1184-Decoding Regulatory Networks in Metabolic Liver Disease

This study investigates how noncoding genetic variations contribute to Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) by mapping the regulatory landscape of liver cells. Researchers utilized single-nucleus chromatin accessibility profiling to demonstrate that disease-linked variants are specifically enriched in the regulatory regions of hepatocytes and stellate cells. Through massively parallel reporter assays (MPRA), they identified hundreds of differential activity variants (DAVs) that alter gene expression based on specific cell types and environmental stressors. These functional variants perturb transcriptional networks and impact critical processes such as lipid metabolism and liver fibrosis. By integrating these findings with CRISPR screening and genomic looping data, the authors provide a framework for predicting disease risk and understanding the molecular pathogenesis of MASLD. Overall, the research highlights how cell-type-specific enhancers mediate the effects of genetic predisposition on chronic liver conditions.References:Zhu B, He N, Xiao Y, Chen B, Li C, Mandla R, Liu Y, Zhang J, Chang X, Yu F, Vujkovic M, Lynch JA, Chang KM; VA Million Veteran Program; Pasaniuc B, Rader DJ, Lazar MA, Hu W. Integrative analyses elucidate transcriptional regulatory functions of risk alleles for metabolic liver disease. Nat Genet. 2026 Jun 2. doi: 10.1038/s41588-026-02617-8. Epub ahead of print. PMID: 42230773.前往小宇宙评论区与主播互动