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What is Mathematical Biology and how useful is it

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Title: What is Mathematical Biology and how useful is it


1
What is Mathematical Biology and how useful is it?
  • Avner Friedman

2
  • What is life?
  • What is mathematical biology?
  • Wound healing
  • Hemodialysis
  • Tuberculosis (aging)
  • Glioblastoma

3
What is life?
  • Unit of life is a cell. Processes of living.
  • (according to F. Harold, The Way of the
    Cell, 2001)
  • Flux of matter and energy
  • Chemical activities absorb nutrients, produce
    biomass,
  • eliminate waste products
  • Adaptation
  • Structure and function evolve to promote
    organism survival
  • Organization
  • A bacterial cell consists of 300 million
    molecules,
  • assembled non-randomly
  • DNA ? RNA ? Protein is strategically planned
    and executed
  • Self-reproduction
  • Autonomously, not by external forces

4
What is Mathematical Biology?
  • Talking to biologists and getting familiar with
    their experiments and data with respect to a
    biological process.
  • Developing a mathematical model that describes
    the biological process (e.g., by differential
    equations).
  • Simulating and comparing the numerical results
    with experimental results and keep revising
    until the fit is satisfactory.
  • Using the model to make a new hypothesis and
    suggest
  • new experiments.

5
Experiments, data
Simulation
Mathematical model
Parameters estimation
6
Wound healing as a function of tissue oxygen
tension A mathematical model
  • R. Schugart, A. Friedman, R. Zao, C.K.
    Sen
  • PNAS
  • Chronic wounds represent a substantial public
  • health problem treating these wounds costs an
  • estimated 5-10 billion each year. Need to
  • develop tools to study genetic signature of
    wounds
  • under various conditions, and develop
    mathematical models.
  • Wound healing represents a well-orchestrated
    reparative response that occurs after all
    surgical procedures or traumatic injuries.
    Angiogenesis plays a central role in wound
    healing. In this work the role of oxygen is
    investigated, and the use of oxygen intervention
    (hyperbaric chamber) is considered.

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(2.1)
(2.2)
(2.3)
(2.4)
(2.5)
(2.6)
(2.7)
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A mathematical model of venous neointimal
hyperplasia formation
  • P. Budu-Grajdeanu, R. Schugart, A.
    Friedman, C. Valentine, B.H. Rovin
  • Theoretical Biology Medical Modeling
  • In hemodialysis the most common cause of
    vascular failure is neointimal hyperplasia of
    vascular smooth muscle cells at the venous
    anastomosis of fistulas or grafts.

14
Fistula and Graft in Hemodialysis
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A model on the influence of age on immunity to
infection with Mycobacterium tuberculosis
A. Friedman, J. Turner, B. Szomolay Experimental
Gerontology Increasing susceptibility to many
infectious diseases is highly associated with the
loss or delay in the generation of antigen
specific CD4 T cells mediated immunity. For
tuberculosis, where antigen specific CD4 T cell
derived IFN-g is essential, such a loss is
associated with aging, and it can lead to a
significant failure to control infection.
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Virotherapy in Glioblastoma
A. Friedman, J.J. Tian, G. Fulci, E.A.
Chiocca, and J. Wang Cancer Research, 2006
Glioblastoma is a brain tumor, very invasive,
life expectancy 1 year
glioblastoma
25
virus
cell
When the cell dies, a swarm of virus particles
burst out
b burst size replication number
26
  • Idea Use virus to destroy tumor cells
  • Oncolytic virus Genetically altered virus which
    is
  • Replication competent
  • Infects tumor cells and reproduces in them
  • Does not harm normal healthy cells
  • Virotherapy Actively tested in clinical trials
    on various types of cancer
  • Two important factors
  • Safety
  • Efficacy

27
Factors to be considered
  • The immune system cells which detect virus and
    virus-infected cells, and destroy them
  • Cyclophasphamide (CPA) suppresses the innate
    immune response
  • During infection, the population of immune cells
    increases dramatically. When the infection is
    gone, the population of immune cells returns to
    its normal size (quadratic clearance).

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uninfected cell
(1)
infected cell
(2)
necrotic cells
(3)
immune cells
(4)
31
virus particles
(5)
(6)
radial velocity
(7)
32
Tumor Radius
33
  • b large
  • infected (uninfected )
  • immune and kills infected and virus
  • - then immune cells kill themselves
  • immune
  • In the meantime
  • uninfected cells
  • Remaining virus renew attack
  • infected

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Conclusions
  • OV hrR3 cannot eradicate glioma.
  • If however b can be increased to 150 then the
    radius will shrink and become very small (even
    without CPA)
  • CPA will help a little bit in decreasing the
    radius, but its primary effect is decreasing the
    density of uninfected tumor cells thus reducing
    the risk of secondary tumor.
  • Protocols of CPA treatment (weekly, or
    double-dose biweekly) do not make a significant
    difference.
  • Problem
  • Provide vigorous mathematical proof to the
    numerical results.
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