Safety and efficacy of combination therapy with semaglutide, cilofexor and firsocostat in patients with non-alcoholic steatohepatitis: A randomised, open-label phase II trial.

Background & Aims: Non-alcoholic steatohepatitis (NASH) is associated with increased risk of liver-related and cardiovascular morbidity and mortality. Given the complex pathophysiology of NASH, combining therapies with complementary mechanisms may be beneficial. This trial evaluated the safety and efficacy of semaglutide, a glucagon-like peptide-1 receptor agonist, alone and in combination with the farnesoid X receptor agonist cilofexor and/or the acetyl-coenzyme A carboxylase inhibitor firsocostat in patients with NASH.

GREATER COMBINED REDUCTIONS IN HbA ≥1.0% AND WEIGHT ≥5.0% WITH SEMAGLUTIDE VERSUS COMPARATORS IN TYPE 2 DIABETES.

Semaglutide is a glucagon-like peptide 1 (GLP-1) analog for the once-weekly treatment of type 2 diabetes (T2D). In the global SUSTAIN clinical trial program, semaglutide demonstrated superior glycated hemoglobin (HbA) and body weight reductions versus comparators. This post hoc analysis compared the proportion of patients achieving combined reductions in glycemia and body weight versus comparators.

Analysis of rabbit doe longevity using a semiparametric log-Normal animal frailty model with time-dependent covariates.

Data on doe longevity in a rabbit population were analysed using a semiparametric log-Normal animal frailty model. Longevity was defined as the time from the first positive pregnancy test to death or culling due to pathological problems. Does culled for other reasons had right censored records of longevity.

A bivariate quantitative genetic model for a linear Gaussian trait and a survival trait.

With the increasing use of survival models in animal breeding to address the genetic aspects of mainly longevity of livestock but also disease traits, the need for methods to infer genetic correlations and to do multivariate evaluations of survival traits and other types of traits has become increasingly important. In this study we derived and implemented a bivariate quantitative genetic model for a linear Gaussian and a survival trait that are genetically and environmentally correlated. For the survival trait, we considered the Weibull log-normal animal frailty model.