Lars Lind1, Samira Salihovic2, Ulf Risérus3, Joel Kullberg4,5, Lars Johansson4, Håkan Ahlström4,5, Jan W Eriksson1, Jan Oscarsson6. 1. Department of Medical Sciences, Uppsala University, Uppsala, Sweden. 2. School of Medical Sciences, Örebro University, Örebro, Sweden. 3. Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden. 4. Antaros Medical AB, Gothenburg, Sweden. 5. Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden. 6. BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Abstract
CONTEXT: Metabolic differences between ectopic fat depots may provide novel insights to obesity-related diseases. OBJECTIVE: To investigate the plasma metabolomic profiles in relation to visceral adipose tissue (VAT) volume and liver and pancreas fat percentages. DESIGN: Cross-sectional. SETTING: Multicenter at academic research laboratories. PATIENTS: Magnetic resonance imaging (MRI) was used to assess VAT volume, the percentage of fat in the liver and pancreas (proton density fat fraction [PDFF]) at baseline in 310 individuals with a body mass index ≥ 25 kg/m2 and with serum triglycerides ≥ 1.7 mmol/l and/or type 2 diabetes screened for inclusion in the 2 effect of omega-3 carboxylic acid on liver fat content studies. INTERVENTION: None. MAIN OUTCOME MEASURE: Metabolomic profiling with mass spectroscopy enabled the determination of 1063 plasma metabolites. RESULTS: Thirty metabolites were associated with VAT volume, 31 with liver PDFF, and 2 with pancreas PDFF when adjusting for age, sex, total body fat mass, and fasting glucose. Liver PDFF and VAT shared 4 metabolites, while the 2 metabolites related to pancreas PDFF were unique. The top metabolites associated with liver PDFF were palmitoyl-palmitoleoyl-GPC (16:0/16:1), dihydrosphingomyelin (d18:0/22:0), and betaine. The addition of these metabolites to the Liver Fat Score improved C-statistics significantly (from 0.776 to 0.861, P = 0.0004), regarding discrimination of liver steatosis. CONCLUSION: Liver PDFF and VAT adipose tissue shared several metabolic associations, while those were not shared with pancreatic PDFF, indicating partly distinct metabolic profiles associated with different ectopic fat depots. The addition of 3 metabolites to the Liver Fat Score improved the prediction of liver steatosis.
CONTEXT: Metabolic differences between ectopic fat depots may provide novel insights to obesity-related diseases. OBJECTIVE: To investigate the plasma metabolomic profiles in relation to visceral adipose tissue (VAT) volume and liver and pancreas fat percentages. DESIGN: Cross-sectional. SETTING: Multicenter at academic research laboratories. PATIENTS: Magnetic resonance imaging (MRI) was used to assess VAT volume, the percentage of fat in the liver and pancreas (proton density fat fraction [PDFF]) at baseline in 310 individuals with a body mass index ≥ 25 kg/m2 and with serum triglycerides ≥ 1.7 mmol/l and/or type 2 diabetes screened for inclusion in the 2 effect of omega-3 carboxylic acid on liver fat content studies. INTERVENTION: None. MAIN OUTCOME MEASURE: Metabolomic profiling with mass spectroscopy enabled the determination of 1063 plasma metabolites. RESULTS: Thirty metabolites were associated with VAT volume, 31 with liver PDFF, and 2 with pancreas PDFF when adjusting for age, sex, total body fat mass, and fasting glucose. Liver PDFF and VAT shared 4 metabolites, while the 2 metabolites related to pancreas PDFF were unique. The top metabolites associated with liver PDFF were palmitoyl-palmitoleoyl-GPC (16:0/16:1), dihydrosphingomyelin (d18:0/22:0), and betaine. The addition of these metabolites to the Liver Fat Score improved C-statistics significantly (from 0.776 to 0.861, P = 0.0004), regarding discrimination of liver steatosis. CONCLUSION: Liver PDFF and VAT adipose tissue shared several metabolic associations, while those were not shared with pancreatic PDFF, indicating partly distinct metabolic profiles associated with different ectopic fat depots. The addition of 3 metabolites to the Liver Fat Score improved the prediction of liver steatosis.
Authors: Jan Oscarsson; Kristina Önnerhag; Ulf Risérus; Mattias Sundén; Lars Johansson; Per-Anders Jansson; Linda Moris; Peter M Nilsson; Jan W Eriksson; Lars Lind Journal: J Clin Lipidol Date: 2018-08-10 Impact factor: 4.766
Authors: S Haufe; H Witt; S Engeli; J Kaminski; W Utz; J C Fuhrmann; D Rein; J Schulz-Menger; F C Luft; M Boschmann; J Jordan Journal: Nutr Metab Cardiovasc Dis Date: 2016-04-07 Impact factor: 4.222
Authors: Elisa Fabbrini; Faidon Magkos; B Selma Mohammed; Terri Pietka; Nada A Abumrad; Bruce W Patterson; Adewole Okunade; Samuel Klein Journal: Proc Natl Acad Sci U S A Date: 2009-08-24 Impact factor: 11.205
Authors: Witigo von Schönfels; Eleonora Patsenker; René Fahrner; Timo Itzel; Holger Hinrichsen; Mario Brosch; Wiebke Erhart; Auste Gruodyte; Bernd Vollnberg; Klaus Richter; Andreas Landrock; Stefan Schreiber; Stephan Brückner; Guido Beldi; Bence Sipos; Thomas Becker; Christoph Röcken; Andreas Teufel; Felix Stickel; Clemens Schafmayer; Jochen Hampe Journal: Liver Int Date: 2014-03-06 Impact factor: 5.828
Authors: Jennifer Linge; Magnus Borga; Janne West; Theresa Tuthill; Melissa R Miller; Alexandra Dumitriu; E Louise Thomas; Thobias Romu; Patrik Tunón; Jimmy D Bell; Olof Dahlqvist Leinhard Journal: Obesity (Silver Spring) Date: 2018-05-22 Impact factor: 5.002
Authors: Ian J Neeland; Sebastiaan C Boone; Dennis O Mook-Kanamori; Colby Ayers; Roelof A J Smit; Ioanna Tzoulaki; Ibrahim Karaman; Claire Boulange; Dhananjay Vaidya; Naresh Punjabi; Matthew Allison; David M Herrington; J Wouter Jukema; Frits R Rosendaal; Hildo J Lamb; Ko Willems van Dijk; Philip Greenland; Renée de Mutsert Journal: J Am Heart Assoc Date: 2019-05-07 Impact factor: 5.501
Authors: Namita Misra; Cécile Clavaud; Florent Guinot; Nasrine Bourokba; Stephanie Nouveau; Sakina Mezzache; Paul Palazzi; Brice M R Appenzeller; Arthur Tenenhaus; Marcus H Y Leung; Patrick K H Lee; Philippe Bastien; Luc Aguilar; Nükhet Cavusoglu Journal: Sci Rep Date: 2021-09-15 Impact factor: 4.379