Modelling osteomyelitis

Pietro Liò, Nicola Paoletti, Mohammad A. Moni, Kathryn Atwell, Emanuela Merelli, Marco Viceconti

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Background: This work focuses on the computational modelling of osteomyelitis, a bone pathology caused by bacteria infection (mostly Staphylococcus aureus). The infection alters the RANK/RANKL/OPG signalling dynamics that regulates osteoblasts and osteoclasts behaviour in bone remodelling, i.e. the resorption and mineralization activity. The infection rapidly leads to severe bone loss, necrosis of the affected portion, and it may even spread to other parts of the body. On the other hand, osteoporosis is not a bacterial infection but similarly is a defective bone pathology arising due to imbalances in the RANK/RANKL/OPG molecular pathway, and due to the progressive weakening of bone structure. Results: Since both osteoporosis and osteomyelitis cause loss of bone mass, we focused on comparing the dynamics of these diseases by means of computational models. Firstly, we performed meta-analysis on a gene expression data of normal, osteoporotic and osteomyelitis bone conditions. We mainly focused on RANKL/OPG signalling, the TNF and TNF receptor superfamilies and the NF-kB pathway. Using information from the gene expression data we estimated parameters for a novel model of osteoporosis and of osteomyelitis. Our models could be seen as a hybrid ODE and probabilistic verification modelling framework which aims at investigating the dynamics of the effects of the infection in bone remodelling. Finally we discuss different diagnostic estimators defined by formal verification techniques, in order to assess different bone pathologies (osteopenia, osteoporosis and osteomyelitis) in an effective way. Conclusions: We present a modeling framework able to reproduce aspects of the different bone remodeling defective dynamics of osteomyelitis and osteoporosis. We report that the verification-based estimators are meaningful in the light of a feed forward between computational medicine and clinical bioinformatics.

Original languageEnglish
Article numberS12
JournalBMC Bioinformatics
Volume13
Issue numberSUPPL 1
DOIs
Publication statusPublished - Sep 7 2012

Fingerprint

Osteomyelitis
Osteoporosis
Bone
Bone and Bones
Infection
Bone Remodeling
Modeling
Tumor Necrosis Factor
Pathology
Gene Expression Data
Pathway
Gene Expression
Osteonecrosis
Gene expression
NF-kappa B
Metabolic Bone Diseases
Tumor Necrosis Factor Receptors
Clinical Medicine
Estimator
Necrosis

Keywords

  • bone remodelling
  • NF-kB
  • OPG
  • Osteomyelitis
  • osteoporosis
  • RANK
  • RANKL
  • Staphylococcus aureus.

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Applied Mathematics
  • Structural Biology

Cite this

Liò, P., Paoletti, N., Moni, M. A., Atwell, K., Merelli, E., & Viceconti, M. (2012). Modelling osteomyelitis. BMC Bioinformatics, 13(SUPPL 1), [S12]. https://doi.org/10.1186/1471-2105-13-S14-S12

Modelling osteomyelitis. / Liò, Pietro; Paoletti, Nicola; Moni, Mohammad A.; Atwell, Kathryn; Merelli, Emanuela; Viceconti, Marco.

In: BMC Bioinformatics, Vol. 13, No. SUPPL 1, S12, 07.09.2012.

Research output: Contribution to journalArticle

Liò, P, Paoletti, N, Moni, MA, Atwell, K, Merelli, E & Viceconti, M 2012, 'Modelling osteomyelitis', BMC Bioinformatics, vol. 13, no. SUPPL 1, S12. https://doi.org/10.1186/1471-2105-13-S14-S12
Liò P, Paoletti N, Moni MA, Atwell K, Merelli E, Viceconti M. Modelling osteomyelitis. BMC Bioinformatics. 2012 Sep 7;13(SUPPL 1). S12. https://doi.org/10.1186/1471-2105-13-S14-S12
Liò, Pietro ; Paoletti, Nicola ; Moni, Mohammad A. ; Atwell, Kathryn ; Merelli, Emanuela ; Viceconti, Marco. / Modelling osteomyelitis. In: BMC Bioinformatics. 2012 ; Vol. 13, No. SUPPL 1.
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