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Full-Text Articles in Medicine and Health Sciences
Haemophilus Influenzae Responds To Glucocorticoids Used In Asthma Therapy By Modulation Of Biofilm Formation And Antibiotic Resistance, Chris S. Earl, Tee Wooi Keong, Shi-Qi An, Sarah Murdoch, Yvonne Mccarthy, Junkal Garmendia, Joseph Ward, J Maxwell Dow, Liang Yang, George A. O'Toole, Robert P. Ryan
Haemophilus Influenzae Responds To Glucocorticoids Used In Asthma Therapy By Modulation Of Biofilm Formation And Antibiotic Resistance, Chris S. Earl, Tee Wooi Keong, Shi-Qi An, Sarah Murdoch, Yvonne Mccarthy, Junkal Garmendia, Joseph Ward, J Maxwell Dow, Liang Yang, George A. O'Toole, Robert P. Ryan
Dartmouth Scholarship
Glucocorticosteroids are used as a main treatment to reduce airway inflammation in people with asthma who suffer from neutrophilic airway inflammation, a condition frequently associ- ated with Haemophilus influenzae colonization. Here we show that glucocorticosteroids have a direct influence on the behavior of H. influenzae that may account for associated difficulties with therapy. Using a mouse model of infection, we show that cortico- steroid treatment promotes H. influenzae persistence. Transcrip- tomic analysis of bacteria either isolated from infected mouse airway or grown in laboratory medium identified a number of genes encoding regulatory factors whose expression responded to the presence of …
Influence Networks Based On Coexpression Improve Drug Target Discovery For The Development Of Novel Cancer Therapeutics, Nadia M. Penrod, Jason H. Moore
Influence Networks Based On Coexpression Improve Drug Target Discovery For The Development Of Novel Cancer Therapeutics, Nadia M. Penrod, Jason H. Moore
Dartmouth Scholarship
Background: Thedemandfornovelmolecularlytargeteddrugswillcontinuetoriseaswemoveforwardtowardthe goal of personalizing cancer treatment to the molecular signature of individual tumors. However, the identification of targets and combinations of targets that can be safely and effectively modulated is one of the greatest challenges facing the drug discovery process. A promising approach is to use biological networks to prioritize targets based on their relative positions to one another, a property that affects their ability to maintain network integrity and propagate information-flow. Here, we introduce influence networks and demonstrate how they can be used to generate influence scores as a network-based metric to rank genes as potential drug targets. …