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<p>Liver cirrhosis (LC) is a common chronic disease worldwide with a poor prognosis, and its pathogenesis has not been fully elucidated. Toll-like receptors (TLRs) are crucial in LC progression. Here, we identified TLR-related genes, providing novel insights related to LC diagnosis, pathogenesis, and treatment. Data from public databases were analyzed using “limma” and WGCNA to screen candidate genes, and four hub genes (CXCL9, CXCL10, SPP1, CTSK) were selected through machine learning. These hub genes were validated through bioinformatics, quantitative real-time PCR (qRT-PCR), and immunohistochemistry (IHC). Both the hub genes and risk models demonstrated strong diagnostic potential for LC. The hub genes were enriched in various pathways and strongly correlated with immune infiltration. Subtypes characterized by different TLR signaling activity exhibited distinct immune responses. scRNA-seq analysis revealed significant differences in hub gene expression and TLR signaling activity across different cell types. ceRNA network analysis revealed interactions involving miRNAs, lncRNAs, and hub genes. Molecular docking supported the potential value of the hub genes as drug targets. In conclusion, TLR-related hub genes exhibit excellent diagnostic and therapeutic value in LC, and their dysregulation contributes to immune disorders and activation of pathogenic signaling pathways. CTSK may stimulate the TLR4-MyD88-NF-κB axis to facilitate LC progression.</p>

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Identification of CTSK as a TLR-related critical biomarker in liver cirrhosis via integrative bioinformatics and pathological characterization

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月17日

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  • Jiaxin Wang,
  • Ning Li,
  • Xueyu Cang,
  • Xuerong Liu,
  • Ranyan Gao,
  • Lingyi Xu,
  • Fengchun Li,
  • Xinyu Jiang,
  • Hongliang Chen,
  • Xinyu Geng,
  • Jihan Qi,
  • Ram Prasad Chaulagain,
  • Junchong He,
  • Shizhu Jin

摘要

Liver cirrhosis (LC) is a common chronic disease worldwide with a poor prognosis, and its pathogenesis has not been fully elucidated. Toll-like receptors (TLRs) are crucial in LC progression. Here, we identified TLR-related genes, providing novel insights related to LC diagnosis, pathogenesis, and treatment. Data from public databases were analyzed using “limma” and WGCNA to screen candidate genes, and four hub genes (CXCL9, CXCL10, SPP1, CTSK) were selected through machine learning. These hub genes were validated through bioinformatics, quantitative real-time PCR (qRT-PCR), and immunohistochemistry (IHC). Both the hub genes and risk models demonstrated strong diagnostic potential for LC. The hub genes were enriched in various pathways and strongly correlated with immune infiltration. Subtypes characterized by different TLR signaling activity exhibited distinct immune responses. scRNA-seq analysis revealed significant differences in hub gene expression and TLR signaling activity across different cell types. ceRNA network analysis revealed interactions involving miRNAs, lncRNAs, and hub genes. Molecular docking supported the potential value of the hub genes as drug targets. In conclusion, TLR-related hub genes exhibit excellent diagnostic and therapeutic value in LC, and their dysregulation contributes to immune disorders and activation of pathogenic signaling pathways. CTSK may stimulate the TLR4-MyD88-NF-κB axis to facilitate LC progression.