Doxycycline post-exposure prophylaxis (doxy-PEP) is a preventative strategy demonstrated to reduce bacterial sexually transmitted infections in high-risk populations. However, the impact of doxy-PEP on antibiotic resistance acquisition in key members of our microbiomes, is as of yet unclear. For example, commensal are known reservoirs of resistance for gonococci through horizontal gene transfer (HGT), and are more likely to experience bystander selection due to doxy-PEP as they are universally carried.
View Article and Find Full Text PDFBackground: The use of immune checkpoint inhibitors (CPIs) has become a dominant regimen in modern cancer therapy, however immune resistance induced by tumor-associated macrophages (TAMs) with immune suppressive and evasion properties limits responses. Therefore, the rational design of immune modulators that can control the immune suppressive properties of TAMs and polarize them, as well as dendritic cells (DCs), toward a more proinflammatory phenotype is a principal objective in cancer immunotherapy.
Methods: Here, using a protein engineering approach to enhance cytokine residence in the tumor microenvironment, we examined combined stimulation of the myeloid compartment via tumor stroma-binding granulocyte-macrophage colony-stimulating factor (GM-CSF) to enhance responses in both DCs and T cells via stroma-binding interleukin-12 (IL-12).
Background: During infant aortic arch reconstruction, traditional electroencephalography (EEG) provides only qualitative data limiting neuromonitoring efficacy. Interhemispheric differences in the alpha:delta ratio (ADR) and suppression ratio (SR) measured using quantitative EEG generate numerical trends that may suggest cerebral ischemia. We hypothesized that the ADR and SR during cardiopulmonary bypass (CPB) would correlate with hemodynamics, and that ADR and SR interhemispheric differences would precede neurological injury from infants requiring aortic arch reconstruction.
View Article and Find Full Text PDFIt is commonly reported that rare variants may be more functionally related to complex diseases than common variants. However, individual rare variant association tests remain challenging due to low minor allele frequency in the available samples. This paper proposes an expectation maximization variable selection (EMVS) method to simultaneously detect common and rare variants at the individual variant level using family trio data.
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