Abstract

Congenital pseudarthrosis of the tibia (CPT) is a rare disease which normally presents itself during early childhood by anterolateral bowing of the tibia and spontaneous tibial fractures. Although the exact etiology of CPT is highly debated, 40–80% of CPT patients are carriers of a mutation in the Neurofibromatosis Type 1 (NF1) gene, which can potentially result in an altered phenotype of the skeletal cells and impaired bone healing. In this study we use a computational model of bone regeneration to examine the effect of the Nf1 mutation on bone fracture healing by altering the parameter values of eight key factors which describe the aberrant cellular behaviour of Nf1 haploinsufficient and Nf1 bi-allelically inactivated cells. We show that the computational model is able to predict the formation of a hamartoma as well as a wide variety of CPT phenotypes through different combinations of altered parameter values. A sensitivity analysis by “Design of Experiments” identified the impaired endochondral ossification process and increased infiltration of fibroblastic cells as key contributors to the degree of severity of CPT. Hence, the computational model results have added credibility to the experimental hypothesis of a genetic cause (i.e. Nf1 mutation) for CPT.

Highlights

  • Congenital pseudarthrosis of the tibia (CPT) is a rare disease which normally presents during early infancy

  • A non-union resembling a CPT phenotype was predicted by the computational model when all the parameter values were altered according to Table 1 (Nf1 case)

  • The fracture site was predicted to be filled with chondrocytes and fibroblasts which resulted in the formation of a fibrocartilaginous ‘hamartoma’ (Fig. 4D,E)

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Summary

Introduction

Congenital pseudarthrosis of the tibia (CPT) is a rare disease which normally presents during early infancy. An improved understanding of the role of NF1 haploinsufficient and NF1 bi-allelically inactivated skeletal cells in impaired bone healing is crucial for the development of targeted therapies for CPT patients. Since the Nf1 mutation leads to deficiencies in many skeletal cell types, we hypothesise that computational models are a suitable tool to investigate the influence of these deficiencies on the bone healing outcome[11,12]. This study will use a well-established multiscale computational model of normal bone regeneration[13,14,15,16] to investigate the impaired bone healing associated with Nf1, in particular the formation of a pseudarthrosis after excessive bowing and pathological fracture, and to improve our fundamental understanding

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