Presentation Information
[C06-05]Quantitative understanding of mechanisms and intervention strategies for bone loss in mice
*Marwa Akao1, Kei Gouchi2,3, Masahiro Shinohara2, Shingo Iwami1, Shoya Iwanami1 (1. Nagoya university (Japan), 2. National Rehabilitation Center For Persons with Disabilities (Japan), 3. Tokyo University of Sciences (Japan))
Keywords:
Cells,Bone metabolism,Mathematical model
Bone in animals, such as human and mouse changes with aging. Osteoporosis is a disease that affects more than 200 million people all over the world and the most common cause is considered as aging. Although its underlying mechanisms are gradually being revealed, effective treatments or preventive measures have not been established yet. In addition, osteoporosis is an asymptomatic disease in early stage and difficult to start treatment before disease progression. This study focused on age-related osteoporosis by measuring bone mass and bone metabolism markers in mice from 4 to 52 weeks of age. We developed mathematical models describing bone metabolism and analyzed experimental data. From the result of data analysis, we quantitatively revealed the mechanisms of bone loss. Furthermore, we conducted treatment intervention simulations by changing parameter values in mathematical models to identify effective bone metabolism pathways for increasing bone mass and new potential therapeutic strategies. We then identified optimal intensities of intervention for the timing of intervention initiation and the target age in weeks for maintaining bone mass. Quantitative understanding of bone metabolism dynamics is expected to lead to the discovery of novel intervention mechanisms and the optimization of treatment.