Exogenous ketone therapy does not protect brain tissue after moderate-sized intracerebral hemorrhage despite signs of early neurological benefit.

Ketone bodies, or ketones, are an alternative energy source and have several nonmetabolic signaling actions, such as inhibiting inflammation. Because of this, exogenous ketone supplementation has been used to help treat various diseases. β-hydroxybutyrate (βHB) is the major ketone body that has reduced neurological injury and brain edema in animal models of ischemic stroke and traumatic brain injury.

Maternal ketone supplementation throughout gestation improves neonatal cardiac dysfunction caused by perinatal iron deficiency.

Iron deficiency (ID) is common during gestation and in early infancy and has been shown to adversely affect cardiac development and function, which could lead to lasting cardiovascular consequences. Ketone supplementation has been shown to confer cardioprotective effects in numerous disease models. Here, we tested the hypothesis that maternal ketone supplementation during gestation would mitigate cardiac dysfunction in ID neonates.

Identification of aryl hydrocarbon receptor allosteric antagonists from clinically approved drugs.

The human aryl hydrocarbon receptor (AhR), a ligand-dependent transcription factor, plays a pivotal role in a diverse array of pathways in biological and pathophysiological events. This position AhR as a promising target for both carcinogenesis and antitumor strategies. In this study we utilized computational modeling to screen and identify FDA-approved drugs binding to the allosteric site between α2 of bHLH and PAS-A domains of AhR, with the aim of inhibiting its canonical pathway activity.

Optimal Significance Levels and Sample Sizes for Signal Detection Methods Based on Non-constant Hazards.

Background And Objectives: Statistical methods for signal detection of adverse drug reactions (ADRs) in electronic health records (EHRs) need information about optimal significance levels and sample sizes to achieve sufficient power. Sauzet and Cornelius proposed tests for signal detection based on the hazard functions of Weibull type distributions (WSP tests) which use the time-to-event information available in EHRs. Optimal significance levels and sample sizes for the application of the WPS tests are derived.