Association between Adipose Tissue Depots and Dyslipidemia: The KORA-MRI Population-Based Study

Nutrients. 2022 Feb 14;14(4):797. doi: 10.3390/nu14040797.

Abstract

Obesity increases the risk of cardiovascular diseases (CVD), however, whether adipose tissue relates to dyslipidemia, and consequently to cardiovascular events remains unknown. Thus, we investigated the association of adipose tissue with circulating lipoproteins and triglycerides (TG) in subjects without CVD. 384 participants from the KORA-MRI study (mean age 56.2 ± 9.2 years; 41.9% female) underwent whole-body 3T-MRI. Visceral (VAT) and subcutaneous adipose tissue (SAT) derived from T1-DIXON-sequence using a semi-automatic algorithm. Total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and TG were measured. Linear regression was applied to examine the relationships between adipose tissue, circulating lipoproteins, and TG, adjusting for risk factors. VAT was associated with total cholesterol (per SD increase) (ß = 0.39, p < 0.001). Total adipose tissue (TAT) and VAT were inversely associated with HDL (ß = -0.09, p = 0.009; ß = -0.14, p < 0.001), and positively associated with LDL (ß = 0.32, p < 0.001; ß = 0.37, p < 0.001). All adipose tissues were associated with TG (ß = 0.20, p < 0.001; ß = 0.27, p < 0.001; ß = 0.11, p = 0.004). Stratified analysis by sex and body mass index (BMI) was confirmatory in women and in individuals with BMI < 30. Our results suggest that adipose tissue plays an important role in increasing CVD risk independent of BMI, whereas gender imbalance may be explained by accurate characterization and quantification of adipose tissue.

Keywords: HDL-cholesterol; LDL-cholesterol; adipose tissue; magnetic resonance imaging; population-based cohort; total cholesterol; triglycerides.

MeSH terms

  • Adipose Tissue / diagnostic imaging
  • Aged
  • Body Mass Index
  • Dyslipidemias* / epidemiology
  • Female
  • Humans
  • Intra-Abdominal Fat* / diagnostic imaging
  • Magnetic Resonance Imaging
  • Male
  • Middle Aged
  • Subcutaneous Fat / diagnostic imaging