A Systems-Level Analysis of Total-Body PET Data Reveals Complex Skeletal Metabolism Networks in vivo

Dataset

Abstract

Bone is now regarded to be a key regulator of a number of metabolic processes, in
addition to the regulation of mineral metabolism. However, our understanding of complex
bone metabolic interactions at a systems level remains rudimentary. In vitro molecular
biology and bioinformatics approaches have frequently been used to understand the
mechanistic changes underlying disease at the cell level, however, these approaches
lack the capability to interrogate dynamic multi-bone metabolic interactions in vivo. Here
we present a novel and integrative approach to understand complex bone metabolic
interactions in vivo using total-body positron emission tomography (PET) network
analysis of murine 18F-FDG scans, as a biomarker of glucose metabolism in bones.
In this report we show that different bones within the skeleton have a unique glucose
metabolism and form a complex metabolic network, which could not be identified
using single tissue simplistic PET standard uptake values analysis. The application
of our approach could reveal new physiological and pathological tissue interactions
beyond skeletal metabolism, due to PET radiotracers diversity and the advent of clinical
total-body PET systems.
Karla J. Suchacki, Carlos J. Alcaide-Corral, Samah Nimale, Mark G. Macaskill,
Roland H. Stimson, Colin Farquharson, Tom C. Freeman and Adriana A. S. Tavares

Data Citation

Suchacki, Karla; Alcaide-Corral, Carlos Jose. (2021). A Systems-Level Analysis of Total-Body PET Data Reveals Complex Skeletal Metabolism Networks in vivo, [dataset]. University of Edinburgh. Centre for Cardiovascular Science. https://doi.org/10.7488/ds/3161.
Date made available2 Nov 2021
PublisherEdinburgh DataShare
Geographical coverageUK,UNITED KINGDOM

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