Gender differences in the association of C-reactive protein with coronary artery calcium in type-2 diabetes.

OBJECTIVES: Plasma C-reactive protein (CRP) is associated with cardiovascular disease (CVD), but effects may vary by gender and degree of CVD risk. Whether CRP has value as a CVD risk marker in type-2 diabetes (T2DM) is unclear. We examined whether CRP has gender differences in association with coronary artery calcium (CAC) in diabetic and nondiabetic samples without clinical CVD. METHODS: We performed cross-sectional analyses of gender influence on CRP association with CAC in the Penn Diabetes Heart Study (N = 1299 with T2DM), the Study of Inherited Risk of Coronary Atherosclerosis (N = 860 nondiabetic subjects) and a combined sample. RESULTS: Female gender was associated with higher plasma CRP in diabetic and nondiabetic samples after adjustment for covariates. There was a strong interaction by gender in the association of CRP with CAC (interaction P < 0·001). In diabetic women, CRP was associated with higher CAC even after further adjustment for age, race, medications, metabolic syndrome, Framingham risk score and body mass index [Tobit ratio 1·60, 95% CI (1·03-2·47)]. Although this relationship was attenuated in nondiabetic women, the combined sample maintained this association in fully adjusted models [1·44, 95% CI (1·13-1·83)]. There was no association of CRP with CAC in either diabetic or nondiabetic men. CONCLUSIONS: CRP may be a useful marker of cardiovascular risk in women, particularly in diabetic women who otherwise have no known CVD. Prospective studies are needed to better assess the gender differences in CRP utility and the use of CRP in T2DM.

Measurement of waist circumference predicts coronary atherosclerosis beyond plasma adipokines.

OBJECTIVE: The association of plasma adipokines beyond waist circumference (WC) with coronary artery calcification (CAC), a measure of subclinical atherosclerosis, is unknown. DESIGN AND METHODS: Asymptomatic Caucasian individuals from two community-based cross-sectional studies (n = 1,285) were examined and multivariate analysis of traditional risk factors was performed, then WC and adipokines (adiponectin and leptin) were added. Incremental value of each was tested with likelihood ratio testing. RESULTS: Beyond traditional risk factors, WC (Tobit regression ratio 1.69, P < 0.001) and plasma leptin (1.57, P < 0.001) but not plasma adiponectin (P = 0.75) were independently associated with CAC. In nested models, neither adiponectin (χ(2) = 0.76, P = 0.38) nor leptin (χ(2) = 1.32, P = 0.25) added value to WC beyond traditional risk factors, whereas WC added incremental value to adiponectin (χ(2) = 28.02, P < 0.0001) and leptin (χ(2) = 13.58, P = 0.0002). CONCLUSION: In the face of important biomarkers such as plasma adiponectin and leptin, WC remained a significant predictor of CAC beyond traditional risk factors underscoring the importance of WC measurement during cardiovascular risk assessment.

Usefulness of insulin resistance estimation and the metabolic syndrome in predicting coronary atherosclerosis in type 2 diabetes mellitus.

Metabolic syndrome (MS) definitions predict cardiovascular events beyond traditional risk factors in patients with type 2 diabetes mellitus (DM) as well as subjects without DM. It has been shown that apolipoprotein B (apoB) and non-high-density lipoprotein cholesterol are associated with coronary artery calcification in DM. However, the relative value of MS, apoB lipoproteins, and estimates of insulin resistance is unknown in predicting atherosclerosis in DM. Cross-sectional analyses of white subjects in 2 community-based studies were performed (n = 611 patients with DM, n = 803 subjects without DM) using multivariate analysis of traditional risk factors and then adding MS, apoB, and homeostasis model assessment of insulin resistance (HOMA-IR). Incremental value was tested using likelihood ratio testing. Beyond traditional risk, HOMA-IR (tobit regression ratio 1.86, p = 0.002), apoB (tobit regression ratio 1.55, p = 0.001), and MS (tobit regression ratio 2.37, p = 0.007) were independently associated with coronary artery calcification in DM. In nested models, HOMA-IR added value to apoB (tobit regression ratio 1.72, p = 0.008), MS (tobit regression ratio 1.72, p = 0.011), and apoB and MS (tobit regression ratio 1.64, p = 0.021). ApoB showed a similar pattern when added to HOMA-IR (tobit regression ratio 1.51, p = 0.004), MS (tobit regression ratio 1.46, p = 0.005), and HOMA-IR and MS (tobit regression ratio 1.48, p = 0.006). MS added to apoB (tobit regression ratio 1.99, p = 0.032) but not HOMA-IR (tobit regression ratio 1.54, p = 0.221) or apoB and HOMA-IR (tobit regression ratio 1.32, p = 0.434). In conclusion, insulin resistance estimates add value to MS and apoB in predicting coronary artery calcification scores in DM and warrant further evaluation in clinic for identification of patients with DM at higher risk for atherosclerotic cardiovascular disease.

