Relationship Between 12 Adipocytokines and Distinct Components of the Metabolic Syndrome
Open Access
- 9 January 2018
- journal article
- research article
- Published by The Endocrine Society in The Journal of Clinical Endocrinology & Metabolism
- Vol. 103 (3) , 1015-1023
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.Keywords
This publication has 32 references indexed in Scilit:
- Two Patterns of Adipokine and Other Biomarker Dynamics in a Long-Term Weight Loss InterventionDiabetes Care, 2012
- Adipokine Pattern in Subjects with Impaired Fasting Glucose and Impaired Glucose Tolerance in Comparison to Normal Glucose Tolerance and DiabetesPLOS ONE, 2010
- Insulin-sensitive obesityAmerican Journal of Physiology-Endocrinology and Metabolism, 2010
- Obesity Is a Fibroblast Growth Factor 21 (FGF21)-Resistant StateDiabetes, 2010
- Harmonizing the Metabolic SyndromeCirculation, 2009
- Chemerin is associated with markers of inflammation and components of the metabolic syndrome but does not predict coronary atherosclerosisEuropean Journal of Endocrinology, 2009
- Association of FTO variants with BMI and fat mass in the self-contained population of Sorbs in GermanyEuropean Journal of Human Genetics, 2009
- Serum FGF21 Levels Are Increased in Obesity and Are Independently Associated With the Metabolic Syndrome in HumansDiabetes, 2008
- Intra-individual Variation of Plasma Adipokine Levels and Utility of Single Measurement of These Biomarkers in Population-Based StudiesCancer Epidemiology, Biomarkers & Prevention, 2007
- Pvclust: an R package for assessing the uncertainty in hierarchical clusteringBioinformatics, 2006