Association of urine and plasma ADMA with atherosclerotic risk in DKD cardiovascular disease risk in diabetic kidney disease: findings from the Chronic Renal Insufficiency Cohort (CRIC) study Article Swipe
Sarah J. Schrauben
,
Hima Sapa
,
Dawei Xie
,
Xiaoming Zhang
,
Amanda H. Anderson
,
Michael G. Shlipak
,
Chi‐yuan Hsu
,
Tariq Shafi
,
Rupal Mehta
,
Zeenat Bhat
,
Julie Brown
,
Jeanne Charleston
,
Jing Chen
,
Jiang He
,
Joachim H. Ix
,
Pandurango Rao
,
Ray Townsend
,
Paul L. Kimmel
,
Ramachandran S. Vasan
,
Harold I. Feldman
,
Jesse C. Seegmiller
,
Henri Brunengraber
,
Thomas H. Hostetter
,
Jeffrey R. Schelling
,
Lawrence J. Appel
,
Alan S. Go
,
James P. Lash
,
Jing Chen
,
Robert G. Nelson
,
Mahboob Rahman
,
Vallabh O. Shah
,
Debbie L. Cohen
,
Mark L. Unruh
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/ndt/gfad103
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1093/ndt/gfad103
Background Chronic kidney disease (CKD) is associated with atherosclerotic cardiovascular disease (ASCVD) risk, especially among those with diabetes. Altered metabolism of solutes that accumulate in CKD [asymmetric dimethylarginine (ADMA), symmetric dimethylarginine (SDMA) and trimethylamine N-oxide (TMAO)] may reflect pathways linking CKD with ASCVD. Methods This case–cohort study included Chronic Renal Insufficiency Cohort participants with baseline diabetes, estimated glomerular filtration rate <60 mL/min/1.73 m2, and without prior history for each outcome. The primary outcome was incident ASCVD (time to first myocardial infarction, stroke or peripheral artery disease event) and secondary outcome was incident heart failure. The subcohort comprised randomly selected participants meeting entry criteria. Plasma and urine ADMA, SDMA and TMAO concentrations were determined by liquid chromatography–tandem mass spectrometry. Associations of uremic solute plasma concentrations and urinary fractional excretions with outcomes were evaluated by weighted multivariable Cox regression models, adjusted for confounding covariables. Results Higher plasma ADMA concentrations (per standard deviation) were associated with ASCVD risk [hazard ratio (HR) 1.30, 95% confidence interval (CI) 1.01–1.68]. Lower fractional excretion of ADMA (per standard deviation) was associated with ASCVD risk (HR 1.42, 95% CI 1.07–1.89). The lowest quartile of ADMA fractional excretion was associated with greater ASCVD risk (HR 2.25, 95% CI 1.08–4.69) compared with the highest quartile. Plasma SDMA and TMAO concentration and fractional excretion were not associated with ASCVD. Neither plasma nor fractional excretion of ADMA, SDMA and TMAO were associated with incident heart failure. Conclusion These data suggest that decreased kidney excretion of ADMA leads to increased plasma concentrations and ASCVD risk.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/ndt/gfad103
- OA Status
- green
- Cited By
- 15
- References
- 36
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4378348558
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4378348558Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1093/ndt/gfad103Digital Object Identifier
- Title
-
Association of urine and plasma ADMA with atherosclerotic risk in DKD cardiovascular disease risk in diabetic kidney disease: findings from the Chronic Renal Insufficiency Cohort (CRIC) studyWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-05-25Full publication date if available
- Authors
-
Sarah J. Schrauben, Hima Sapa, Dawei Xie, Xiaoming Zhang, Amanda H. Anderson, Michael G. Shlipak, Chi‐yuan Hsu, Tariq Shafi, Rupal Mehta, Zeenat Bhat, Julie Brown, Jeanne Charleston, Jing Chen, Jiang He, Joachim H. Ix, Pandurango Rao, Ray Townsend, Paul L. Kimmel, Ramachandran S. Vasan, Harold I. Feldman, Jesse C. Seegmiller, Henri Brunengraber, Thomas H. Hostetter, Jeffrey R. Schelling, Lawrence J. Appel, Alan S. Go, James P. Lash, Jing Chen, Robert G. Nelson, Mahboob Rahman, Vallabh O. Shah, Debbie L. Cohen, Mark L. UnruhList of authors in order
- Landing page
-
https://doi.org/10.1093/ndt/gfad103Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://pmc.ncbi.nlm.nih.gov/articles/PMC10689177/pdf/gfad103.pdfDirect OA link when available
