L Ortiz-Alvarez1,2, F M Acosta3,4,5,6,7, J R Ruiz3,7,8, B Martinez-Tellez9,10,11, H Xu3,12, G Sanchez-Delgado7,13, R Vilchez-Vargas14, A Link14, J Plaza-Díaz12,15, J M Llamas16,17, A Gil12,16,18,19,8, I Labayen20, P C N Rensen21. 1. PROFITH (PROmoting FITness and Health Through Physical Activity) Research Group, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain. lortizalvarez7@ugr.es. 2. Department of Biochemistry and Molecular Biology II, School of Pharmacy, University of Granada, Granada, Spain. lortizalvarez7@ugr.es. 3. PROFITH (PROmoting FITness and Health Through Physical Activity) Research Group, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain. 4. Turku PET Centre, University of Turku, Turku, Finland. 5. Turku PET Centre, Turku University Hospital, Turku, Finland. 6. InFLAMES Research Flagship Centre, University of Turku, Turku, Finland. 7. Department of Physical and Sports Education, School of Sports Science, University of Granada, Granada, Spain. 8. Instituto de Investigación Biosanitaria, Ibs.Granada, Granada, Spain. 9. PROFITH (PROmoting FITness and Health Through Physical Activity) Research Group, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain. B.Martinez-Tellez@lumc.nl. 10. Department of Medicine, Division of Endocrinology, and Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands. B.Martinez-Tellez@lumc.nl. 11. Department of Education, Faculty of Education Sciences, SPORT Research Group (CTS-1024), CERNEP Research Center, University of Almería, Almería, Spain. B.Martinez-Tellez@lumc.nl. 12. Department of Biochemistry and Molecular Biology II, School of Pharmacy, University of Granada, Granada, Spain. 13. Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA. 14. Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-Von-Guericke-University Magdeburg, Magdeburg, Germany. 15. Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, K1H 8L1, Canada. 16. Instituto de Investigación Biosanitaria Ibs Granada, 18014, Granada, Spain. 17. Servicio de Medicina Nuclear, Hospital Universitario Virgen de las Nieves, Granada, Spain. 18. Centro de Investigación Biomédica En Red (CIBER) Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Málaga, Spain. 19. Institute of Nutrition and Food Technology "José Mataix", Biomedical Research Center, Parque Tecnológico Ciencias de la Salud, University of Granada, Armilla, Granada, Spain. 20. Institute for Innovation and Sustainable Development in Food Chain (IS-FOOD), Public University of Navarra, Campus de Arrosadía, Pamplona, Spain. 21. Department of Medicine, Division of Endocrinology, and Einthoven Laboratory for Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands.
Abstract
OBJECTIVE: Human brown adipose tissue (BAT) has gained considerable attention as a potential therapeutic target for obesity and its related cardiometabolic diseases; however, whether the gut microbiota might be an efficient stimulus to activate BAT metabolism remains to be ascertained. We aimed to investigate the association of fecal microbiota composition with BAT volume and activity and mean radiodensity in young adults. METHODS: 82 young adults (58 women, 21.8 ± 2.2 years old) participated in this cross-sectional study. DNA was extracted from fecal samples and 16S rRNA sequencing was performed to analyse the fecal microbiota composition. BAT was determined via a static 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography-computed tomography scan (PET/CT) after a 2 h personalized cooling protocol. 18F-FDG uptake was also quantified in white adipose tissue (WAT) and skeletal muscles. RESULTS: The relative abundance of Akkermansia, Lachnospiraceae sp. and Ruminococcus genera was negatively correlated with BAT volume, BAT SUVmean and BAT SUVpeak (all rho ≤ - 0.232, P ≤ 0.027), whereas the relative abundance of Bifidobacterium genus was positively correlated with BAT SUVmean and BAT SUVpeak (all rho ≥ 0.262, P ≤ 0.012). On the other hand, the relative abundance of Sutterellaceae and Bifidobacteriaceae families was positively correlated with 18F-FDG uptake by WAT and skeletal muscles (all rho ≥ 0.213, P ≤ 0.042). All the analyses were adjusted for the PET/CT scan date as a proxy of seasonality. CONCLUSION: Our results suggest that fecal microbiota composition is involved in the regulation of BAT and glucose uptake by other tissues in young adults. Further studies are needed to confirm these findings. CLINICAL TRIAL INFORMATION: ClinicalTrials.gov no. NCT02365129 (registered 18 February 2015).
OBJECTIVE: Human brown adipose tissue (BAT) has gained considerable attention as a potential therapeutic target for obesity and its related cardiometabolic diseases; however, whether the gut microbiota might be an efficient stimulus to activate BAT metabolism remains to be ascertained. We aimed to investigate the association of fecal microbiota composition with BAT volume and activity and mean radiodensity in young adults. METHODS: 82 young adults (58 women, 21.8 ± 2.2 years old) participated in this cross-sectional study. DNA was extracted from fecal samples and 16S rRNA sequencing was performed to analyse the fecal microbiota composition. BAT was determined via a static 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography-computed tomography scan (PET/CT) after a 2 h personalized cooling protocol. 18F-FDG uptake was also quantified in white adipose tissue (WAT) and skeletal muscles. RESULTS: The relative abundance of Akkermansia, Lachnospiraceae sp. and Ruminococcus genera was negatively correlated with BAT volume, BAT SUVmean and BAT SUVpeak (all rho ≤ - 0.232, P ≤ 0.027), whereas the relative abundance of Bifidobacterium genus was positively correlated with BAT SUVmean and BAT SUVpeak (all rho ≥ 0.262, P ≤ 0.012). On the other hand, the relative abundance of Sutterellaceae and Bifidobacteriaceae families was positively correlated with 18F-FDG uptake by WAT and skeletal muscles (all rho ≥ 0.213, P ≤ 0.042). All the analyses were adjusted for the PET/CT scan date as a proxy of seasonality. CONCLUSION: Our results suggest that fecal microbiota composition is involved in the regulation of BAT and glucose uptake by other tissues in young adults. Further studies are needed to confirm these findings. CLINICAL TRIAL INFORMATION: ClinicalTrials.gov no. NCT02365129 (registered 18 February 2015).
Authors: Guolin Li; Cen Xie; Siyu Lu; Robert G Nichols; Yuan Tian; Licen Li; Daxeshkumar Patel; Yinyan Ma; Chad N Brocker; Tingting Yan; Kristopher W Krausz; Rong Xiang; Oksana Gavrilova; Andrew D Patterson; Frank J Gonzalez Journal: Cell Metab Date: 2017-11-07 Impact factor: 27.287
Authors: Jun Wu; Pontus Boström; Lauren M Sparks; Li Ye; Jang Hyun Choi; An-Hoa Giang; Melin Khandekar; Kirsi A Virtanen; Pirjo Nuutila; Gert Schaart; Kexin Huang; Hua Tu; Wouter D van Marken Lichtenbelt; Joris Hoeks; Sven Enerbäck; Patrick Schrauwen; Bruce M Spiegelman Journal: Cell Date: 2012-07-12 Impact factor: 41.582