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<p>Autoimmune Hepatitis (AIH) and Multiple Sclerosis (MS) are chronic inflammatory diseases with abnormal immune responses. This study aims to identify common biomarkers for AIH and MS using bioinformatics analysis. Gene expression data of AIH (GSE159676) and MS (GSE131279 and GSE131281) were obtained from the GEO database. Differentially Expressed Genes (DEGs) were identified using the limma package in R. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Protein-Protein Interaction (PPI) network, and machine learning algorithm Least Absolute Shrinkage and Selection Operator (LASSO) regression were used to evaluate potential biomarkers. The common biomarker gene Zinc Finger Protein Y-linked (ZFY) was identified. KEGG analysis showed significant enrichment of the Phosphatidylinositol 3-Kinase/Protein Kinase B (PI3K/Akt) pathway in both diseases. LASSO regression identified ZFY as a potential diagnostic marker, with decreased expression in both AIH and MS groups. Single-gene immune infiltration analysis indicated a significant association between ZFY expression and immune cell infiltration levels. Experimental validation in ConA-induced hepatitis and CPZ-mediated demyelination model mice further verified the diagnostic potential of ZFY. This study reveals the potential of ZFY as a biomarker for AIH and MS, highlighting its role in the PI3K/Akt pathway and immune infiltration. These findings provide new insights into the common pathological mechanisms of AIH and MS and suggest potential targets for future therapeutic strategies.</p>

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Zinc finger protein Y - linked as a potential biomarker for autoimmune hepatitis and multiple sclerosis which overlap with immune infiltration

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年3月27日

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  • Jian Liu,
  • Di Guo,
  • Meng Pu,
  • Xin Li,
  • Ying Xiao,
  • Zi-wei Zhang,
  • Yi-bin Tang,
  • Yang Liu,
  • Cun-gen Ma,
  • Qing Wang

摘要

Autoimmune Hepatitis (AIH) and Multiple Sclerosis (MS) are chronic inflammatory diseases with abnormal immune responses. This study aims to identify common biomarkers for AIH and MS using bioinformatics analysis. Gene expression data of AIH (GSE159676) and MS (GSE131279 and GSE131281) were obtained from the GEO database. Differentially Expressed Genes (DEGs) were identified using the limma package in R. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, Protein-Protein Interaction (PPI) network, and machine learning algorithm Least Absolute Shrinkage and Selection Operator (LASSO) regression were used to evaluate potential biomarkers. The common biomarker gene Zinc Finger Protein Y-linked (ZFY) was identified. KEGG analysis showed significant enrichment of the Phosphatidylinositol 3-Kinase/Protein Kinase B (PI3K/Akt) pathway in both diseases. LASSO regression identified ZFY as a potential diagnostic marker, with decreased expression in both AIH and MS groups. Single-gene immune infiltration analysis indicated a significant association between ZFY expression and immune cell infiltration levels. Experimental validation in ConA-induced hepatitis and CPZ-mediated demyelination model mice further verified the diagnostic potential of ZFY. This study reveals the potential of ZFY as a biomarker for AIH and MS, highlighting its role in the PI3K/Akt pathway and immune infiltration. These findings provide new insights into the common pathological mechanisms of AIH and MS and suggest potential targets for future therapeutic strategies.