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Microclot array elastometry for integrated measurement of thrombus formation and clot biomechanics under fluid shear

Zhaowei Chen, Jiankai Lu, Changjie Zhang, Isaac Hsia, Xinheng Yu, Leo Marecki, Eric Marecki, Mohammadnabi Asmani, Shilpa Jain, Sriram Neelamegham () and Ruogang Zhao ()
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Zhaowei Chen: State University of New York at Buffalo
Jiankai Lu: State University of New York at Buffalo
Changjie Zhang: State University of New York at Buffalo
Isaac Hsia: State University of New York at Buffalo
Xinheng Yu: State University of New York at Buffalo
Leo Marecki: State University of New York at Buffalo
Eric Marecki: State University of New York at Buffalo
Mohammadnabi Asmani: State University of New York at Buffalo
Shilpa Jain: John R. Oishei Children’s Hospital of Buffalo
Sriram Neelamegham: State University of New York at Buffalo
Ruogang Zhao: State University of New York at Buffalo

Nature Communications, 2019, vol. 10, issue 1, 1-13

Abstract: Abstract Blood clotting at the vascular injury site is a complex process that involves platelet adhesion and clot stiffening/contraction in the milieu of fluid flow. An integrated understanding of the hemodynamics and tissue mechanics regulating this process is currently lacking due to the absence of an experimental system that can simultaneously model clot formation and measure clot mechanics under shear flow. Here we develop a microfluidic-integrated microclot-array-elastometry system (clotMAT) that recapitulates dynamic changes in clot mechanics under physiological shear. Treatments with procoagulants and platelet antagonists and studies with diseased patient plasma demonstrate the ability of the system to assay clot biomechanics associated with common antiplatelet treatments and bleeding disorders. The changes of clot mechanics under biochemical treatments and shear flow demonstrate independent yet equally strong effects of these two stimulants on clot stiffening. This microtissue force sensing system may have future research and diagnostic potential for various bleeding disorders.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-10067-6

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DOI: 10.1038/s41467-019-10067-6

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