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Bone marrow adipose tissue is a unique adipose subtype with distinct roles in glucose homeostasis

Suchacki, Karla J and Tavares, Adriana AS and Mattiucci, Domenico and Scheller, Erica L and Papanastasiou, Giorgos and Gray, Calum and Sinton, Matthew C and Ramage, Lynne E and McDougald, Wendy A and Lovdel, Andrea and Sulston, Richard J and Thomas, Benjamin J and Nicholson, Bonnie M and Drake, Amanda J and Alcaide-Corral, Carlos J and Said, Diana and Poloni, Antonella and Cinti, Saverio and Macpherson, Gavin J and Dweck, Marc R and Andrews, Jack PM and Williams, Michelle C and Wallace, Robert J and van Beek, Edwin JR and MacDougald, Ormond A and Morton, Nicholas M and Stimson, Roland H and Cawthorn, William P (2020) 'Bone marrow adipose tissue is a unique adipose subtype with distinct roles in glucose homeostasis.' Nature Communications, 11 (1). ISSN 2041-1723

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Abstract

Bone marrow adipose tissue (BMAT) comprises >10% of total adipose mass, yet unlike white or brown adipose tissues (WAT or BAT) its metabolic functions remain unclear. Herein, we address this critical gap in knowledge. Our transcriptomic analyses revealed that BMAT is distinct from WAT and BAT, with altered glucose metabolism and decreased insulin responsiveness. We therefore tested these functions in mice and humans using positron emission tomography-computed tomography (PET/CT) with 18F-fluorodeoxyglucose. This revealed that BMAT resists insulin- and cold-stimulated glucose uptake, while further in vivo studies showed that, compared to WAT, BMAT resists insulin-stimulated Akt phosphorylation. Thus, BMAT is functionally distinct from WAT and BAT. However, in humans basal glucose uptake in BMAT is greater than in axial bones or subcutaneous WAT and can be greater than that in skeletal muscle, underscoring the potential of BMAT to influence systemic glucose homeostasis. These PET/CT studies characterise BMAT function in vivo, establish new methods for BMAT analysis, and identify BMAT as a distinct, major adipose tissue subtype.

Item Type: Article
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 17 Jul 2020 09:06
Last Modified: 17 Jul 2020 09:06
URI: http://repository.essex.ac.uk/id/eprint/28153

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