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NF-kB regulator Bcl3 modulates bone density and turnover

ABSTRACT: B-cell lymphoma 3-encoded protein (Bcl3) is an intimate and context-specific regulator of the NF-kB family of transcription factors, a ubiquitous master regulator involved in many homeostatic and inflammatory processes. NF‑kB signalling determines the fates of bone-forming osteoblasts and bone-resorbing osteoclasts. Herein we show that Bcl3 is a negative regulator of NF‑kB via control of osteoblast and osteoclast function. Mice lacking Bcl3 (Bcl3−/−) have congenitally increased bone density, long bone dwarfism, increased biomechanical strength and altered bone turnover. Bcl3−/− osteoblasts and osteoclasts have accelerated differentiation and increased activity; whereas, rescue overexpression with a Bcl3 mimetic peptide inhibits differentiation. Early-differentiating Bcl3−/− osteoblasts have altered gene transcription favouring bone formation, including perturbation of the RANKL-OPG axis. In a model of osteoarthritic aberrant mineralisation Bcl3−/− mice exhibit decreased pathological osteophyte formation. Cumulatively, these findings identify Bcl3 as a viable target for controlling NF‑kB signalling in the treatment of skeletal pathologies.

ORGANISM(S): Mus musculus

PROVIDER: GSE125153 | GEO | 2019/01/17

REPOSITORIES: GEO

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Project description: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 Model is encoded by Ruby and submitted and curated to BioModels by Ahmad Zyoud

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NF-kB regulator Bcl3 modulates bone density and turnover

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