The host response to trauma andburns is a highly complex biological and pathological process that dependscritically upon the regulation of the human immuno-inflammatory response. Thislarge-scale collaborative project will apply high throughput biologicaldiscovery tools to identify important dynamic relationships, which regulate theintegration of these complex processes with the expectation that this newknowledge will ultimately impact the treatment of burn and trauma patients. Ahighly interactive group of investigators with overlapping interests and uniquetechnologies will contribute to the effort.
The specific aims are: (1)Determine the set of phenotypes seen in the immuno-inflammatory host responseto injury using a testable, consensus-derived paradigm which describes fourindependent clinical recovery trajectories of patients suffering from injury.(2) Identify gene expression patterns as a result of the immuno-inflammatoryhost response to injury in circulating peripheral leukocytes. (3) Identifyrelationships among genes, and the clustering of genes based upon temporalexpression patterns. (4) Determine the relevance and degree ofcompartmentalization in murine models of burn and severe trauma injury. Toaccomplish these overall scientific goals, there are multiple tasks proposed inthis large-scale collaborative project, and the accomplishment of these taskswill serve as milestones for the project. In addition to other milestones,these include: (1) Develop and publish SOPs for patient treatments, thehandling of patient samples, and the analytical procedures for protein andcellular studies; (2) Determine the immuno-inflammatory phenotypes of patientswith injury; (3) Determine potential relationships between genes orco-regulated genes in the host response to injury and suggest fruitful areasfor future investigation; (4) Determine the relevance of murine models to thehuman phenotypes of severe injury; (5) Determine whether there are correlationsbetween protein and genomic responses in subcellular populations versus thetotal pool of circulating peripheral leukocytes and between circulatingleukocytes and those in peripheral tissues; and (6) Determine and publish thefrequency of common SNPs in the ethnic groups who suffer from trauma. Thesemilestones will be accomplished through the development of an administrative,information dissemination and data coordination, and computational analysis andmodeling core, in addition to four scientific cores.

Agency
National Institute of Health (NIH)
Institute
National Institute of General Medical Sciences (NIGMS)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54GM062119-08
Application #
7681810
Study Section
Special Emphasis Panel (ZGM1)
Project Start
Project End
Budget Start
2008-09-01
Budget End
2009-08-31
Support Year
8
Fiscal Year
2008
Total Cost
$857,135
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02199
Agarwal, Shailesh; Loder, Shawn; Brownley, Cameron et al. (2016) Inhibition of Hif1? prevents both trauma-induced and genetic heterotopic ossification. Proc Natl Acad Sci U S A 113:E338-47
Lopez, Maria-Cecilia; Efron, Philip A; Ozrazgat-Baslanti, Tezcan et al. (2016) Sex-based differences in the genomic response, innate immunity, organ dysfunction, and clinical outcomes after severe blunt traumatic injury and hemorrhagic shock. J Trauma Acute Care Surg 81:478-85
Sood, Ravi F; Gibran, Nicole S; Arnoldo, Brett D et al. (2016) Early leukocyte gene expression associated with age, burn size, and inhalation injury in severely burned adults. J Trauma Acute Care Surg 80:250-7
Mathias, Brittany; Lipori, Gigi; Moldawer, Lyle L et al. (2016) Integrating ""big data"" into surgical practice. Surgery 159:371-4
Mason, Stephanie A; Nathens, Avery B; Finnerty, Celeste C et al. (2016) Hold the Pendulum: Rates of Acute Kidney Injury are Increased in Patients Who Receive Resuscitation Volumes Less than Predicted by the Parkland Equation. Ann Surg 264:1142-1147
Gale, Stephen C; Kocik, Jurek F; Creath, Robert et al. (2016) A comparison of initial lactate and initial base deficit as predictors of mortality after severe blunt trauma. J Surg Res 205:446-455
Hsu, Jessie J; Finkelstein, Dianne M; Schoenfeld, David A (2015) Outcome-Driven Cluster Analysis with Application to Microarray Data. PLoS One 10:e0141874
Hou, Jiayi; Archer, Kellie J (2015) Regularization method for predicting an ordinal response using longitudinal high-dimensional genomic data. Stat Appl Genet Mol Biol 14:93-111
Yan, Shuangchun; Tsurumi, Amy; Que, Yok-Ai et al. (2015) Prediction of multiple infections after severe burn trauma: a prospective cohort study. Ann Surg 261:781-92
Kutcher, Matthew E; Howard, Benjamin M; Sperry, Jason L et al. (2015) Evolving beyond the vicious triad: Differential mediation of traumatic coagulopathy by injury, shock, and resuscitation. J Trauma Acute Care Surg 78:516-23

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