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Fabian Eichelmann Department of Epidemiology, Nutrition, Immunity and Metabolism Start-up Lab, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany

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Cornelia Weikert Department of Food Safety, Federal Institute for Risk Assessment
Institute for Social Medicine, Epidemiology and Health Economics, Charité University Medical Center, Berlin, Germany

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Romina di Giuseppe Institute of Epidemiology, Christian-Albrechts University Kiel, Kiel, Germany

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Ronald Biemann Department for Clinical Chemistry and Pathobiochemistry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany

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Berend Isermann Department for Clinical Chemistry and Pathobiochemistry, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany

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Matthias B Schulze Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
German Center of Diabetes Research (DZD), München-Neuherberg, Germany

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Heiner Boeing Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany

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Krasimira Aleksandrova Department of Epidemiology, Nutrition, Immunity and Metabolism Start-up Lab, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany

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Chemerin is a recently discovered adipokine with inflammatory and metabolic actions relevant for chronic disease development. However, evidence from human research on the role of chemerin in chronic disease risk is still lacking. We assessed the reliability of plasma chemerin concentrations measured on two occasions over a 4-month period in 207 apparently healthy participants. In addition, we explored the cross-sectional associations between chemerin and inflammatory biomarkers using Spearman partial correlation and multivariable linear regression analyses. Intra-individual reproducibility of chemerin measurements was assessed by calculating intraclass correlation coefficients (ICCs) and exploration of Bland–Altman plots. Reliability analyses revealed good reproducibility of chemerin measurements (ICC: 0.72 (95%-CI 0.65, 0.78)). Visual inspection of Bland–Altman plots confirmed that the two time point measurements had a high level of agreement. In correlation analyses, chemerin was positively correlated with adiposity measures (body mass index and waist circumference). In addition, independent of adiposity measures, chemerin was correlated with the biomarkers C-reactive protein, fatty acid-binding protein 4 and progranulin (Rho-s ranging from 0.23 to 0.37). In multivariable linear regression analysis, a combination of correlated factors including body mass index, waist circumference, C-reactive protein, progranulin and fatty acid-binding protein-4 explained 28.0% of chemerin concentrations. These findings demonstrate methodological utility of chemerin concentrations in population-based research setting. Human studies are highly warranted in order to provide further insights into the role of chemerin as a biomarker linking immunity and metabolism in relation to chronic disease risk.

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