Evidence map›Paper›PMID 40589609›Full record

ArticleJournal of inflammation research2025

Exploration and Validation of Key Genes and Immune Infiltration in Alcoholic Hepatitis.

Yingna Mei, Yitao Zheng, Xingfen Zhang, Ting Hu, Xiaoqing Zheng, Cui Zhang, Qinzhi Deng

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Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yingna MeiDepartment of Liver Disease, Ningbo No.2 Hospital, Ningbo, People's Republic of China.
Yitao ZhengDepartment of Pancreatic and Gastrointestinal Surgery Division, Ningbo No. 2 Hospital, Ningbo, People's Republic of China.
Xingfen ZhangDepartment of Liver Disease, Ningbo No.2 Hospital, Ningbo, People's Republic of China.
Ting HuDepartment of Liver Disease, Ningbo No.2 Hospital, Ningbo, People's Republic of China.
Xiaoqing ZhengDepartment of Liver Disease, Ningbo No.2 Hospital, Ningbo, People's Republic of China.
Cui ZhangDepartment of Cardiology, Renmin Hospital of Wuhan University Cardiovascular Research Institute, Wuhan University; Hubei Key Laboratory of Cardiology, Wuhan, 430060, People's Republic of China.
Qinzhi DengDepartment of Liver Disease, Ningbo No.2 Hospital, Ningbo, People's Republic of China.ORCID 0000-0003-3162-4847

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Apart from alcohol abstinence and glucocorticoids, there is still no effective treatment to improve alcoholic hepatitis, and the specific mechanism of its pathogenesis is still unclear. Methods: We screened the differential genes in GEO alcoholic hepatitis database by differential analysis and screened the eQTL genes that have causal relationship with alcoholic hepatitis by Mendelian randomization analysis. The intersection of differential genes and eQTL genes was used to obtain candidate genes. The candidate genes were then screened out by machine learning, and their expression was further verified in clinical patients and mice with alcoholic hepatitis. Based on key genes, pathway analysis via single-gene GSEA analysis and immune microenvironment analysis via ssGSEA analysis were conducted to explore the relationship between key genes and immune microenvironment. Finally, regulatory relationship between key genes and immune cells was explored based on cell experiments. Results: Based on the GEO Alcoholic hepatitis database (GSE28619 and GSE142530) and Mendelian randomization of eQTL genes, we obtained 17 candidate genes. We then obtained two key genes (CXCL8 and CTNNA1) through lasso and random forest tree algorithms. CXCL8 and CTNNA1 were highly expressed in the alcoholic hepatitis group, which were verified in clinical patients and mice. Through single-gene GSEA analysis, two key genes were identified to be enriched in the antigen presentation pathway. At the same time, the alcoholic hepatitis group had obvious immune infiltration disorder, and two key genes were correlated with immune environment via correlation analysis. B cells and NKT cells exhibited the highest correlation with key genes. In alcoholic hepatitis mice, liver infiltration of B cells and NKT cells was verified. Through cell experiments, ethanol exposure increased CTNNA1 and CXCL8 expression in NKT and B cells, enhancing inflammatory cytokine release and suppressing IgG production, respectively. Silencing CXCL8 and CTNNA1 reversed these effects. Conclusion: These results suggested that CXCL8 and CTNNA1 were potential biomarkers for alcoholic hepatitis, and might be new targets for the treatment of alcoholic hepatitis.

Indexed as

alcoholic hepatitisCTNNA1CXCL8immune environmentmachine learningMendelian randomization analysis

Identifiers

PMID40589609
PMCPMC12206905

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