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Factors Influencing the Low Density Lipoprotein Profile in Type 2 Diabetic Patients
Author(s) -
James R. W.,
Marini M.,
Ruiz J.,
Pometta D.
Publication year - 1995
Publication title -
diabetic medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.474
H-Index - 145
eISSN - 1464-5491
pISSN - 0742-3071
DOI - 10.1111/j.1464-5491.1995.tb02064.x
Subject(s) - medicine , endocrinology , low density lipoprotein , diabetes mellitus , lipoprotein , stepwise regression , univariate analysis , cholesterol , ldl cholesterol , lipid profile , apolipoprotein b , type 2 diabetes , multivariate analysis
The lipoprotein distribution profile was examined in Type 2 (non‐insulin‐dependent) diabetic patients ( n = 52), with particular emphasis on factors influencing low density lipoproteins (LDL). Triglycerides were negatively correlated with LDL‐2 ( r = 0.34, p < 0.05) and positively correlated with smaller, denser LDL‐3 ( r = 0.57, p < 0.001). This yielded a highly significant, negative correlation between triglycerides and the LDL‐2/LDL‐3 mass ratio ( r = ‐0.59, p < 0.001) which is an indication of the presence of smaller LDL particles. Parameters of glycaemic control, in the form of fasting blood sugar and glycated haemoglobin (HbA 1c ), were also negatively correlated with the LDL‐2/LDL‐3 mass ratio in univariate analyses; both remained significantly correlated with the mass ratio when corrected for triglycerides. Stepwise multiple regression analysis identified a three‐parameter model comprising triglycerides, HbA 1c , and high density lipoprotein cholesterol as best defining the variations in the LDL‐2/LDL‐3 mass ratio (adjusted r 2 = 0.52). These observations are consistent with an independent impact of diabetes on the LDL distribution profile and the possibility that the latter may be subjected to multiple pathological influences in diabetic patients.