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PMID: 41668742 已发表 · epublish 英语

Integrated multi-omics, spatial profiling and organoid modeling drive transformative advances in chronic liver disease and hepatocellular carcinoma immunomicroenvironment research.

Liu Q, Wang C, Ye C, Zhang H, Li T, Wei W, Wang S, Zhang H

摘要

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.

关键词
CLD(Chronic liver disease) hepatocellular carcinoma immune microenvironment liver organoids single-cell sequencing spatial transcriptomics
文献信息
期刊
Frontiers in immunology
期刊简称
Front Immunol
ISSN
1664-3224
语言
英语
国家/地区
Switzerland
NLM ID
101560960
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