In silico bone mechanobiology: modeling a multifaceted biological system

Area of Science:

• Mechanobiology
• Computational Biology
• Systems Biology

Background:

• Bone tissue adapts its structure in response to mechanical stimulation.
• Mechanobiology investigates how mechanical loads influence biological processes via cell signaling.
• Computational modeling has significantly advanced the field of bone mechanobiology.

Purpose of the Study:

• To review the contribution of computational modeling to bone mechanobiology.
• To highlight the evolution of computational approaches in bone research.
• To discuss future directions in computational bone mechanobiology.

Main Methods:

• Review of existing literature on computational modeling in bone mechanobiology.
• Analysis of reductive approaches in current in silico models.
• Discussion of emerging multiscale and multiphysics modeling techniques.

Main Results:

• Computational models have aided interpretation of experimental findings and identified new research areas.
• Current research is divided into mechanoregulation algorithms and cell mechanobiology models.
• Advances in computational power enable more complex, integrated models.

Conclusions:

• Computational modeling is indispensable for bone mechanobiology research.
• Future models will adopt a systems biology approach, integrating multiscale and multiphysics.
• Clinical application of patient-specific models requires extensive validation through computational and experimental methods.