@article{b8f6b1fba08f4f2b98cd6ad406560464,
title = "Wound outcome in combat injuries is associated with a unique set of protein biomarkers",
abstract = "Background: The ability to forecast whether a wound will heal after closure without further debridement(s), would provide substantial benefits to patients with severe extremity trauma.Methods: Wound effluent is a readily available material which can be collected without disturbing healthy tissue. For analysis of potential host response biomarkers, forty four serial combat wound effluent samples from 19 patients with either healing or failing traumatic- and other combat-related wounds were examined by 2-D DIGE. Spot map patterns were correlated to eventual wound outcome (healed or wound failure) and analyzed using DeCyder 7.0 and differential proteins identified via LC-MS/MS.Results: This approach identified 52 protein spots that were differentially expressed and thus represent candidate biomarkers for this clinical application. Many of these proteins are intimately involved in inflammatory and immune responses. Furthermore, discriminate analysis further refined the 52 differential protein spots to a smaller subset of which successfully differentiate between wounds that will heal and those that will fail and require further surgical intervention with greater than 83% accuracy.Conclusion: These results suggest candidates for a panel of protein biomarkers that may aid traumatic wound care prognosis and treatment. We recommend that this strategy be refined, and then externally validated, in future studies of traumatic wounds.",
keywords = "2-D DIGE, Biomarker discovery, Proteomics, Traumatic wound, Wound dehiscence, Wound effluent",
author = "Chromy, {Brett A.} and Angela Eldridge and Forsberg, {Jonathan A.} and Brown, {Trevor S.} and Kirkup, {Benjamin C.} and Crystal Jaing and Be, {Nicholas A.} and Eric Elster and Luciw, {Paul A.}",
note = "Funding Information: The project depicted was sponsored by the U.S. Army Medical Research and Materiel Command (Award number: MIPR1EO89M1115). The U.S. Army Medical Research Acquisition Activity (820 Chandler Street, Fort Detrick MD 21702–5014) is the awarding and administering acquisition office. Partial funding for this project was also provided by the Proteomics Initiative of the Department of Pathology and Laboratory Medicine at U.C. Davis. We gratefully acknowledge Ray Lenhoff for very helpful discussions in the earliest stage of this study. The opinions or assertions contained herein are the private views of the authors, and are not to be construed as official, or as reflecting the position or policy of the government, including the Departments of the Army, Navy, or Defense. Funding Information: The views expressed in this manuscript are those of the authors and do not reflect the official policy of the Department of the Army, Department of the Navy, the Department of Defense or the United States Government. This effort was supported (in part) by the U.S. Navy Bureau of Medicine and Surgery under the Medical Development Program and Office of Naval Research. Some authors are military service members (or employees of the U.S. Government). This work was prepared as part of our official duties. Title 17 U. S.C. 105 provides the “Copyright protection under this title is not available for any work of the United States Government.” Title 17 U.S.C. 101 defines a U.S. Government work as a work prepared by a military service member or employee of the U.S. Government as part of that person{\textquoteright}s official duties. I/We certify that all individuals who qualify as authors have been listed; each has participated in the conception and design of this work, the analysis of data (when applicable), the writing of the document, and the approval of the submission of this version; that the document represents valid work; that if we used information derived from another source, we obtained all necessary approvals to use it and made appropriate acknowledgements in the document; and that each takes public responsibility for it.",
year = "2013",
month = nov,
day = "6",
doi = "10.1186/1479-5876-11-281",
language = "English",
volume = "11",
journal = "Journal of Translational Medicine",
issn = "1479-5876",
number = "1",
}