Romina di Giuseppe1, Manja Koch1,2, Sabrina Schlesinger1,3, Jan Borggrefe4, Marcus Both5, Hans-Peter Müller6, Jan Kassubek6, Gunnar Jacobs1,7, Ute Nöthlings8, Wolfgang Lieb1,7. 1. Institute of Epidemiology, Christian-Albrechts University of Kiel, Kiel, Germany. 2. Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA. 3. Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, Paddington, London, United Kingdom. 4. Institute of Radiological Diagnostics Köln, Cologne, Germany. 5. Department of Diagnostic Radiology, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany. 6. Department of Neurology, University of Ulm, Ulm, Germany. 7. Department of Nutrition and Food Sciences, University of Bonn, Bonn, Germany. 8. Biobank PopGen, University Hospital Schleswig-Holstein, Campus Kiel, Kiel, Germany.
Abstract
OBJECTIVE: Association studies of selenoprotein P (SELENOP) with cardiometabolic traits in humans are relatively scarce and, in part, conflicting. A general population sample from Northern Germany was evaluated for cross-sectional associations of circulating SELENOP concentrations with metabolic syndrome (MetS), total volumes of MRI-determined visceral (VAT) and subcutaneous (SAT) abdominal adipose tissue, liver signal intensity, and fatty liver disease (FLD). METHODS: Nine hundred and five participants received comprehensive clinical and molecular phenotyping along with measurement of serum SELENOP; 584 individuals received MRI. RESULTS: Multivariable-adjusted restricted cubic regression splines displayed statistically significant inverse relations of SELENOP levels with MetS, VAT, and SAT (P < 0.0001 for all). Compared with the second quartile of SELENOP distribution, the MetS odds ratios for the first, third, and fourth quartiles were 1.62 (95% confidence interval [CI]: 1.08-2.43), 0.85 (95% CI: 0.57-1.26), and 0.41 (95% CI: 0.27-0.62), respectively. Furthermore, participants in the second, third, and fourth SELENOP quartiles had significantly lower VAT and SAT volumes as compared to those in the first biomarker quartile. A J-shaped relation was observed for SELENOP levels and liver signal intensity/FLD (P = 0.01). CONCLUSIONS: The findings suggest inverse associations of circulating SELENOP concentrations with several metabolic traits, to be further investigated in longitudinal studies.
OBJECTIVE: Association studies of selenoprotein P (SELENOP) with cardiometabolic traits in humans are relatively scarce and, in part, conflicting. A general population sample from Northern Germany was evaluated for cross-sectional associations of circulating SELENOP concentrations with metabolic syndrome (MetS), total volumes of MRI-determined visceral (VAT) and subcutaneous (SAT) abdominal adipose tissue, liver signal intensity, and fatty liver disease (FLD). METHODS: Nine hundred and five participants received comprehensive clinical and molecular phenotyping along with measurement of serum SELENOP; 584 individuals received MRI. RESULTS: Multivariable-adjusted restricted cubic regression splines displayed statistically significant inverse relations of SELENOP levels with MetS, VAT, and SAT (P < 0.0001 for all). Compared with the second quartile of SELENOP distribution, the MetS odds ratios for the first, third, and fourth quartiles were 1.62 (95% confidence interval [CI]: 1.08-2.43), 0.85 (95% CI: 0.57-1.26), and 0.41 (95% CI: 0.27-0.62), respectively. Furthermore, participants in the second, third, and fourth SELENOP quartiles had significantly lower VAT and SAT volumes as compared to those in the first biomarker quartile. A J-shaped relation was observed for SELENOP levels and liver signal intensity/FLD (P = 0.01). CONCLUSIONS: The findings suggest inverse associations of circulating SELENOP concentrations with several metabolic traits, to be further investigated in longitudinal studies.
Authors: Romina di Giuseppe; Manja Koch; Ute Nöthlings; Gabi Kastenmüller; Anna Artati; Jerzy Adamski; Gunnar Jacobs; Wolfgang Lieb Journal: Endocrine Date: 2018-11-17 Impact factor: 3.633
Authors: Anna Baran; Julia Nowowiejska; Julita Anna Krahel; Tomasz W Kaminski; Magdalena Maciaszek; Iwona Flisiak Journal: Int J Mol Sci Date: 2020-06-28 Impact factor: 5.923
Authors: Alexey A Tinkov; Olga P Ajsuvakova; Tommaso Filippini; Ji-Chang Zhou; Xin Gen Lei; Eugenia R Gatiatulina; Bernhard Michalke; Margarita G Skalnaya; Marco Vinceti; Michael Aschner; Anatoly V Skalny Journal: Biomolecules Date: 2020-04-24