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Data on urinary pteridines as a discriminator of atherosclerotic risk in patients with diabetes

Presented here are the supplemental data of the research article “Urinary pteridines as a discriminator of atherosclerotic risk in patients with diabetes” [1]. These data provide the first information on variables that affect urinary levels of pteridines (oxidized-form pteridine derivatives) in pati...

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Autores principales: Marumo, Mikio, Ekawa, Kazumi, Wakabayashi, Ichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857561/
https://www.ncbi.nlm.nih.gov/pubmed/35242903
http://dx.doi.org/10.1016/j.dib.2022.107897
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author Marumo, Mikio
Ekawa, Kazumi
Wakabayashi, Ichiro
author_facet Marumo, Mikio
Ekawa, Kazumi
Wakabayashi, Ichiro
author_sort Marumo, Mikio
collection PubMed
description Presented here are the supplemental data of the research article “Urinary pteridines as a discriminator of atherosclerotic risk in patients with diabetes” [1]. These data provide the first information on variables that affect urinary levels of pteridines (oxidized-form pteridine derivatives) in patients with diabetes mellitus. In linear regression analysis, gender (women vs. men), current history of smoking and urinary albumin showed significant positive correlations with pteridines, while there were significant inverse correlations of pteridines with a history of alcohol drinking and body mass index. The above associations were confirmed by using analysis of covariance and logistic regression analysis. Among the eight variables (age, gender, medication therapy for diabetes, smoking, alcohol drinking, body mass index, hemoglobin A(1c) and urinary albumin) tested, smoking showed the strongest association with urinary pteridines.
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spelling pubmed-88575612022-03-02 Data on urinary pteridines as a discriminator of atherosclerotic risk in patients with diabetes Marumo, Mikio Ekawa, Kazumi Wakabayashi, Ichiro Data Brief Data Article Presented here are the supplemental data of the research article “Urinary pteridines as a discriminator of atherosclerotic risk in patients with diabetes” [1]. These data provide the first information on variables that affect urinary levels of pteridines (oxidized-form pteridine derivatives) in patients with diabetes mellitus. In linear regression analysis, gender (women vs. men), current history of smoking and urinary albumin showed significant positive correlations with pteridines, while there were significant inverse correlations of pteridines with a history of alcohol drinking and body mass index. The above associations were confirmed by using analysis of covariance and logistic regression analysis. Among the eight variables (age, gender, medication therapy for diabetes, smoking, alcohol drinking, body mass index, hemoglobin A(1c) and urinary albumin) tested, smoking showed the strongest association with urinary pteridines. Elsevier 2022-02-02 /pmc/articles/PMC8857561/ /pubmed/35242903 http://dx.doi.org/10.1016/j.dib.2022.107897 Text en © 2022 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Marumo, Mikio
Ekawa, Kazumi
Wakabayashi, Ichiro
Data on urinary pteridines as a discriminator of atherosclerotic risk in patients with diabetes
title Data on urinary pteridines as a discriminator of atherosclerotic risk in patients with diabetes
title_full Data on urinary pteridines as a discriminator of atherosclerotic risk in patients with diabetes
title_fullStr Data on urinary pteridines as a discriminator of atherosclerotic risk in patients with diabetes
title_full_unstemmed Data on urinary pteridines as a discriminator of atherosclerotic risk in patients with diabetes
title_short Data on urinary pteridines as a discriminator of atherosclerotic risk in patients with diabetes
title_sort data on urinary pteridines as a discriminator of atherosclerotic risk in patients with diabetes
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8857561/
https://www.ncbi.nlm.nih.gov/pubmed/35242903
http://dx.doi.org/10.1016/j.dib.2022.107897
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