Date on Master's Thesis/Doctoral Dissertation
12-2018
Document Type
Doctoral Dissertation
Degree Name
Ph. D.
Department
Interdisciplinary and Graduate Studies
Degree Program
Interdisciplinary Studies (Individualized Degree), PhD
Committee Chair
Frieboes, Hermann
Committee Co-Chair (if applicable)
Arteel, Gavin
Committee Member
Beverly, Levi
Committee Member
Merchant, Michael
Committee Member
Cave, Matthew
Author's Keywords
extracellular matrix; liver injury; macrophages; tumor modeling; alcoholic liver disease; innate immunity
Abstract
The overarching goals of the current work are to fill key gaps in the current understanding of alcohol consumption and the risk of metastasis to the liver. Considering the evidence this research group has compiled confirming that the hepatic matrisome responds dynamically to injury, an altered extracellular matrix (ECM) profile appears to be a key feature of pre-fibrotic inflammatory injury in the liver. This group has demonstrated that the hepatic ECM responds dynamically to alcohol exposure, in particular, sensitizing the liver to LPS-induced inflammatory damage. Although the study of alcohol in its role as a contributing factor to oncogenesis and metastatic progression has not been extensively investigated in basic science, it is clear from numerous clinical reports and meta-analyses that it would be a benefit to patients to understand the complexity of their comorbidities on a molecular level. It is well recognized that intramural research efforts are needed to understand the associated pathologies. Using signatures of liver ECM to predict cell surface integrin binding profile can establish personalized data that can be used clinically to determine therapeutic targets.
Recommended Citation
Hudson, Shanice V., "Innate immunity, the hepatic extracellular matrix, and liver injury: mathematical modeling of metastatic potential and tumor development in alcoholic liver disease." (2018). Electronic Theses and Dissertations. Paper 3075.
https://doi.org/10.18297/etd/3075
Included in
Biological and Chemical Physics Commons, Biostatistics Commons, Microarrays Commons, Multivariate Analysis Commons, Translational Medical Research Commons