Abstract | BACKGROUND:
Adipokines are hormones secreted from adipose tissue (AT), and a number of them have been established as risk factors for chronic diseases. However, it is not clear whether and to what extent adiposity, gene expression, and other factors determine their circulating levels. OBJECTIVES: METHODS: We performed a cross-sectional analysis of 156 participants from the EPIC Potsdam cohort study and analyzed multiple regression models and partial correlation coefficients. RESULTS: For leptin and FABP4 concentrations, 81 and 45% variance were explained by SAT mass, VAT mass, and gene expression in SAT in multivariable regression models. For the remaining adipokines, AT mass and gene expression explained <16% variance of plasma concentrations. Gene expression in SAT was a less important predictor compared to AT mass. SAT mass was a better predictor than VAT mass for leptin (partial correlation r = 0.81, 95% confidence interval 0.75-0.86, vs. r = 0.58, 95% confidence interval 0.46-0.67), while differences between AT compartments were small for the other adipokines. CONCLUSIONS: While plasma levels of leptin and FABP4 can be explained in a large and medium part by the amount of AT and SAT gene expression, surprisingly, these predictors explained only little variance for all other investigated adipokines.
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Authors | Stefan Konigorski, Jürgen Janke, Dagmar Drogan, Manuela M Bergmann, Johannes Hierholzer, Rudolf Kaaks, Heiner Boeing, Tobias Pischon |
Journal | Obesity facts
(Obes Facts)
Vol. 12
Issue 6
Pg. 590-605
( 2019)
ISSN: 1662-4033 [Electronic] Switzerland |
PMID | 31698359
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Copyright | © 2019 The Author(s) Published by S. Karger AG, Basel. |
Chemical References |
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Topics |
- Adipokines
(blood, genetics)
- Adipose Tissue
(diagnostic imaging, metabolism, pathology)
- Adiposity
(physiology)
- Adult
- Aged
- Body Fat Distribution
(methods)
- Cohort Studies
- Cross-Sectional Studies
- Female
- Gene Expression
- Humans
- Intra-Abdominal Fat
(diagnostic imaging, metabolism, pathology)
- Magnetic Resonance Imaging
- Male
- Middle Aged
- Subcutaneous Fat
(diagnostic imaging, metabolism, pathology)
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