
- Arginine, Cardiovascular Diseases, Creatinine, Female, Humans, Inulin, Male, Prognosis, Retrospective Studies, Risk Factors, Biomarkers, Renal Insufficiency, Chronic
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review