Investigating the efficacy of bisphosphonates treatment against multiple myeloma induced bone disease using a computational model
Ji, Bing; Yang, Qing; Genever, Paul G.; Fagan, Michael J.
Paul G. Genever
Professor Michael Fagan M.J.Fagan@hull.ac.uk
Professor of Medical and Biological Engineering
Multiple myeloma (MM)-induced bone disease is mortal for most MM patients. Bisphosphonates are first-line treatment for MM-induced bone disease, since it can inhibit osteoclast activity and the resultant bone resorption by suppressing the differentiation of osteoclast precursors into mature osteoclasts, promoting osteoclast apoptosis and disrupting osteoclast function. However, it is still unclear whether bisphosphonates have an anti-tumour effect. In our previous work, a computational model was built to simulate the pathology of MM-induced bone disease. This paper extends this proposed computational model to investigate the efficacy of bisphosphonates treatment and then clear the controversy of this therapy. The extended model is validated through the good agreement between simulation results and experimental data. The simulation results suggest that bisphosphonates indeed have an anti-tumour effect.
|Journal Article Type||Conference Paper|
|Publication Date||Dec 1, 2014|
|Journal||Bio-medical materials and engineering|
|Peer Reviewed||Peer Reviewed|
|APA6 Citation||Ji, B., Yang, Q., Genever, P. G., & Fagan, M. J. (2014). Investigating the efficacy of bisphosphonates treatment against multiple myeloma induced bone disease using a computational model. Bio-medical materials and engineering, 24(6), 3373-3378. https://doi.org/10.3233/BME-141160|
|Keywords||Multiple myeloma, MM-induced bone disease,, Bisphosphonates, Anti-tumour, Computational model|
|Copyright Statement||This article is published with Open Access and distributed under the terms of the Creative Commons Attribution and Non-Commercial License.|
|Additional Information||Copy of article first published in: Bio-medical materials and engineering, 2014, v.24, issue 6.|
This article is published with Open Access and distributed under the terms of the Creative Commons Attribution and Non-Commercial License.
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