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The angiopoietin (Ang)-Tie axis, critical for endothelial cell function and vascular development, is a promising therapeutic target for treating vascular disorders and inflammatory conditions like sepsis. This study aimed to enhance the binding affinity of recombinant Ang1 variants to the Tie2 and explore their therapeutic potential. Structural insights from the Ang1-Tie2 complex enabled the identification of key residues within the Ang1 receptor binding domain (RBD) critical for Tie2 interaction.

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Background And Aims: Patients with very early-onset inflammatory bowel disease (VEO-IBD), with an age of onset < 6 years, can present with severe manifestations and may require biologic therapy. Infliximab and adalimumab are approved for induction and maintenance in pediatric IBD patients but are licensed only above the age of 6 years. Effectiveness and safety data on adalimumab in this patient population are lacking.

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Nonselective beta blockade enhances gut microbiome diversity in a rodent model of trauma, hemorrhage, and chronic stress.

J Trauma Acute Care Surg

November 2024

From the Department of Surgery and Sepsis and Critical Illness Research Center (J.A.M., L.S.K., E.E.P., C.G.A., K.B.K., L.E.B., P.A.E., A.M.M.), University of Florida College of Medicine, Gainesville; and The Gut Biome Lab, Department of Health, Nutrition, and Food Sciences (G.P., R.N.), Florida State University College of Education, Health, and Human Sciences, Tallahassee, Florida.

Background: Traumatic injury leads to gut dysbiosis with changes in microbiome diversity and conversion toward a "pathobiome" signature characterized by a selective overabundance of pathogenic bacteria. The use of non-selective beta antagonism in trauma patients has been established as a useful adjunct to reduce systemic inflammation. We sought to investigate whether beta-adrenergic blockade following trauma would prevent the conversion of microbiome to a "pathobiome" phenotype.

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Introduction: Variable selection is a common technique to identify the most predictive variables from a pool of candidate predictors. Low prevalence predictors (LPPs) are frequently found in clinical data, yet few studies have explored their impact on model performance during variable selection. This study compared the Random Forest (RF) algorithm and stepwise regression (SWR) for variable selection using data from a paediatric sepsis screening tool, where 18 out of 32 predictors had a prevalence < 10%.

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Given the rapid cross-country spread of SARS-CoV-2 and the resulting difficulty in tracking lineage spread, we investigated the potential of combining mobile service data and fine-granular metadata (such as postal codes and genomic data) to advance integrated genomic surveillance of the pandemic in the federal state of Thuringia, Germany. We sequenced over 6500 SARS-CoV-2 Alpha genomes (B.1.

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