Publications by authors named "B F Henson"

Article Synopsis
  • * Machine learning techniques were used to identify and rank potential non-hemolytic AMPs from two libraries of peptide sequences, leading to the synthesis and testing of 220 peptides against Methicillin-resistant Staphylococcus aureus (MRSA).
  • * Six promising AMPs were further analyzed for their effectiveness against various bacteria and cancer cell lines, revealing a successful strategy for creating effective and safe antimicrobial agents, while also setting a foundation for future research and machine learning applications in peptide design.
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Patients undergoing anthracycline-based cancer treatments have an increased risk of heart failure or worsening preexisting heart failure as well as adverse metabolic outcomes such as malnutrition and cachexia. This retrospective study explored the impact of sodium-glucose cotransporter 2 inhibitors (SGLT2i) on these outcomes in patients with heart failure previously treated with anthracyclines. Using the TriNetX research network, we identified 1545 patients with a history of SGLT2i use and 17,681 patients without a history of SGLT2i use.

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Most GWAS loci are presumed to affect gene regulation, however, only ∼43% colocalize with expression quantitative trait loci (eQTLs). To address this colocalization gap, we identify eQTLs, chromatin accessibility QTLs (caQTLs), and histone acetylation QTLs (haQTLs) using molecular samples from three early developmental (EDev) tissues. Through colocalization, we annotate 586 GWAS loci for 17 traits by QTL complexity, QTL phenotype, and QTL temporal specificity.

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The maturation of genomic surveillance in the past decade has enabled tracking of the emergence and spread of epidemics at an unprecedented level. During the COVID-19 pandemic, for example, genomic data revealed that local epidemics varied considerably in the frequency of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) lineage importation and persistence, likely due to a combination of COVID-19 restrictions and changing connectivity. Here, we show that local COVID-19 epidemics are driven by regional transmission, including across international boundaries, but can become increasingly connected to distant locations following the relaxation of public health interventions.

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