Systems Biology Based Tools for Modeling Platelet Storage Lesion for Optimal Blood Transfusions

Award Information
Agency: Department of Defense
Branch: Defense Health Program
Contract: W81XWH-15-C-0185
Agency Tracking Number: H151-011-0081
Amount: $149,967.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: DHP15-011
Solicitation Number: 2015.1
Timeline
Solicitation Year: 2015
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-09-28
Award End Date (Contract End Date): 2016-04-29
Small Business Information
701 McMillian Way NW, Suite D, Huntsville, AL, 35806
DUNS: 185169620
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Andrzej Przekwas
 Senior VP and CTO
 (256) 726-4800
 proposals-contracts@cfdrc.com
Business Contact
 Deb Phipps
Phone: (256) 726-4884
Email: deb.phipps@cfdrc.com
Research Institution
N/A
Abstract
Trauma is the leading cause of death in civilian and military environments and acute hemorrhage contributes to a large portion of these fatalities. Recent experience from Iraq and Afghanistan has demonstrated the crucial role of blood products in the care of critically injured soldiers. Unlike plasma and red blood cells, which can be cold stored for longer time periods, platelets can be safely stored only for few days before they develop a condition known as storage lesion. Better understanding of the mechanisms and molecular pathways involved in this damage could help in the development of novel storage methods and improved platelet functions. We propose to develop an integrated systems biology- and physiology- based computational tools to model the deleterious effects of platelet storage and to explore novel methods of storage and protection. A multiscale kinetic model involving platelet energy metabolism, signaling pathways and biophysical model will be developed to analyze the mechanisms of lesion development and methods of platelet protection. The model will be validated on published experimental and/or clinical data. The effects of storage temperature, media composition and selected inhibitors will be investigated and model will be used to develop optimal storage conditions. The final software framework and validated models will be delivered to the Army.

* Information listed above is at the time of submission. *

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