Relationship between plasma fenofibric acid levels and the effect of micronized fenofibrate on cholesterol, low-density-lipoprotein cholesterol and apolipoprotein B in patients with primary hypercholesterolemia

1997 ◽  
Vol 52 (2) ◽  
pp. 101-106 ◽  
Author(s):  
K. Rašlová ◽  
D. Dubovská ◽  
V. Mongiellová ◽  
T. Trnovec
Keyword(s):  
Apolipoprotein B ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Fenofibric Acid ◽  
Low Density Lipoprotein Cholesterol ◽  
Primary Hypercholesterolemia ◽  
Micronized Fenofibrate

Abstract 5054: Apolipoprotein B, but not Low-Density Lipoprotein Cholesterol is Associated with Coronary Atherosclerosis Beyond Total Cholesterol in Diabetics and Non-Diabetics

Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Seth S Martin ◽  
Atif N Qasim ◽  
Daniel J Rader ◽  
Muredach P Reilly
Keyword(s):  
Total Cholesterol ◽  
Apolipoprotein B ◽  
Coronary Atherosclerosis ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Type 2 Diabetics

Introduction: Accumulating evidence suggests that apolipoprotein B (apoB) is superior to low-density lipoprotein cholesterol (LDL-C) in prediction of cardiovascular events. Yet, an important outstanding question is whether apoB, relative to LDL, is an enhanced marker for subclinical atherosclerosis, particularly in diabetics where LDL levels may underestimate atherogenic lipid burden due to increased proportion of small, dense LDL. Hypothesis: We hypothesized that plasma apoB would be a better predictor than LDL-C of coronary artery calcification (CAC) scores in type 2 diabetics and non-type 2 diabetics. Methods: We performed cross-sectional analyses of asymptomatic Caucasians in (1) The Study of Inherited Risk of Coronary Atherosclerosis (434 men and 383 women; median age 48, non-diabetics) and (2) The Penn Diabetes Heart Study (580 men and 261 women; median age 60, type 2 diabetics). Results: Levels of apoB and LDL-C were correlated in diabetics (r=0.78, p<0.001) and non-diabetics (r=0.77, p<0.001). There was no association between LDL-C and CAC in diabetics. In non-diabetics, an association of LDL-C was lost after adjustment for total cholesterol. In contrast, after controlling for age, gender, statin therapy, and total cholesterol, levels of apoB were positively associated with CAC in diabetics [tobit regression ratio for 30 mg/dl increase in apoB 2.94 (95% CI 1.62 – 5.53), p=0.001) and had a more modest association with CAC in non-diabetics [1.67 (95% CI 1.16 – 2.32), p=0.005]. Conclusions: ApoB, but not LDL-C, predicted CAC scores, a measure of coronary atherosclerotic burden. The strength of this association was greater in diabetics than non-diabetics. Relative to LDL-C, plasma apoB levels may be particularly useful in assessing CVD risk in type 2 diabetes.

scholarly journals Association of the Apolipoprotein B/Apolipoprotein A-I Ratio, Metabolic Syndrome Components, Total Cholesterol, and Low-Density Lipoprotein Cholesterol with Insulin Resistance in the Population of Georgia

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Zaza Makaridze ◽  
Elene Giorgadze ◽  
Ketevan Asatiani
Keyword(s):  
Metabolic Syndrome ◽  
Apolipoprotein B ◽  
Regression Models ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Apolipoprotein A ◽  
Multiple Regression Models

The study was designed to assess the association between insulin resistance (IR) and apolipoprotein B/apolipoprotein A-I ratio (ApoB/ApoA-I ratio), metabolic syndrome (MetS) components, total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C) in the nondiabetic population of Georgia. The subjects were 1522 Georgians of Caucasian origin (mean age = 45 years, 653 women) without diabetes who had visited the clinics for a related health checkup between 2012 and 2013. IR was calculated using the computer homeostasis model assessment (HOMA2-IR) and was defined as the upper quartile. MetS was diagnosed using the updated ATP-III definition of the metabolic syndrome. Logistic and multiple regression models were used to estimate the association between IR and other components. IR was positively correlated with age, ApoB, ApoB/ApoA-I ratio, MetS components (excluding high-density lipoprotein cholesterol—HDL-C), LDL-C, fasting insulin, and TC and negatively correlated with HDL-C and ApoA-I in both sexes (allP<0.001). In the logistic regression models, gender, age, ApoB/ApoA-I ratio, diastolic pressure, HDL-C, LDL-C, fasting glucose, and triglycerides were the covariates significantly associated with IR (OR: 8.64, 1.03, 17.95, 1.06, 0.13, 1.17, 3.75, and 2.29, resp.; allP<0.05). Multiple regression models demonstrated that these components (except for HDL-C) made an independent contribution to the prediction of HOMA2 (allP<0.05).

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