Tuesday, June 16, 2009
Children born without thymus glands have
given Duke University Medical Center researchers a rare opportunity to watch as
a new immune system develops its population of infection-fighting T-cells.
Researchers led by Thomas Kepler, Ph.D., Division Chief of Computational
Biology, tracked three young patients after thymus tissue transplantation to
measure the growth of a T cell population – with all of its diversity. Duke
University pioneered thymus transplantation for children born with DiGeorge
Syndrome, lacking a thymus, under the direction of Louise Markert, M.D., Ph.D.
As transplanted thymus tissue took hold in the children, the team
studied signals related to specific T-cell receptors and more general resources
like cytokine signals or space availability. They assessed T cell receptor
diversity to determine overall T cell levels and to count T cells of certain
kinds.
"What we haven't understood until now is how maintaining the
diversity of T cells with different receptors works while a body also maintains
appropriate T cell numbers overall," said Kepler, who is senior author of a
paper published in PloS Computational Biology. "Our paper is the first to use
information about changes in T cell receptor diversity to infer properties of
the T cell regulatory mechanisms."
The immune system needs a variety of
different T cells to fight all kinds of pathogens. "The fastest way to grow the
total T cell population is to impede diversity and grow just a few kinds of T
cells," Kepler said. "We set out to understand more about the regulation of this
fine balance."
Kepler and lead author Stanca Ciupe, Ph.D., a
postdoctoral fellow in computational immunology, created mathematical formulas
to model the contribution of resources on the regulation of T cell population
growth and diversity. They found that factors that are blind to T cell receptors
and treat all T cells alike are a thousand times more common than the factors
that regulate receptor-specific development of T cells.
"The findings
open up the possibility of studying the development of T cells in children with
DiGeorge syndrome in a rigorous and quantifiable way, because we can determine
which factors are most important," said Markert, a Duke Associate Professor of
Pediatrics in the Division of Allergy and Immunology.
For example, one
of the transplants appeared not to be functioning, based on a biopsy. Using the
computations devised for this research, however, the team was able to track the
rise in certain types of T cells – the transplant took longer to develop T cells
than most other cases. In the end, the child's immune system matured, T cells
developed, and the child avoided undergoing a second transplantation.
"What is novel is our ability to take the results from assays and
quantify them to get a numerical measure of diversity, to get a picture of what
really happens when T cells mature," Ciupe said. "Secondly, we were able to
develop a mathematical model to feed the data into."
"It will require a
significant mathematical effort to see the full promise of human systems biology
come to fruition," Kepler said. "So much scientific work is done in model
organisms, but we can't manipulate humans in those ways. This paper shows that
with more sophisticated mathematical tools, you can get the information you need
to learn about human biology without enormous amounts of manipulation of
people."
Ciupe said that using applying mathematics to biological
systems and biological engineering will continue to develop new applications for
humans. Mathematics might help to deliberately design human vaccines, for
instance. "Physics and mathematics have a symbiotic relationship and resulted in
the laws of physics," she said. "Combining biology and math is an iterative
process, and someday we may have laws of biology in the same way."
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Duke University Medical Center