Thomas Ebert1,2, Claudia Gebhardt1, Markus Scholz3,4, Tobias Wohland2, Dorit Schleinitz2, Mathias Fasshauer1,2, Matthias Blüher1, Michael Stumvoll1, Peter Kovacs2, Anke Tönjes1. 1. University of Leipzig, Department of Endocrinology and Nephrology, Leipzig, Germany. 2. Leipzig University Medical Center, Integrated Research and Treatment Center (IFB) AdiposityDiseases, Leipzig, Germany. 3. Institute of Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany. 4. Leipzig Research Centre for Civilization Diseases (LIFE), University of Leipzig, Leipzig, Germany.
Abstract
Objective: Adipose tissue-derived signals potentially link obesity and adipose tissue dysfunction with metabolic and cardiovascular diseases. Although some adipocytokines have been closely related to metabolic and cardiovascular traits, it is unknown which adipocytokine or adipocytokine clusters serve as meaningful markers of metabolic syndrome (MS) components. Therefore, this study investigated the associations of 12 adipocytokines with components of the MS to identify the most relevant cytokines potentially related to specific metabolic profiles. Research Design and Methods: Twelve cytokines [adiponectin, adipocyte fatty acid-binding protein (AFABP), angiopoietin-related growth factor, chemerin, fibroblast growth factor (FGF) 19, FGF21, FGF23, insulin-like growth factor-1, interleukin 10, irisin, progranulin, and vaspin] were quantified in a cross-sectional cohort of 1046 subjects. Hypothesis-free cluster analysis, multivariate regression analyses with parameters of the MS, and discriminant analysis were performed to assess associations and the relative importance of each cytokine for reflecting MS and its components. Results: Among the studied adipocytokines, adiponectin, AFABP, chemerin, and FGF21 showed the strongest associations with MS and several MS components in discriminant analyses and multiple regression models. For certain metabolic components, these adipocytokines were better discriminators than routine metabolic markers. Other cytokines investigated in the present cohort are less able to distinguish between metabolically healthy and unhealthy subjects. Conclusions: Adiponectin, AFABP, chemerin, and FGF21 showed the strongest associations with MS components in a general population, suggesting that adverse adipose tissue function is a major contributor to these metabolic abnormalities. Future prospective studies should address the question whether these adipocytokines can predict the development of metabolic disease states.
Objective: Adipose tissue-derived signals potentially link obesity and adipose tissue dysfunction with metabolic and cardiovascular diseases. Although some adipocytokines have been closely related to metabolic and cardiovascular traits, it is unknown which adipocytokine or adipocytokine clusters serve as meaningful markers of metabolic syndrome (MS) components. Therefore, this study investigated the associations of 12 adipocytokines with components of the MS to identify the most relevant cytokines potentially related to specific metabolic profiles. Research Design and Methods: Twelve cytokines [adiponectin, adipocyte fatty acid-binding protein (AFABP), angiopoietin-related growth factor, chemerin, fibroblast growth factor (FGF) 19, FGF21, FGF23, insulin-like growth factor-1, interleukin 10, irisin, progranulin, and vaspin] were quantified in a cross-sectional cohort of 1046 subjects. Hypothesis-free cluster analysis, multivariate regression analyses with parameters of the MS, and discriminant analysis were performed to assess associations and the relative importance of each cytokine for reflecting MS and its components. Results: Among the studied adipocytokines, adiponectin, AFABP, chemerin, and FGF21 showed the strongest associations with MS and several MS components in discriminant analyses and multiple regression models. For certain metabolic components, these adipocytokines were better discriminators than routine metabolic markers. Other cytokines investigated in the present cohort are less able to distinguish between metabolically healthy and unhealthy subjects. Conclusions: Adiponectin, AFABP, chemerin, and FGF21 showed the strongest associations with MS components in a general population, suggesting that adverse adipose tissue function is a major contributor to these metabolic abnormalities. Future prospective studies should address the question whether these adipocytokines can predict the development of metabolic disease states.
Authors: Thiago Gagliano-Jucá; M Furkan Burak; Karol M Pencina; Zhuoying Li; Robert R Edwards; Thomas G Travison; Shehzad Basaria Journal: J Clin Endocrinol Metab Date: 2018-10-01 Impact factor: 5.958
Authors: Stephanie W Watts; Emma S Darios; Adam E Mullick; Hannah Garver; Thomas L Saunders; Elizabeth D Hughes; Wanda E Filipiak; Michael G Zeidler; Nichole McMullen; Christopher J Sinal; Ramya K Kumar; David J Ferland; Gregory D Fink Journal: FASEB J Date: 2018-06-15 Impact factor: 5.191
Authors: Thomas Ebert; Sven-Christian Pawelzik; Anna Witasp; Samsul Arefin; Sam Hobson; Karolina Kublickiene; Paul G Shiels; Magnus Bäck; Peter Stenvinkel Journal: Toxins (Basel) Date: 2020-04-04 Impact factor: 4.546