Mathematical Modeling and Simulation of Human Motion
Using a 3-Dimentional, Multi-Segment Coupled Pendulum System
The
use of mathematical models to investigate the dynamics of human movement relies
on two approaches: forward dynamics and inverse dynamics. In my investigation a
new modeling approach called the Boundary Method will be used. This method
addresses some of the disadvantages of both the forward and the inverse
approach. The method yields as output both a set of potential movement
solutions to a given motor task and the net muscular impulses required to
produce those movements. The input to the boundary method is a finite and
adjustable number of critical target body configurations. In each phase of the
motion that occurs between two contiguous target configurations the equations
of motion are solved in the forward direction as a two point ballistic boundary
value problem. In the limit as the number of specified target
configurations increases the boundary method approaches a stable algorithm for
doing inverse dynamics.
As a continuation of my
master’s thesis work, I am interested in using the boundary method in studying
and analyzing different motor tasks of athletes with sport injuries or subjects
with disabilities.
Local growth factor delivery to accelerating impaired osseous
repair
Osteoporoses and impaired bone
formation / regeneration have been shown to be a long term systemic effects of
diabetes mellitus and other hormonal deficiencies in animal and clinical
studies.
Recent advances
in understanding the biology of osteogenesis have opened new avenues for
enhancing bone repair via the use of growth factors and cytokines as potential
therapeutic agents. The short biological half lives of growth factors and
cytokines may impose sever restrains on their clinical usefulness, therefore,
convenient methods must be developed for obtaining sustained therapeutic
concentrations of the appropriate factors locally around the fracture site. The
key growth factors characterized as being present in the fracture site are
TGF-?1, TGF-?2, BMP-2, BMP-3, BMP-4, and BMP-7 (OP-1), PDGF, and acidic and
basic FGF (FGF-1 and FGF-2).
Only a few
studies have explored the effects of locally applied growth factor upon normal
and impaired fracture healing. Different approaches were used to achieve local
growth factor delivery, including the use of mechanical external pumps,
implantable biodegradable scaffolds, and gene transfer.
The aim of my research is to investigate
calcium salts (tri-calcium phosphate and calcium sulfate) and other bone biocompatible
materials as possible delivery vehicles for key growth factors and cytokines to
accelerate impaired osseous repair. The hypothesis is that these
bone-biocompatible carriers will cause a prolonged growth factor/cytokine
release that will normalize not only early but also late parameters of impaired
osseous repair. The outcomes of this research will advance the fracture repair
biotechnology and have a translational potential for clinical application. The
cost-benefit of the outcomes is substantial especially in reducing
hospitalization time and reducing medication cost.
Tissue engineering and cell based therapy to
accelerate impaired osseous repair
New techniques have been
developed, many derived from biotechnology, that enhance and expand the use of
human cells and tissues as therapeutic products. These new techniques hold the
promise that some day it will provide therapies for many serious medical
conditions.
With the
increasing numbers of trauma, cancer cases and diabetes mellitus cases every
year, it is important to explore and introduce the use of new therapeutic
technologies, i.e. biotechnology, tissue engineering, and cell based therapy in
the health care system. In the United
States the value of the collective cell therapy
market was estimated to be $26.6 billion in 2005. Projections for 2010 and 2015
expected the number to become $56.2 billion and 96.3 billion respectively. (Cell
Therapy-Technologies, Markets, and Companies).
Orthopaedic
surgeons are challenged every day to accelerate healing, reduce cost, and
reduce hospitalization time. Several approaches have
been utilized to elicit the formation of bone in segmental defects and
facilitate the healing process. These approaches have included the implantation
of osteoconductive extracellular scaffolds and the implantation of bone
morphogenetic proteins in various matrices. Another concept is based upon ex vivo expansion of pluripotent
mesenchymal stem cells (MSC) loaded onto a carrier system.
The MSC are self renewing pluripotent progenitor cells that
have been isolated from the whole marrow of chicks, mice, rats, rabbits, goats,
and humans. These cells have the capability of differentiating into
osteoblasts, chondrocytes, adipocytes, tenocytes, and myoblasts. Potential
advantages of this strategy consist of decreased need for massive cellular
proliferation and osteoblast progenitor cell chemotaxis into the defect as well
as development of appropriate signaling for early bone formation in the graft
site. The role of MSC in bone regeneration and formation continues to be
defined, and manipulation of MSC has resulted in new therapeutic strategies.
In various
fracture healing models, diabetes correlated with a reduction in fracture
callus cellular proliferation, collagen synthesis, and biomechanical properties.
The mechanism by which diabetes impairs fracture healing is unknown. In normal
fracture healing a blood clot forms at the fracture site that entraps platelets
within the fibrin matrix. The platelet ?-granules act as a reservoir of
critical early growth factors [1]. Degranulation of the
?-granules releases multiple growth factors, including platelet derived growth
factor (PDGF) and transforming growth factor b
(TGF-?), into the fracture site. Previous studies in diabetic rats, however,
have demonstrated that at early time points after
fracture (2, 4 and 7 days) there are reduced levels of PDGF, TGF-?,
insulin-like growth factor I (IGF-I) and vascular endothelial growth factor
(VEGF) present [2, 3] and a corresponding decrease in cellular proliferation at
the fracture site.
