AI Article Synopsis

  • The study investigates the relationship between visceral fat accumulation and serum lipoprotein subclasses in 62 male participants with visceral fat syndrome or obesity.
  • Findings show a significant positive correlation between visceral fat and levels of VLDL and LDL subclasses, while large HDL subclasses had a negative correlation with visceral fat.
  • The research suggests that high-performance liquid chromatography is a useful method for detecting and evaluating abnormal distributions of lipoprotein subclasses related to visceral fat.

Article Abstract

Objective: The contribution of visceral fat accumulation to the development of coronary heart disease was previously reported, but the relation between visceral fat accumulation and serum lipoprotein subclasses was unknown.

Methods And Results: We examined the relation of lipoprotein subclasses with visceral fat accumulation in 62 male subjects (aged 22 to 67 years) with visceral fat syndrome or obesity. Cholesterol levels in very low-density, low-density, and high-density lipoprotein subclasses (VLDL, LDL, and HDL) were determined by computer-assisted high-performance liquid chromatography. Subcutaneous fat area and visceral fat area were measured by computed tomographic scanning. There was no significant correlation between the subcutaneous fat area and the cholesterol levels in all lipoprotein subclasses. In contrast, the visceral fat area was correlated positively (P<0.002) with VLDL and LDL subclasses, except for large LDL, but negatively (P<0.001) with those in large and medium HDL subclasses. The observed positive correlations of small and very small LDL subclasses remained significant (P<0.005) after adjustment for serum cholesterol, triglycerides, HDL cholesterol, and LDL cholesterol, respectively, but a significant negative correlation (P<0.005) of large LDL was obtained after adjustment for LDL cholesterol.

Conclusions: These findings indicate that this simple high-performance liquid chromatography method may be applied for easy detection and evaluation of abnormal distribution of lipoprotein subclasses.

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Source
http://dx.doi.org/10.1161/01.ATV.0000155017.60171.88DOI Listing

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