ReviewFrontiers in immunology2026
Integrated multi-omics, spatial profiling and organoid modeling drive transformative advances in chronic liver disease and hepatocellular carcinoma immunomicroenvironment research.
Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Multi-Omics-Guided Design and Safety Engineering of Nucleic Acid Therapeutics: From Molecular Perturbation to Predictive Toxicology and Precision Translation.Chemical biology & drug design · 2026Review
- Organoid technology in cancer research.Molecular biomedicine · 2026Review
- The airway epithelial-immune axis: mechanisms and therapeutic implications.Frontiers in immunology · 2026Review
- Elucidating the therapeutic mechanisms of quercetin in hepatic fibrosis: an integrated metabolomic and transcriptomic analysis.Frontiers in nutrition · 2026Article
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Authors and funding
8 authors.
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Abstract
Chronic liver disease (CLD) represents a major global public health challenge, necessitating a systematic understanding of its complex immunopathological mechanisms. This review comprehensively summarizes the groundbreaking applications of cutting-edge technologies-including single-cell sequencing, spatial transcriptomics, and organoid models-in chronic liver disease immunology research: Single-cell sequencing resolves immune cell heterogeneity at unprecedented resolution, identifies rare cell subsets, and reveals dynamic changes and regulatory networks through multi-omics integration; Spatial transcriptomics complements this by mapping immune-stromal interactions within structural contexts such as the portal tract, fibrotic septa, and tumor niches, uncovering spatially organized immune evasion mechanisms and microenvironmental remodeling; Organoid technology constructs humanized liver-immune models that recapitulate disease-specific features-such as fibrosis, steatohepatitis, and hepatocellular carcinoma-enabling mechanistic validation, drug screening, and individualized therapeutic exploration. The synergistic integration of multi-omics profiling, spatial mapping, and organoid modeling is driving a paradigm shift in chronic liver disease immunology-transitioning from static cellular descriptions to spatiotemporal mechanism decoding, and from population-level insights to individualized pathophysiology and treatment prediction. These advanced approaches establish a technological foundation for building precision immunotherapeutic strategies tailored to spatiotemporal regulation of the liver immune microenvironment.
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