Comparison of high-density lipoprotein cholesterol to apolipoprotein A-I and A-II to predict coronary calcium and the effect of insulin resistance.

High-density lipoprotein (HDL) cholesterol and its apolipoproteins each capture unique lipid and cardiometabolic information important to risk quantification. It was hypothesized that metabolic factors, including insulin resistance and type 2 diabetes, would confound the association of HDL cholesterol with coronary artery calcification (CAC) and that apolipoprotein A-I (apoA-I) and/or apolipoprotein A-II (apoA-II) would add to HDL cholesterol in predicting CAC. Two community-based cross-sectional studies of white subjects were analyzed: the Penn Diabetes Heart Study (PDHS; n = 611 subjects with type 2 diabetes, 71.4% men) and the Study of Inherited Risk of Coronary Atherosclerosis (SIRCA; n = 803 subjects without diabetes, 52.8% men) using multivariable analysis of apoA-I, apoA-II, and HDL cholesterol stratified by diabetes status. HDL cholesterol was inversely associated with CAC after adjusting for age and gender in whites with type 2 diabetes (tobit ratio for a 1-SD increase in HDL cholesterol 0.58, 95% confidence interval [CI] 0.44 to 0.77, p <0.001) as well as those without diabetes (tobit ratio 0.72, 95% CI 0.59 to 0.88, p = 0.001). In contrast, apoA-I was a weaker predictor in subjects with (tobit ratio 0.64, 95% CI 0.45 to 0.90, p = 0.010) and without (tobit ratio 0.79, 95% CI 0.66 to 0.94, p = 0.010) diabetes, while apoA-II had no association with CAC. Control for metabolic variables, including triglycerides, waist circumference, and homeostasis model assessment of insulin resistance, attenuated these relations, particularly in subjects without diabetes. In likelihood ratio test analyses, HDL cholesterol added to apoA-I, apoA-II, and atherogenic apolipoprotein B lipoproteins but improved CAC prediction over metabolic factors only in subjects with diabetes. In conclusion, HDL cholesterol outperformed apoA-I and apoA-II in CAC prediction, but its association with CAC was attenuated by measures of insulin resistance.

Type 2 diabetes does not attenuate racial differences in coronary calcification.

AIMS: Coronary artery calcification (CAC) is a strong predictor of atherosclerotic cardiovascular disease (CVD). Whites appear to have a higher prevalence of CAC than African-Americans (AAs), but it is unknown if type 2 diabetes, a major cardiovascular risk factor, attenuates this difference. We investigated the relationship of race and CAC in a sample of patients with type 2 diabetes without clinical CVD. METHODS: multivariable analyses of self-reported ethnicity and CAC scores, stratified by gender, in 861 subjects [32% AA, 66.9% male] with type 2 diabetes. RESULTS: AA race was associated with lower CAC scores in age-adjusted models in males [Tobit ratio for AAs vs. Whites 0.14 (95% CI 0.08-0.24, p<0.001)] and females [Tobit ratio 0.26 (95% CI 0.09-0.77, p=0.015)]. This persisted in men after adjustment for traditional, metabolic and inflammatory risk factors, but adjustment for plasma triglycerides [0.48 (95% CI 0.15-1.49, p=0.201)] and HOMA-IR [0.28 (95% CI 0.08-1.03, p=0.055)] partially attenuated the association in women. CONCLUSIONS: relative to African-Americans, White race is a strong predictor of CAC, even in the presence of type 2 diabetes. The relationship in women appears less robust possibly due to gender differences in metabolic risk factors.