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PMID: 17043240 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Modular chemical mechanism predicts spatiotemporal dynamics of initiation in the complex network of hemostasis.

Kastrup CJ, Runyon MK, Shen F, Ismagilov RF

Abstract

This article demonstrates that a simple chemical model system, built by using a modular approach, may be used to predict the spatiotemporal dynamics of initiation of blood clotting in the complex network of hemostasis. Microfluidics was used to create in vitro environments that expose both the complex network and the model system to surfaces patterned with patches presenting clotting stimuli. Both systems displayed a threshold response, with clotting initiating only on isolated patches larger than a threshold size. The magnitude of the threshold patch size for both systems was described by the Damköhler number, measuring competition of reaction and diffusion. Reaction produces activators at the patch, and diffusion removes activators from the patch. The chemical model made additional predictions that were validated experimentally with human blood plasma. These experiments show that blood can be exposed to significant amounts of clot-inducing stimuli, such as tissue factor, without initiating clotting. Overall, these results demonstrate that such chemical model systems, implemented with microfluidics, may be used to predict spatiotemporal dynamics of complex biochemical networks.

MeSH Terms
Blood Coagulation Hemostasis Humans Models, Biological Models, Chemical
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Kastrup Christian J
Department of Chemistry and Institute for Biophysical Dynamics, University of Chicago, 929 West 57th Street, Chicago, IL 60637, USA.
Runyon Matthew K
Shen Feng
Ismagilov Rustem F
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Article Info
Journal
Proceedings of the National Academy of Sciences of the United States of America
Abbr.
Proc Natl Acad Sci U S A
ISSN
0027-8424
Published
2006-10-24
Epub
2006-00-16
Pages
15747-52
Language
English
Region
United States
NLM ID
7505876
PMCID
PMC1635074
Subset
IM
Corrections
CommentIn
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