MASH: Promising Aspects from the Bench

Description

Abstract Parallel sessions feature oral presentations from the authors of highly-rated abstracts submitted for presentation at The Liver Meeting.

Journey Maps

Presentations

11:00 AM - 11:15 AM
Aug 05 2026
Convention Center - Ballroom A, Level 3

Hepatocyte-macrophage crosstalk rewires liver zonation features in metabolic dysfunction-associated steatotic liver disease (MASLD)  

Ekihiro Seki, MD, PhD, FAASLD , Abstract Presenter
MASLD
11:15 AM - 11:30 AM
Aug 05 2026
Convention Center - Ballroom A, Level 3

Sexually Dimorphic Palmitoylation of UTY of Liver Sinusoidal Endothelial Cells Drives Advanced Metabolic Dysfunction-Associated Steatohepatitis (MASH) via PGF2α/SPIN1 Axis

Gyongyi Szabo, MD, PhD, FAASLD , Abstract Presenter
MASLD
11:30 AM - 11:45 AM
Aug 05 2026
Convention Center - Ballroom A, Level 3

Neutrophil Extracellular Traps Drive B Cell–Mediated Fibrogenesis in MASH by Silencing HES1 and Promoting Plasma Cell Differentiation

Ekihiro Seki, MD, PhD, FAASLD , Abstract Presenter
MASLD
11:45 AM - 12:00 PM
Aug 05 2026
Convention Center - Ballroom A, Level 3

Generation of multilineage, highly vascularized liver organoids enable disease modelling and exhibit transplantation potential

Gyongyi Szabo, MD, PhD, FAASLD , Abstract Presenter
MASLD
12:00 PM - 12:15 PM
Aug 05 2026
Convention Center - Ballroom A, Level 3

Deletion of LYPLAL1 Reduces Cellular Uptake of Fatty Acids and Promotes Mitochondrial β-oxidation to Protect Against Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)

Ekihiro Seki, MD, PhD, FAASLD , Abstract Presenter
MASLD
12:15 PM - 12:30 PM
Aug 05 2026
Convention Center - Ballroom A, Level 3

Loss of Dnmt1 in hepatocytes promotes inflammation and fibrosis during MASLD/MASH development in mice

Gyongyi Szabo, MD, PhD, FAASLD , Abstract Presenter
MASLD

Objectives

  • Highlight emerging mechanistic insights and molecular pathways implicated in MASH pathogenesis that may inform novel therapeutic targets.
  • Present preclinical data and innovative experimental models contributing to the understanding and future management of MASH.