- Concepts
-
Medicine, Internal medicine, Renal function, Kidney disease, Hazard ratio, Diabetes mellitus, Asymmetric dimethylarginine, Albuminuria, Endocrinology, Framingham Risk Score, Type 2 diabetes, Cohort, Proportional hazards model, Cardiology, Confidence interval, Disease, Chemistry, Arginine, Biochemistry, Amino acidTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
15Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 4, 2024: 11Per-year citation counts (last 5 years)
- References (count)
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36Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.in | 25 |
| abstract_inverted_index.is | 6 |
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| abstract_inverted_index.or | 83 |
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| abstract_inverted_index.95% | 160, 180, 198 |
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| abstract_inverted_index.and | 33, 64, 88, 105, 109, 125, 208, 211, 227, 250 |
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| abstract_inverted_index.m2, | 63 |
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| abstract_inverted_index.not | 215 |
| abstract_inverted_index.the | 203 |
| abstract_inverted_index.was | 74, 91, 173, 190 |
| abstract_inverted_index.(CI) | 163 |
| abstract_inverted_index.(HR) | 158 |
| abstract_inverted_index.(per | 148, 170 |
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| abstract_inverted_index.SDMA | 108, 207, 226 |
| abstract_inverted_index.TMAO | 110, 209, 228 |
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| abstract_inverted_index.rate | 60 |
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| abstract_inverted_index.with | 8, 17, 42, 54, 129, 153, 175, 192, 202, 217, 231 |
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| abstract_inverted_index.1.42, | 179 |
| abstract_inverted_index.2.25, | 197 |
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| abstract_inverted_index.ASCVD | 76, 154, 176, 194, 251 |
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| abstract_inverted_index.Renal | 50 |
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| abstract_inverted_index.leads | 245 |
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| abstract_inverted_index.Cohort | 52 |
| abstract_inverted_index.Higher | 144 |
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| abstract_inverted_index.artery | 85 |
| abstract_inverted_index.event) | 87 |
| abstract_inverted_index.kidney | 3, 241 |
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| abstract_inverted_index.lowest | 184 |
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| abstract_inverted_index.stroke | 82 |
| abstract_inverted_index.uremic | 121 |
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| abstract_inverted_index.(TMAO)] | 36 |
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| abstract_inverted_index.Chronic | 2, 49 |
| abstract_inverted_index.Methods | 44 |
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| abstract_inverted_index.disease | 4, 11, 86 |
| abstract_inverted_index.greater | 193 |
| abstract_inverted_index.highest | 204 |
| abstract_inverted_index.history | 67 |
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| abstract_inverted_index.meeting | 101 |
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| abstract_inverted_index.deviation) | 150, 172 |
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| abstract_inverted_index.peripheral | 84 |
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| abstract_inverted_index.covariables. | 142 |
| abstract_inverted_index.participants | 53, 100 |
| abstract_inverted_index.1.01–1.68]. | 164 |
| abstract_inverted_index.1.07–1.89). | 182 |
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| abstract_inverted_index.case–cohort | 46 |
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| corresponding_author_ids | https://openalex.org/A5023461981 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 33 |
| corresponding_institution_ids | https://openalex.org/I79576946 |
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