Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Acetamides (1)
- Administration (1)
- Animal (1)
- Animals (1)
- Anti-Bacterial Agents (1)
-
- Bacterial Load (1)
- Bicyclo Compounds (1)
- Bradykinin (1)
- Clindamycin (1)
- Community-Acquired Infections (1)
- Daptomycin (1)
- Diabetes Mellitus (1)
- Disease (1)
- Disease Models (1)
- Distribution (1)
- Dna methylation (1)
- Doxycycline (1)
- Epistasis (1)
- Fetal (1)
- Growth restriction (1)
- Heterocyclic (1)
- Inbred C57BL (1)
- Intrauterine environment (1)
- Luminescent Measurements (1)
- Maladie (1)
- Male (1)
- Methicillin-Resistant Staphylococcus aureus (1)
- Mice (1)
- Mupirocin (1)
- Oral (1)
Articles 1 - 3 of 3
Full-Text Articles in Medicine and Health Sciences
In Vivo Bioluminescence Imaging To Evaluate Systemic And Topical Antibiotics Against Community-Acquired Methicillin-Resistant Staphylococcus Aureus-Infected Skin Wounds In Mice, Yi Guo, Romela Irene Ramos, John S. Cho, Niles P. Donegan, Ambrose L. Cheung, Lloyd S. Miller
In Vivo Bioluminescence Imaging To Evaluate Systemic And Topical Antibiotics Against Community-Acquired Methicillin-Resistant Staphylococcus Aureus-Infected Skin Wounds In Mice, Yi Guo, Romela Irene Ramos, John S. Cho, Niles P. Donegan, Ambrose L. Cheung, Lloyd S. Miller
Dartmouth Scholarship
Community-acquired methicillin-resistant Staphylococcus aureus (CA-MRSA) frequently causes skin and soft tissue infections, including impetigo, cellulitis, folliculitis, and infected wounds and ulcers. Uncomplicated CA-MRSA skin infections are typically managed in an outpatient setting with oral and topical antibiotics and/or incision and drainage, whereas complicated skin infections often require hospitalization, intravenous antibiotics, and sometimes surgery. The aim of this study was to devel
Developmental Genes Targeted For Epigenetic Variation Between Twin-Twin Transfusion Syndrome Children, Carmen J. Marsit, Devin C. Koestler, Debra Watson-Smith, Charlotte M. Boney
Developmental Genes Targeted For Epigenetic Variation Between Twin-Twin Transfusion Syndrome Children, Carmen J. Marsit, Devin C. Koestler, Debra Watson-Smith, Charlotte M. Boney
Dartmouth Scholarship
Background: Epigenetic mechanisms are thought to be critical in mediating the role of the intrauterine environment on lifelong health and disease. Twin-twin transfusion syndrome (TTTS) is a rare condition wherein fetuses share the placenta and develop vascular anastomoses, which allow blood to flow between the fetuses. The unequal flow results in reciprocal hypo- and hypervolemia in the affected twins, striking growth differences and physiologic adaptations in response to this significant stressor. The donor twin in the TTTS syndrome can be profoundly growth restricted and there is likely a nutritional imbalance between the twins. The consequences of TTTS on fetal programming …
A Simple And Computationally Efficient Approach To Multifactor Dimensionality Reduction Analysis Of Gene-Gene Interactions For Quantitative Traits, Jiang Gui, Jason H. Moore, Scott M. Williams, Peter Andrews, Hillege, Hans L. Hillege, Hans L., Pim Van Der Harst, Gerjan| Navis, Wiek H. Van Gilst, Folkert W. Asselbergs, Diane| Gilbert-Diamond
A Simple And Computationally Efficient Approach To Multifactor Dimensionality Reduction Analysis Of Gene-Gene Interactions For Quantitative Traits, Jiang Gui, Jason H. Moore, Scott M. Williams, Peter Andrews, Hillege, Hans L. Hillege, Hans L., Pim Van Der Harst, Gerjan| Navis, Wiek H. Van Gilst, Folkert W. Asselbergs, Diane| Gilbert-Diamond
Dartmouth Scholarship
We present an extension of the two-class multifactor dimensionality reduction (MDR) algorithm that enables detection and characterization of epistatic SNP-SNP interactions in the context of a quantitative trait. The proposed Quantitative MDR (QMDR) method handles continuous data by modifying MDR’s constructive induction algorithm to use a T-test. QMDR replaces the balanced accuracy metric with a T-test statistic as the score to determine the best interaction model. We used a simulation to identify the empirical distribution of QMDR’s testing score. We then applied QMDR to genetic data from the ongoing prospective Prevention of Renal and Vascular End-Stage Disease (PREVEND) study.