Wound Status Early Outcome Sensor and 3D Construct Development.

摘要

Early identification of the specific proteins, which indicate delayed healing are critical to long-term success of the patient and the development of new treatments. It is the objective of this research to correlate changes in the proteome of wounds with clinical outcome and develop technology to sense these changes. A technique to classify a sampling timepoint based on a sliding 3 timepoint scale was developed. Proteomic analysis of the wound fluid utilized antibody dependent and independent techniques. The quantitative microarray demonstrated significantly different levels of S100A8 and TGFBR3 between healing and worsening wounds. The utilization of SRM-MS for wound fluid analysis is a significant development in the path to wound outcome diagnosis. Ultimately this work may allow the development of personalized wound care based on the proteomic characteristics of the wound.