细胞
核糖核酸
免疫系统
肝纤维化
计算生物学
生物
免疫学
医学
遗传学
纤维化
基因
病理
作者
Bo Yang,Junjie Yuan,Jingwen Zhao,Xin Chen
出处
期刊:Cancer Biomarkers
[IOS Press]
日期:2025-09-01
卷期号:42 (9): 18758592251374861-18758592251374861
标识
DOI:10.1177/18758592251374861
摘要
Background Immune-inflammatory responses and dysregulation play a key role in liver fibrosis (LF) and cirrhosis progression, but the phenotypic and functional dynamics of immune cell populations remain poorly characterized. Methods LF-related data from the GEO database were analyzed using ssGSEA to quantify immune cell infiltration and Kaplan-Meier analysis to assess the prognostic value of specific immune cell populations. Single-cell RNA sequencing data were used to establish an immune cell atlas, identify cell types linked to poor prognosis, and validate characteristic genes. Additionally, the functional distinctions and cell-cell interactions were further investigated. Results LF patients showed increased infiltration of monocytes, T cells, and NK cells, associated with poor outcomes. Genes linked to poor prognosis were markedly expressed in mononuclear phagocytes, T cells, and innate lymphoid cells (ILCs), which were further classified into 24 distinct subpopulations. Pro-fibrotic scar-associated macrophages and pro-inflammatory ILCs increased, while anti-inflammatory Kupffer cells and protective ILCs decreased. CCR7-expressing T cells and depletion-related genes were elevated in peripheral blood mononuclear cells, with ILCs showing increased expression of S1PR4 and S1PR5. Furthermore, macrophages expressing CD9 and IGFBP7 were identified. Conclusion This study highlights immune heterogeneity in LF, identifying key cell populations linked to disease progression, offering potential immunotherapy targets.
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