The paper in the Bulletin of Mathematical Biology describes a model of this process -- known as flocculation and sets the stage for further study of treatments that might accelerate clumping or make the clumps more stable. That, in turn, might help the body fight off infection more effectively.
Younger and his team have more research to do before their models yield results that might affect human treatment. But already, they are seeing the potential for how to improve the models and use them to simulate different aspects of human bacteremia and sepsis.
"We're trying to understand the rules for how bacteria traffic in the bloodstream -- and if you understand the timing of those events you might be able to better understand how best to detect the bloodstream infection when it's present," he says. "We're also working on ways to fundamentally change the rules of engagement between the bacteria and the host. There are mechanical features at play in terms of getting these bacteria in flowing blood out. If we can change the mechanics of that interaction, then we can potentially have a therapy that the bacteria don't really have an opportunity to defend against or develop resistance against. And that could be a useful therapy."
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| Contact: Kara Gavin kegavin@umich.edu 734-764-2220 University of Michigan Health System Source:Eurekalert |