The Dynamic Analysis of a Human Skeleton Using the Flexile Multibody Simulation Approach

The human motion study, which relies on mathematical and computational models ingeneral, and multibody dynamic biomechanical models in particular, has become asubject of many recent researches. The human body model can be applied to different physical exercises and many important results such as muscle forces, which are difficult to be measured through practical experiments, can be obtained easily. In the work, human skeletal lower limb model consisting of three bodies in build using the flexible multibody dynamics simulation approach. The floating frame of reference formulation is used to account for the flexibility in the bones of the human lower limb model. The main reason of considering the flexibility inthe human bones is to measure the strains in the bone result from different physical exercises. It has been perceived the bone under strain will become stronger in order to cope with the exercise. On the other hand, the bone strength is considered and important factors in reducing the bone fractures. The simulation approach and model developed in this work are used to measure the bone strain results from applying raising the sole of the foot exercise. The simulation results are compared to the results available in literature. The comparison shows goof agreement. This study sheds the light on the importance of using the flexible multibody dynamic simulation approach to build human biomechanical models, which can be used in developing some exercises to achieve the optimalbone strength.

Flexible multibody approach in bone strain estimation during physical activity:

Bone strain plays a major role as the activation signal for the bone (re)modeling process, which is vital for keeping bones healthy. Maintaining high bone mineral density reduces the chances of fracture in the event of an accident. Numerous studies have shown that bones can be strengthened with physical exercise. Several hypotheses have asserted that a stronger osteogenic (bone producing) effect results from dynamic exercise than from static exercise. These previous studies are based on short-term empirical research, which provide the motivation for justifying the experimental results with a solid mathematical background. The computer simulation techniques utilized in this work allow for non-invasive bone strain estimation during physical activity at any bone site within the human skeleton. All models presented in the study are threedimensional and actuated by muscle models to replicate the real conditions accurately. The objective of this work is to determine and present loading-induced bone strain values resulting from physical activity. It includes a comparison of strain resulting from four different gym exercises (knee flexion, knee extension, leg press, and squat) and walking, with the results reported for walking and jogging obtained from in-vivo measurements described in the literature. The objective is realized primarily by carrying out flexible multibody dynamics computer simulations. The dissertation combines the knowledge of finite element analysis and multibody simulations with experimental data and information available from medical field literature. Measured subject-specific motion data was coupled with forward dynamics simulation to provide natural skeletal movement. Bone geometries were defined using a reverse engineering approach based on medical imaging techniques. Both computed tomography and magnetic resonance imaging were utilized to explore modeling differences. The predicted tibia bone strains during walking show good agreement with invivo studies found in the literature. Strain measurements were not available for gym exercises; therefore, the strain results could not be validated. However, the values seem reasonable when compared to available walking and running invivo strain measurements. The results can be used for exercise equipment design aimed at strengthening the bones as well as the muscles during workout. Clinical applications in post fracture recovery exercising programs could also be the target. In addition, the methodology introduced in this study, can be applied to investigate the effect of weightlessness on astronauts, who often suffer bone loss after long time spent in the outer space.

MicroRNAs as novel regulators of skeletal homeostasis

The human skeleton is composed of bone and cartilage. The differentiation of bone and cartilage cells from their bone marrow progenitors is regulated by an intrinsic network of intracellular and extracellular signaling molecules. In addition, cells coordinate their differentiation and function through reciprocal cell‐to‐cell interactions. MicroRNAs (miRNAs) are small, single‐stranded RNA molecules that inhibit protein translation by binding to messenger RNAs (mRNAs). Recent evidence demonstrates the involvement of miRNAs in multiple biological processes. However, their role in skeletal development and bone remodeling is still poorly understood. The aim of this thesis was to elucidate miRNA‐mediated gene regulation in bone and cartilage cells, namely in osteoblasts, osteoclasts, chondrocytes and bone marrow adipocytes. Comparison of miRNA expression during osteogenic and chondrogenic differentiation of bone marrow‐derived mesenchymal stem cells (MSCs) revealed several miRNAs with substantial difference between bone and cartilage cells. These miRNAs were predicted to target genes essentially involved in MSC differentiation. Three miRNAs, miR‐96, miR‐124 and miR‐199a, showed marked upregulation upon osteogenic, chondrogenic or adipogenic differentiation. Based on functional studies, these miRNAs regulate gene expression in MSCs and may thereby play a role in the commitment and/or differentiation of MSCs. Characterization of miRNA expression during osteoclastogenesis of mouse bone marrow cells revealed a unique expression pattern for several miRNAs. Potential targets of the differentially expressed miRNAs included many molecules essentially involved in osteoclast differentiation. These results provide novel insights into the expression and function of miRNAs during the differentiation of bone and cartilage cells. This information may be useful for the development of novel stem cell‐based treatments for skeletal defects and diseases.