A novel laboratory model has revealed clues to how blood clotting starts, an approach that has potential to reveal mechanisms behind a variety of reactions within the body.
Researchers at the University of Chicago have crafted a simple model for predicting when and where hemostasis -- the technical term for blood clotting -- will occur.
The microfluidic system that they created focuses on the interactions between blood and surfaces patterned to trigger blood clotting. It allows the researchers to separately monitor clotting in both blood plasma and a chemical model.
The researchers, led by National Science Foundation CAREER awardee Rustem Ismagilov, believe the methodology may prove useful in a range of studies, adding a powerful tool for predicting the dynamics of other complex biochemical networks.
This image on the left shows clotting occurring on a large area of vascular damage, but not small areas. A chemical model for blood clotting developed at the University of Chicago predicted this phenomenon. The Chicago scientists verified this prediction in the laboratory using their microfluidic system, which enables them to manipulate fluids on a minute scale. The team’s in vitro experiments (conducting in an artificial environment), may also apply in vivo (in the living body).
Image credit: Nicolle Rager Fuller, National Science Foundation.
The system successfully modeled the workings of a complex biochemical network by showing how the start of clotting depends upon localization of clotting stimuli. The researchers were even able to use the model to predict behavior that they later confirmed with human blood plasma, finding that blood can be exposed to significant amounts of clotting stimuli, such as tissue factor, without initiating clotting.
Lead author Christian Kastrup and his colleagues present their research results in the Oct. 16, 2006, online Early Edition of the Proceedings of the National Academy of Sciences.
For additional information, see the University of Chicago press release
Future Research
Down the road, this could lead to a dymanic model and a smart map/ early warning/ Body Area Network (Ban) alert system.
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