Similar weight loss with semaglutide regardless of diabetes and cardiometabolic risk parameters in individuals with metabolic dysfunction-associated steatotic liver disease: Post hoc analysis of three randomised controlled trials.

Abstract

Aims: Weight loss mediated by glucagon-like peptide-1 (GLP-1) analogues is lower in patients with type 2 diabetes versus those without. Type 2 diabetes and obesity are risk factors for metabolic dysfunction-associated steatotic liver disease (MASLD) and associated steatohepatitis (MASH). We evaluated weight changes in adults with MASLD/MASH with or without type 2 diabetes receiving the GLP-1 analogue semaglutide.

Materials and methods: This was a post hoc analysis of data from three 48-72-week randomised trials investigating the effect of semaglutide versus placebo in adults with MASLD (NCT03357380) or biopsy-confirmed MASH (NCT02970942 and NCT03987451). Pooled data for semaglutide (0.4 mg once daily and 2.4 mg once weekly [n = 163]) and placebo (n = 137) were analysed at 1 year. Weight changes were analysed by type 2 diabetes status (type 2 diabetes [n = 209], pre-type 2 diabetes [n = 51] and no diabetes [n = 40]) and by other cardiometabolic risk parameters using analysis of covariance and Spearman's rank correlations.

Results: The overall mean weight change was -11.1 kg (-11.7%) and -0.7 kg (-0.6%) with semaglutide and placebo, respectively. While numerically higher for people without type 2 diabetes, estimated treatment differences with semaglutide versus placebo were similar overall for people with type 2 diabetes (-10.2 kg; -10.8%), pre-type 2 diabetes (-9.8 kg; -10.2%) and no diabetes (-11.6 kg; -13.1%). Differences between groups were not statistically significant (p > 0.50 for all). Baseline fasting plasma glucose, glycated haemoglobin, insulin levels, insulin resistance and lipids did not correlate with weight change.

Conclusions: People with MASLD/MASH had similar semaglutide-mediated weight loss regardless of type 2 diabetes status and other cardiometabolic risk parameters.