SFEBES2025 Poster Presentations Late Breaking (68 abstracts)
Systems-level analysis of [18F]FDG PET to study bone metabolism in healthy and osteomyelitis pigs
Chloe Brown 1 , Adriana Tavares 2 , Ruth Morgan 1,2 , Aage Kristian Olsen Alstrup 3 , Svend Borup Jensen 4,5 , Lars Jødal 4 , Pia Afzelius 6 & Karla Jade Suchacki 1,2
1SRUC, Edinburgh, United Kingdom. 2University of Edinburgh, Edinburgh, United Kingdom. 3Department of Nuclear Medicine and PET, Aarhus University Hospital, Aarhus, Denmark. 4Department of Nuclear Medicine, University Hospital of Aalborg, Aalborg, Denmark. 5Department of Chemistry and Biosciences Aalborg University, Aalborg, Denmark. 6Odense University Hospital, Department of Nuclear Medicine, Odense, Denmark
Introduction: Our understanding of complex tissue interactions at a systems level remains rudimentary, limiting our ability to dissect mechanisms underlying diseases and develop novel therapeutics. Skeletal research has focused on the pathogenicity of obesity and diabetes mellitus on the skeleton; however, it has been recently revealed that the skeleton is not merely an endocrine target but also a secretory organ, modulating systemic energy homeostasis. We have recently discovered that different bones within the murine skeleton have a unique glucose metabolism and form a complex metabolic network. Pigs are remarkably like humans in terms of their physiology and are the biomedical model of choice for bone anatomy and physiology studies, yet the endocrine role of bone in the pig is yet to be investigated.
Hypothesis: Different bones within the porcine skeleton have unique molecular signatures and form a distinct metabolic network, which is altered by osteomyelitis.
Methods: Pigs (healthy n=5/S. aureus n=3) underwent static [18F]FDG PET/CT and were analysed to measure bone and bone marrow adipose tissue (BMAT) glucose metabolism. Bone and BM volumes of interest were segmented in CT images using Hounsfield Unit (HU) > 300 (bone) and -200 to 115 (BMAT). Standardised uptake values were used to perform network analysis (Graphia).
Results: Similarly to what has previously been observed in the mouse and human, there was an increased incorporation of [18F]FDG in the axial skeleton compared to the appendicular skeleton in both healthy and osteomyelitis pigs. Osteomyelitis pigs had a lower bone density, increased BMAT volume, and increased incorporation of [18F]FDG into the bone and BMAT compared to healthy controls. Network analysis indicated a shift in bone metabolic profiles between healthy and osteomyelitis pigs.
Conclusion: Different bones within the porcine skeleton have a unique glucose metabolism and form complex metabolic networks, which are altered by osteomyelitis.
Volume 109
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Endocrine Abstracts
ISSN 1470-3947 (print) | ISSN 1479-6848 (online)
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