Association between Adipose Tissue Depots and Dyslipidemia: The KORA-MRI Population-Based Study.
Ricarda von KrüchtenRoberto LorbeerKatharina Müller-PeltzerSusanne RospleszczCorinna StorzEsther AskaniCharlotte KulkaChristopher SchuppertWolfgang RathmannAnnette PetersFabian BambergChristopher L SchlettBlerim MujajPublished in: Nutrients (2022)
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.
Keyphrases
- adipose tissue
- insulin resistance
- low density lipoprotein
- body mass index
- high fat diet
- cardiovascular events
- high density
- magnetic resonance imaging
- polycystic ovary syndrome
- risk factors
- cardiovascular disease
- weight gain
- contrast enhanced
- type diabetes
- machine learning
- coronary artery disease
- deep learning
- skeletal muscle
- mental health
- gene expression
- magnetic resonance
- high fat diet induced
- computed tomography
- diffusion weighted imaging