Fecal microbiota composition is related to brown adipose tissue 18F-fluorodeoxyglucose uptake in young adults
Fecha
2022Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Identificador del proyecto
Impacto
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10.1007/s40618-022-01936-x
Resumen
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 efcient 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 ra ...
[++]
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 efcient 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-fuorodeoxyglucose (18F-FDG) positron emission tomography-computed tomography scan (PET/CT) after a
2 h personalized cooling protocol. 18F-FDG uptake was also quantifed 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
Bifdobacterium 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 Bifdobacteriaceae families was positively correlated with 18FFDG 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 confrm these fndings.
Clinical trial information ClinicalTrials.gov no. NCT02365129 (registered 18 February 2015). [--]
Materias
Brown fat,
Glucose uptake,
Gut microbiota,
Obesity,
Short-chain fatty acids
Editor
Springer
Publicado en
Journal of Endocrinological Investigation (2023) 46:567–576
Departamento
Universidad Pública de Navarra. Departamento de Ciencias de la Salud /
Nafarroako Unibertsitate Publikoa. Osasun Zientziak Saila
Versión del editor
Entidades Financiadoras
Funding for open access charge: Universidad de Granada / CBUA. The study was supported by the Spanish Ministry of Economy and Competitiveness via Fondo de Investigación Sanitaria del Instituto de Salud Carlos III (PI13/01393) and PTA 12264-I, Retos de la Sociedad (DEP2016- 79512-R), and European Regional Development Funds (ERDF), by the Spanish Ministry of Education (FPU13/04365, FPU16/05159 and FPU17/01523), the Fundación Iberoamericana de Nutrición (FINUT), the Redes Temáticas De Investigación Cooperativa RETIC (Red SAMID RD16/0022), InFLAMES Flagship Programme of the Academy of Finland (decision number: 337530), Fundación Alfonso Martin Escudero and NextGenerationEU (Maria Zambrano fellowship: RR_C_2021_04). AstraZeneca HealthCare Foundation, the University of Granada Plan Propio de Investigación 2016-Excellence actions: Unit of Excellence on Exercise and Health (UCEES), and by the Junta de Andalucía, Consejería de Conocimiento, Investigación y Universidades (ERDF, SOMM17/6107/UGR). AL and RVV are supported by the funds of the European Commission through the “European funds for regional development” (EFRE) as well as by the regional Ministry of Economy, Science and Digitalization of Saxony-Anhalt as part of the “Autonomy in old Age” (AiA) research group for “LiLife” Project (Project ID: ZS/2018/11/95324). We would like to thank the team of the Data Integration Center of University Medicine Magdeburg for local data-analysis solutions; they are supported by MIRACUM and funded by the German Federal Ministry of Education and Research (BMBF) within the “Medical Informatics Funding Scheme” (FKZ 01ZZ1801H).