Emmani B M Nascimento1, Lauren M Sparks2, Adeline Divoux2, Marike W van Gisbergen3, Evie P M Broeders1,4, Johanna A Jörgensen1, Gert Schaart1, Nicole D Bouvy4, Wouter D van Marken Lichtenbelt1, Patrick Schrauwen1. 1. Department of Human Biology and Human Movement Sciences, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands. 2. Translational Research Institute for Metabolism and Diabetes, Florida Hospital, Orlando, Florida, USA. 3. Department of Radiotherapy, GROW - School for Oncology and Developmental Biology, Maastricht Comprehensive Cancer Center, Maastricht University Medical Center, The Netherlands. 4. Department of General Surgery, NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University Medical Center, Maastricht, The Netherlands.
Abstract
OBJECTIVE: Human brown adipose tissue (BAT) activity decreases with age and obesity. In addition to uncoupling protein 1 (UCP1), several genetic markers of BAT in humans have been published. However, the link between human BAT activity and genetic markers has been inadequately explored. METHODS: White adipose tissue (WAT) and BAT biopsies were obtained from 16 patients undergoing deep neck surgery. In vitro differentiated adipocytes were used to measure norepinephrine-stimulated mitochondrial uncoupling as a measure of in vitro BAT activity. Gene expression was determined in adipose tissue biopsies. RESULTS: Norepinephrine increased in vitro BAT activity in adipocytes derived from human BAT, and this increase was abolished by propranolol. Furthermore, in vitro BAT activity showed a negative correlation to age and BMI. UCP1 messenger RNA (mRNA) expression showed a positive correlation to in vitro BAT activity, while zinc finger protein of cerebellum 1 (ZIC1) mRNA showed a negative correlation to in vitro BAT activity. In human BAT biopsies, UCP1 mRNA showed negative correlations to age and BMI, while ZIC1 mRNA showed positive correlations to age and BMI. CONCLUSIONS: Differentiated adipocytes derived from human BAT maintain intrinsic characteristics of the donor. High ZIC1 mRNA does not necessarily reflect high BAT activity.
OBJECTIVE:Human brown adipose tissue (BAT) activity decreases with age and obesity. In addition to uncoupling protein 1 (UCP1), several genetic markers of BAT in humans have been published. However, the link between human BAT activity and genetic markers has been inadequately explored. METHODS: White adipose tissue (WAT) and BAT biopsies were obtained from 16 patients undergoing deep neck surgery. In vitro differentiated adipocytes were used to measure norepinephrine-stimulated mitochondrial uncoupling as a measure of in vitro BAT activity. Gene expression was determined in adipose tissue biopsies. RESULTS:Norepinephrine increased in vitro BAT activity in adipocytes derived from human BAT, and this increase was abolished by propranolol. Furthermore, in vitro BAT activity showed a negative correlation to age and BMI. UCP1 messenger RNA (mRNA) expression showed a positive correlation to in vitro BAT activity, while zinc finger protein of cerebellum 1 (ZIC1) mRNA showed a negative correlation to in vitro BAT activity. In human BAT biopsies, UCP1 mRNA showed negative correlations to age and BMI, while ZIC1 mRNA showed positive correlations to age and BMI. CONCLUSIONS: Differentiated adipocytes derived from human BAT maintain intrinsic characteristics of the donor. High ZIC1 mRNA does not necessarily reflect high BAT activity.
Authors: Andreas Paulus; Petronella A van Ewijk; Emmani B M Nascimento; Marijke De Saint-Hubert; Geert Hendrikx; Andrea Vogg; Ivo Pooters; Melanie Schnijderberg; Joris Vanderlocht; Gerard Bos; Boudewijn Brans; Vera B Schrauwen-Hinderling; Felix M Mottaghy; Matthias Bauwens Journal: PLoS One Date: 2019-05-15 Impact factor: 3.240
Authors: Emmani B M Nascimento; Maurice Konings; Gert Schaart; Albert K Groen; Dieter Lütjohann; Wouter D van Marken Lichtenbelt; Patrick Schrauwen; Jogchum Plat Journal: Eur J Nutr Date: 2019-07-17 Impact factor: 5.614
Authors: Alyssa D Cordero; Evan C Callihan; Rana Said; Yasir Alowais; Emily S Paffhausen; John R Bracht Journal: Cells Date: 2020-05-07 Impact factor: 6.600