Distinct bone metabolic networks identified in Phospho1−/− mice vs. wild type mice using [18F]FDG total-body PET Article Swipe
A Hellman
,
Paul S. Clegg
,
Colin Farquharson
,
José Luís Millán
,
Carlos J. Alcaide‐Corral
,
Karla J. Suchacki
,
Adriana Tavares
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fmed.2025.1597844
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3389/fmed.2025.1597844
Introduction Total-body PET is a recent development in clinical imaging that produces large datasets involving multiple tissues, enabling the use of new analytical methods for multi-organ assessments, such as network analysis—a well-developed method in neuroimaging. The skeletal system provides a good model for applying network analysis to total-body PET, as bone serves many classical whole-body functions as well as being an endocrine regulator of metabolism. Previous reports have suggested an association between the expression of bone-specific phosphatase, orphan 1 and disorders of altered energy metabolism such as obesity and diabetes. Here, we explore how lacking phosphatase, orphan 1 affects the skeletal metabolic networks of mice as a test approach for deploying network analysis in total-body PET. Methods We retrospectively analysed [ 18 F]fluorodeoxyglucose total-body PET/CT images from six 13-week-old wild type mice, three 22-week-old wild type mice, and three 22-week-old Phospho1 −/− mice. Pearson correlation networks were created using the dynamic data from seven bone regions, with a Pearson threshold of r >0.6 (significant at p < 0.005). Results The bone metabolic networks of 13-week-old wild type mice were found to robustly resist changes to the data from different PET measurements, increased noise, and shortened scan length. Key features were repeatedly observed, namely that all bones except the spine are highly inter-correlated, while the spine has minimal correlation to other bones. When network analysis was used to compare the three cohorts, the older wild type network had similar features to the young mouse, whereas the Phospho1 −/− network had increased correlations across all bones. An all-cohort network separated the data into one part including only bones from the wild type mice (13 nodes) and one part only bones from the Phospho1 −/− mice (8 nodes, 95% separation purity). Within the wild type section, the same bone from each young and old mouse were correlated. Discussion We demonstrated network analysis is a promising method for studying whole-body PET, sensitive to dynamic details in the data without relying on assumptions or modelling. The proposed method could be applied to other total-body PET data—of healthy and diseased subjects, with different radiotracers, and more—to further elucidate tissue interactions at a systems level.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fmed.2025.1597844
- https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2025.1597844/pdf
- OA Status
- gold
- Cited By
- 1
- References
- 49
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4410571472
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https://openalex.org/W4410571472Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fmed.2025.1597844Digital Object Identifier
- Title
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Distinct bone metabolic networks identified in Phospho1−/− mice vs. wild type mice using [18F]FDG total-body PETWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-05-21Full publication date if available
- Authors
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A Hellman, Paul S. Clegg, Colin Farquharson, José Luís Millán, Carlos J. Alcaide‐Corral, Karla J. Suchacki, Adriana TavaresList of authors in order
- Landing page
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https://doi.org/10.3389/fmed.2025.1597844Publisher landing page
- PDF URL
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https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2025.1597844/pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2025.1597844/pdfDirect OA link when available
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Wild type, Biology, Internal medicine, Molecular biology, Cancer research, Endocrinology, Pathology, Medicine, Genetics, Gene, MutantTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.inter-correlated, | 211 |
| abstract_inverted_index.F]fluorodeoxyglucose | 122 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile.value | 0.87068824 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |