Predictive Potential of Twenty-Two Biochemical Biomarkers forCoronary Artery Disease in Type 2 Diabetes Mellitus
Pereira, Edimar Cristiano; Bertolami, Marcelo Chiara; Faludi, André Arpad; Monte, Osmar; Xavier, Hermes Toros; Pereira, Tiago Veiga; Abdalla, Dulcineia Saes Parra.
J. clin. endocrinol. metab
; 2015: 1-8, 2015. ilus
Artículo
en Inglés
| SES-SP, SESSP-IDPCPROD, SES-SP | ID: biblio-1063835
We investigated the potential of a panel of 22 biomarkers to predict the presence of coronary artery disease (CAD) in type 2diabetes mellitus (DM2) patients. The study enrolled 96 DM2 patients with (n = 75) and without (n = 21) evidence of CAD.We assessed a biochemical profile that included 22 biomarkers total cholesterol, LDL, HDL, LDL/HDL, triglycerides, glucose,glycated hemoglobin, fructosamine, homocysteine, cysteine, methionine, reduced glutathione, oxidized glutathione, reducedglutathione/oxidized glutathione, L-arginine, asymmetric dimethyl-L-arginine, symmetric dimethyl-L-arginine, asymmetricdimethyl-L-arginine/L-arginine, nitrate plus nitrite, S-nitrosothiols, nitrotyrosine, and n-acetyl-𝛽-glucosaminidase. Predictionmodels were built using logistic regression models.We found that eight biomarkers (methionine, nitratate plus nitrite, n-acetyl-𝛽-glucosaminidase, BMI, LDL, HDL, reduced glutathione, and L-arginine/asymmetric dimethyl-L-arginine) along with gender andBMI were significantly associated with the odds of CAD in DM2. These preliminary findings support the notion that emergingbiochemical markers might be used for CAD prediction in patients with DM2. Our findings warrant further investigation withlarge, well-designed studies.
Biblioteca responsable:
BR79.1
Ubicación: BR79.1
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