Vocal fold injury engenders a complex inflammation and wound healing response in laryngeal mucosal tissue, which commonly leads to scarring. Because individual variability in the formation and treatment for vocal fold scarring is considerable, the clinical decision making process for medical management is daunting. The work proposed in this R03 application exploits a systems biology approach that combines experimental and computational techniques to develop a computational model to assist in understanding the inflammatory and healing process associated with vocal fold scarring. Such models have provided valuable insights into the pathophysiology at the individual level and suggested pathways for inflammation treatment and healing optimization that are patient-specific. The overarching goal is to generate a clinical tool that will ultimately aid clinicians i prescribing personalized treatment for patients with vocal fold injury. The development of such a clinical tool requires the collection of tissue-specific biological data. We will extend our preliminary computational model's infrastructure, based on the new vocal fold data, to enhance its biological representation.
The specific aims of this application are: (1) to count immune and repair cells including neutrophils, macrophages, endothelial cells and fibroblasts in surgically injured rat vocal folds using flow cytometry, up to 4 weeks post injury;(2) to identify the cell source of a damage-associated molecular pattern molecule (DAMP) and measure the levels of the DAMP and cytokines in vocal fold tissue and blood serum from rats following vocal fold surgery using immunohistochemistry and enzyme-linked immunosorbent assay respectively, up to 4 weeks post injury;(3) to implement our existing computational model on a high performance computing platform with an expanded infrastructure through the addition of biological data.

Public Health Relevance

This project seeks to advance the science of personalized medicine in voice care. We propose to develop a computer-based model to characterize the biological processes of wound healing in injured vocal folds. We will also upgrade the computer model to run at faster speeds. The findings obtained from this work will help us develop an effective computer-testing program for researchers and clinicians to comprehend the complex biological processes in vocal fold inflammation and healing, and eventually to tailor-make therapies for patients with vocal fold injury.

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Small Research Grants (R03)
Project #
1R03DC012112-01A1
Application #
8368235
Study Section
Special Emphasis Panel (ZDC1-SRB-L (50))
Program Officer
Shekim, Lana O
Project Start
2012-09-15
Project End
2015-08-31
Budget Start
2012-09-15
Budget End
2013-08-31
Support Year
1
Fiscal Year
2012
Total Cost
$154,000
Indirect Cost
$52,000
Name
University of Maryland College Park
Department
Other Health Professions
Type
Schools of Arts and Sciences
DUNS #
790934285
City
College Park
State
MD
Country
United States
Zip Code
20742