Autor:innen:
S. Zylla (Greifswald, DE)
B. Spindler (Greifswald, DE)
A. Hannemann (Greifswald, DE)
H. Völzke (Greifswald, DE)
M. Dörr (Greifswald, DE)
M. Nauck (Greifswald, DE)
N. Friedrich (Greifswald, DE)
Introduction: Various cross-sectional studies have observed associations of the adipokines chemerin and adiponectin with the clinically most established lipid parameters total cholesterol, HDL-cholesterol, LDL-cholesterol, and total triglycerides. However, the lipids examined in these studies are heterogeneous with respect to size, density, and chemical composition and further separation of lipoproteins in subclasses could help to elucidate the complex interaction between adipokines and lipid metabolism. Therefore, this study aimed to analyze the associations of adiponectin and chemerin with lipoprotein subclasses in a population-based study.
Methods: Lipoprotein subclasses were determined by nuclear magnetic resonance (NMR) spectroscopy in samples from 3286 participants of the Study of Health in Pomerania (SHIP-TREND-0). The associations between adiponectin/chemerin (exposure) and lipoprotein subclasses (outcome) were analyzed using linear regression models, adjusting for necessary confounders and multiple testing.
Results: The analyses revealed a broad range of significant associations between adiponectin/chemerin and lipoprotein subclasses. When comparing the results between adiponectin and chemerin, it became obvious that the associations are usually in opposite directions (exceptions: content of cholesterol, Apo-A1, Apo-A2 in HDL-4). In general, high adiponectin concentrations were associated with a favorable lipid profile, whereas high chemerin concentrations were linked to an unfavorable lipid profile. Interestingly, the direction of the associations between adipokines and cholesterol, triglycerides, and Apo-B content across LDL-subfractions changed with increasing density and corresponding decreasing size of the LDL-particles. In different subpopulations, the detected regression results were quite stable. For chemerin, the effects seem to be primarily driven by disease (diabetes, hypertension, cardiovascular diseases, cancer, respiratory diseases, thyroid diseases, renal diseases) and obesity, whereas for adiponectin, effects were largely independent of the health status.
Conclusion: Compared to the clinically most established lipid parameters, the present analysis of lipid subclasses provides a more accurate picture of the relationships between adipokines and lipid metabolism. Overall, we observed that a high chemerin concentration was associated with an unfavorable and atherogenic lipoprotein subclass profile, whereas for high adiponectin concentration the opposite was observed.