Integrative proteo-transcriptomic characterization of advanced fibrosis in chronic liver disease across etiologies

While technological advancements have improved our understanding of fibrogenesis, identifying advanced fibrosis in the general population remains challenging due to clinical heterogeneity influenced by underlying causes, comorbidities, and lifestyle factors. A systems-level characterization of metabolic and signaling dysregulation could effectively capture the signatures driving liver fibrosis across different etiologies. In this study, we utilized a data-driven multi-omics approach, encompassing liver transcriptomics and plasma proteomics, to thoroughly characterize patients across the pathological spectrum, from early-stage fibrosis to cirrhosis and associated HCC. 178 snap-frozen explant liver samples and/or biopsies were processed for RNA sequencing on the Illumina NovaSeq6000 system.