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AbstractBackground:Cystatin C has been proposed to better estimate renal function and predict cardiovascular disease (CVD) than serum creatinine. To expand on our previous report, we investigated whether the relationship of cystatin C to progression of coronary artery atherosclerosis (CA) differed between individuals with type 1 diabetes (T1D) and persons without diabetes.Methods:Coronary artery calcium was measured twice over 2.4 ± 0.4 years (n= 1,123, age = 39 ± 9 years, 47% male, 45% T1D). Significant CA progression was defined as a ≥2.5 increase in square root calcium volume score or development of clinical coronary artery disease. Stepwise multiple logistic regression was performed to investigate whether the association of cystatin C to CA progression differed by T1D status.Results:The main finding and novelty of this article is that while the univariate association of cystatin C to CA progression was similar in T1D patients and persons without diabetes mellitus and in the expected direction (increased cystatin C as a biomarker of worsening renal function associated with CA progression), the association of cystatin C to progression of CA differed by T1D status (P= 0.01) after adjustment for other CVD risk factors. Unexpectedly, in persons without diabetes mellitus having relatively normal renal function, increased cystatin C was associated with decreased CA progression (odd ratio [OR] = 0.65, 95% confidence interval 0.44–0.96, P= 0.029) after adjustment, primarily due to adjustment for body mass index (BMI). Removal of BMI from this model resulted in a 49% change in the OR.Conclusions:Our hypothesis-generating data suggest a complex relationship among cystatin C, BMI, and CA progression that requires further study. [ABSTRACT FROM AUTHOR]

AbstractBackground:In this study we sought to validate urinary biomarkers for diabetes and two common complications, coronary artery disease (CAD) and diabetic nephropathy (DN).Methods:A CAD score calculated by summing the product of a classification coefficient and signal amplitude of 15 urinary polypeptides was previously developed. Five sequences of biomarkers in the panel were identified as fragments of collagen α-1(I) and α-1(III). Prospectively collected urine samples available for analysis from 19 out of 20 individuals with CAD (15 with type 1 diabetes [T1D] and four without diabetes) and age-, sex-, and diabetes-matched controls enrolled in the Coronary Artery Calcification in Type 1 Diabetes study were analyzed for the CAD score using capillary electrophoresis and electrospray ionization mass spectrometry. Two panels of biomarkers that were previously defined to distinguish diabetes status were analyzed to determine their relationship to T1D. Three biomarker panels developed to distinguish DN (DNS) and two biomarker panels developed to distinguish renal disease (RDS) were examined to determine their relationship with renal function.Results:The CAD score was associated with CAD (odds ratio with 95 confidence interval, 2.2 [1.3–5.2]; P 0.0016) and remained significant when adjusted individually for age, albumin excretion rate (AER), blood pressure, waist circumference, intraabdominal fat, glycosylated hemoglobin, and lipids. DNS and RDS were significantly correlated with AER, cystatin C, and serum creatinine. The biomarker panels for diabetes were both significantly associated with T1D status (P< 0.05 for both).Conclusions:We validated a urinary proteome pattern associated with CAD and urinary proteome patterns associated with T1D and DN. [ABSTRACT FROM AUTHOR]

Low levels of adiponectin have been related to coronary heart disease, but adiponectin is higher in persons with type 1 diabetes who have an increased rate of coronary disease. In the Coronary Artery Calcification in Type 1 Diabetes Study (2000–2002), the authors investigated potential determinants of elevated adiponectin levels in persons with type 1 diabetes and whether a difference exists compared with nondiabetic persons. Serum adiponectin was measured in 1,393 persons (sex: 48% male; age: 38 (standard deviation: 9) years; diabetes duration: 23 (standard deviation: 9) years; 54% nondiabetic and 46% with type 1 diabetes). Determinants of log-transformed adiponectin levels were evaluated by multiple linear regression analysis with interaction terms to determine whether predictors of adiponectin levels differed by diabetes status. Adiponectin levels were higher in type 1 diabetic than nondiabetic persons (13.5 (standard deviation: 1.0) vs. 8.8 (standard deviation: 1.0) μg/ml; p < 0.0001), adjusting for age, gender, body mass index, and glomerular filtration rate. The final regression model explained 67% of the difference in adiponectin levels between type 1 diabetic and nondiabetic persons. The variables explaining this difference included high density lipoprotein cholesterol, albumin excretion rate, plasminogen activator inhibitor-1, and hemoglobin A1c level. Adiponectin is higher in type 1 diabetic than nondiabetic persons. Although some of the difference can be explained, further study is needed to better understand the relation between elevated adiponectin levels and patient outcomes, including coronary heart disease. [ABSTRACT FROM AUTHOR]