Improving the damage accumulation in a biomechanical bone remodelling model

Effect of stress on mRNA expression of H+-ATPase in osteoclasts

This study was designed to investigate the effect of various strengths and action times of flow stress on mRNA expression of H+-ATPase in osteoclasts. Osteoclasts were obtained through a classical mechanical-anatomical technique. They were identified by their morphology, tartrate-resistant acid phosphatase (TRAP) staining, and by a test of their ability to form resorption lacunae. Osteoclasts were mechanically loaded by flow stress using a cell-loading system. The stress-loading experiments were divided into various strength groups and action time groups. The morphological changes of osteoclasts after application of loading stress were analyzed using an image analysis system and Image-Pro Plus software. Expression of H+-ATPase mRNA in osteoclasts was detected by real-time fluorescent quantitative polymerase chain reaction. The existence of significant differences between experimental groups was analyzed using SPSS 12.0 software. The cytoplasm of osteoclasts with positive TRAP staining appeared with a characteristic claret-red color. Cells were able to form resorption pits in the surface of dentine slices. Morphological changes of osteoclasts with applied stress assumed an early increasing tendency before reaching a peak value and following a decreasing tendency. A significant difference of H+-ATPase mRNA expression of osteoclasts was seen between any two groups (P < 0.05). H+-ATPase mRNA expression in osteoclasts had a tendency to first increase with increasing stress and was observed to then decrease in one action time group. In this present study, a close relationship between the stress and mRNA expression of H+-ATPase in osteoclasts was observed.

A mathematical model of bone remodeling dynamics for normal bone cell populations and myeloma bone disease

BACKGROUND

Multiple myeloma is a hematologic malignancy associated with the development of a destructive osteolytic bone disease.

RESULTS

Mathematical models are developed for normal bone remodeling and for the dysregulated bone remodeling that occurs in myeloma bone disease. The models examine the critical signaling between osteoclasts (bone resorption) and osteoblasts (bone formation). The interactions of osteoclasts and osteoblasts are modeled as a system of differential equations for these cell populations, which exhibit stable oscillations in the normal case and unstable oscillations in the myeloma case. In the case of untreated myeloma, osteoclasts increase and osteoblasts decrease, with net bone loss as the tumor grows. The therapeutic effects of targeting both myeloma cells and cells of the bone marrow microenvironment on these dynamics are examined.

CONCLUSIONS

The current model accurately reflects myeloma bone disease and illustrates how treatment approaches may be investigated using such computational approaches.

REVIEWERS

This article was reviewed by Ariosto Silva and Mark P. Little.