The aim of my research is to investigate ex vivo
expansion of MSC in accelerating impaired osseous repair. The hypothesis behind
this research is that the introduction of ex vivo expansions of MSC would mitigate
against compromised healing in a diabetic fracture model.
Modeling and Simulating the Effects of Local Growth
Factors on Osseous Repair
Fracture healing is a complex
process that involves the sequential recruitment of cells and the specific
temporal expression of genes essential for bone repair. While the process by
which fracture repair occurs is well describe, relatively little is understood
about the coordinate regulation of events leading to successful repair.
Furthermore, even less is understood about how the process can fail, leading to
cases of delayed union, nonunion, and pseudoarthrosis. Local growth factors are
believed to play an integral role in the regulation of bone formation,
resorption and remodeling and are expressed at different times during fracture
healing.
Based on
experimental findings in rats, the aim of my research will be the development
of a mathematical model that investigates the effect of local growth factors on
normal and impaired fracture healing.
Faced with the
task of understanding a complex system, it is often useful to extract its most
essential features and use them to create a simplified representation of the
system, or a ‘model’ of the system. A model allows one to observe more closely
the behavior of the system and to make predictions regarding its performance
under altered input conditions and different system parameters [4].
In vivo
and in vitro experiments have demonstrated that cell activity during
bone tissue morphogenesis is initiated and tightly regulated by locally
produced growth factors and matrix proteins [5]. Although in secondary
fracture repair a variable mechanical and angiogenic environment may influence
the development of cartilage and bone tissue, tissue differentiation is
initiated and largely regulated by autocrine and paracrine growth factors.
These factors constitute promising therapeutic agents for complicated
fractures, distraction osteogenesis and for other clinical skeleton conditions such
as osteoporosis. Before their use, however, which requires precisely
determining growth factor dosage, treatment duration and delivery method, a
better understanding of their regulatory mechanisms is needed.
Mathematical
description may help us understand the regulatory mechanisms involved in bone
regeneration and provides a framework to design experiments and understand
pathological conditions.
Most of the
early theoretical models correlate tissue histology to the mechanical
environment [6] [7] [8]. However, these models did
not account for growth factor concentration involved in the repair process.
Moreover, these models solve for discrete time points only and fail in
predicting a continuous spatio-temporal progression of the healing process.
Based on the
hypothesis that the spatio-temporal production of local growth factors in the
fracture callus determines where cartilage or bone tissue forms, the main
objective of my project is to develop a mathematical framework to simulate the
effects of critical local growth factors on cell migration, differentiation,
and proliferation in the fracture callus. Furthermore, the long term objective
would be combining the contribution of both the mechanical environment and the
role of local growth factors in one mathematical framework that will describe
the spatio-temporal progression of normal and impaired osseous healing.
The short term
objectives would be:
1)
Modeling and simulating
Mesenchymal Stem Cells (MSCs) proliferation in the fracture callus.
2)
Modeling and simulating
Mesenchymal Stem Cells (MSCs) migration in the fracture callus.
3)
Modeling and simulating
Mesenchymal Stem Cells (MSCs) differentiation into Osteoblast linage in the
fracture callus.
4)
Modeling and simulating
Mesenchymal Stem Cells (MSCs) differentiation into Chondryocyte linage in the
fracture callus.
Reference:
1. Slater
M, Patava J, Kingham K, et al. 1995. Involvement
of platelets in stimulating osteogenic activity. J Orthop Res 13(5): p. 655-63.
2. Beam HA, O'Connor JP, Parsons JR, et
al. Reductions in Early Growth Factors in
Diabetic Fracture Callus. in Orthopaedic
Research Society. 2002. Dallas, TX.
3. Gandhi A, Doumas C, O'Connor JP, et al.
2006. The effects of local platelet rich
plasma delivery on diabetic fracture healing. Bone 38(4): p. 540-6.
4. Prendergast PJ. 1997. Finite element models in tissue mechanics
and orthopaedic implant design. Clin Biomech (Bristol, Avon) 12(6): p. 343-366.
5. Bailon-Plaza A and van der Meulen MC.
2001. A mathematical framework to study
the effects of growth factor influences on fracture healing. J Theor Biol 212(2): p. 191-209.
6. Ament C and Hofer EP. 2000. A fuzzy logic model of fracture healing.
J Biomech 33(8): p. 961-8.
7. Blenman PR, Carter DR, and Beaupre GS.
1989. Role of mechanical loading in the
progressive ossification of a fracture callus. J Orthop Res 7(3): p. 398-407.
8. Claes LE and Heigele CA. 1999. Magnitudes of local stress and strain along
bony surfaces predict the course and type of fracture healing. J Biomech 32(3): p. 255-66.