Abstract

Background: A defining feature of diabetic dyslipidemia is elevation of triglyceride-rich lipoproteins, particularly remnant lipoprotein cholesterol (RLP-C). Lowering these lipoproteins may reduce risk of atherosclerotic cardiovascular disease in diabetic patients, though the relationship between RLP-C and hyperglycemia as well as hyperinsulinemia remains inadequately characterized. The purpose of this study was to determine the association of RLP-C with serum glucose and insulin across a broad range of insulin resistance. Methods: We used a sample of individuals from the Very Large Database of Lipids with measured fasting serum glucose and insulin levels, as well as lipoprotein cholesterol levels measured by the Vertical Auto Profile test (Atherotech, Birmingham, AL). RLP-C was defined as the sum of VLDL 3 -C + IDL-C. The study population was divided into deciles of HOMA-IR, calculated as [Insulin х Glucose/405]. We performed multivariable linear regression models to determine associations of RLP-C with insulin and glucose after adjusting for age, sex, real LDL-C, triglycerides, AST, BUN and creatinine. Covariates not normally distributed were log-transformed. Analysis was performed in overall population and across HOMA-IR deciles. Results: We included a total of 146,826 individuals (43.6% male, mean age 54.9 ± 15.9 years). Median values were: insulin, 9 uU/mL; glucose, 95 mg/dL; RLP-C, 26 mg/dL. The models in our Table explained 60% of variance in RLP-C. Overall, insulin (β=-1.85, p<0.001) and glucose (β=-0.84, p<0.001) had significant negative associations with RLP-C. However, levels of RLP-C were significantly associated with insulin but not glucose across most HOMA-IR deciles (Table). Conclusion: RLP-C is significantly associated with levels of serum insulin but not with glucose across a spectrum of insulin resistance. Further characterization of the relationship between RLP-C and serum insulin is needed to help guide future therapies for patients with diabetes.

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