Modeling Fibrous Dysplasia Progression and its Therapeutic Intervention

Fibrous dysplasia (FD) is a rare, benign bone disorder characterized by the abnormal formation of tissue in a mosaic distribution. It can affect multiple bones, causing severe symptoms such as pathological fractures, spinal curvature, and reduced stature, as part of the so-called McCune–Albright Syndrome (MAS). FD originates from postzygotic gain-of-function mutations in the GNAS gene. While treatments for other skeletal diseases like the monoclonal antibody denosumab, used in osteoporosis, have been applied to FD, the absence of a quantitative understanding of the dynamics of lesional cell populations limits both in-depth analysis and therapy optimization. This study introduces a novel pharmacokinetic–pharmacodynamic mathematical model specifically designed for FD, enriched with in vitro/ex vivo data from denosumab assays. Our framework builds upon existing mathematical approaches for osteoporosis, focusing on two cell populations: (1) variant-bearing FD osteoprogenitors and (2) wild-type (WT) osteoprogenitors displaying transferred FD phenotypes. The resulting model paves the way for future in vitro assays targeting FD and related skeletal conditions. Our analyses reveal that abnormal cell proliferation in FD may be due to its atypical inhibition, providing new insights for potential treatment strategies. Furthermore, our simulations identify a promising biomarker for FD diagnosis.

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Publication Details

Journal
Mathematical Modelling of Natural Phenomena
Published
2024-12-24
DOI
https://doi.org/10.1051/mmnp/2024022
Primary Topic
Bone Tumor Diagnosis and Treatments
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling Fibrous Dysplasia Progression and its Therapeutic Intervention

Luis F de Castro, Gabriel F. Calvo, Victor M. Pérez-Garcı́a, Juan C. Beltran-Vargas
Mathematical Modelling of Natural Phenomena
Bone Tumor Diagnosis and Treatments
article

Modeling Fibrous Dysplasia Progression and its Therapeutic Intervention

Luis F de Castro, Gabriel F. Calvo, Victor M. Pérez-Garcı́a, Juan C. Beltran-Vargas
article en

Abstract

Fibrous dysplasia (FD) is a rare, benign bone disorder characterized by the abnormal formation of tissue in a mosaic distribution. It can affect multiple bones, causing severe symptoms such as pathological fractures, spinal curvature, and reduced stature, as part of the so-called McCune–Albright Syndrome (MAS). FD originates from postzygotic gain-of-function mutations in the GNAS gene. While treatments for other skeletal diseases like the monoclonal antibody denosumab, used in osteoporosis, have been applied to FD, the absence of a quantitative understanding of the dynamics of lesional cell populations limits both in-depth analysis and therapy optimization. This study introduces a novel pharmacokinetic–pharmacodynamic mathematical model specifically designed for FD, enriched with in vitro/ex vivo data from denosumab assays. Our framework builds upon existing mathematical approaches for osteoporosis, focusing on two cell populations: (1) variant-bearing FD osteoprogenitors and (2) wild-type (WT) osteoprogenitors displaying transferred FD phenotypes. The resulting model paves the way for future in vitro assays targeting FD and related skeletal conditions. Our analyses reveal that abnormal cell proliferation in FD may be due to its atypical inhibition, providing new insights for potential treatment strategies. Furthermore, our simulations identify a promising biomarker for FD diagnosis.

Mathematical Modelling of Natural PhenomenaVol. 20
National Institutes of Health (US), University of Castilla-La Mancha (ES)
Ministerio de Ciencia e Innovación, Universidad de Castilla-La Mancha, Universidad de Córdoba, Junta de Comunidades de Castilla-La Mancha, European Regional Development Fund, Agencia Estatal de Investigación
Good health and well-being
Openalex Percentile: Top 59%
Bone Tumor Diagnosis and Treatments
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Modeling Fibrous Dysplasia Progression and its Therapeutic Intervention — Luis F de Castro, Gabriel F. Calvo, et al. · Mathematical Modelling of Natural Phenomena (2024) | TGRS Research Map | TGRS