Practical Journal of Organ Transplantation(Electronic Version) ›› 2025, Vol. 13 ›› Issue (6): 535-540.DOI: 10.3969/j.issn.2095-5332.2025.06.009

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Identification of core genes related to inflammation during ischemia-reperfusion in liver transplantation

Qin Ming,Tang Yan,Lu Yifan,Zhou Jiangqiao,Li Jinke,Li Li.    

  1. Department of Organ Transplantation,Renmin Hospital of Wuhan University,Hubei Wuhan 430060,China
  • Online:2025-11-20 Published:2025-11-20

肝移植缺血 / 再灌注过程炎症相关核心基因的鉴定

秦铭,唐艳,陆一凡,周江桥,李金珂,李丽   

  1. 武汉大学人民医院器官移植科,湖北武汉 430060
  • 基金资助:
    国家自然科学基金(82170664) 

Abstract:

Objective To explore the molecular mechanisms and potential inflammation-related biomarkers of hepatic ischemia reperfusion injury(HIRI)process using bioinformatics techniques. Methods HIRI datasets GSE12720 and GSE14951 were obtained. Differential expressed genes(DEGs)were analyzed for functional enrichment and pathway enrichment. Hub genes were obtained using protein interactions analysis,and the correlationbetween Hub genes and inflammatory genes was calculated to finalize the key genes. The biological processes involved in these key genes were explored using GSEA analysis,and the expression of key genes was verified by mouse HIRI model. Finally,miRNAs of the key genes were predicted. Results Signaling pathways such as TNF,IL-17,MAPK and NF-κB were involved in inflammatory and immune processes during HIRI,and five key genes were closely related to inflammatory responses and their expressions are upregulated after HIRI. Conclusion This studyconfirms the central role of the inflammatory response in the process of HIRI and provides new perspectives for the discovery of the pathogenesis and potential therapeutic targets of HIRI. 

Key words:

Liver transplantation , Ischemia-reperfusion injury , Differential genes , Targetprediction, Inflammatory response, Core gene, Bioinformatics analysis

摘要:

目的 运用生物信息学技术探索肝脏缺血 / 再灌注损伤(hepatic ischemia reperfusion injury,HIRI)过程的分子机制和潜在炎症相关生物标志物。 方法 获取 HIRI 数据集 GSE12720 和 GSE14951。对差异基因(differentially expressed genes,DEGs)进行功能富集分析和通路富集分析。使用蛋白互作分析获得 Hub 基因,并计算 Hub 基因与炎症基因的相关性,最终确定关键基因。使用 GSEA 分析探索这些关键基因所参与的生物学过程,通过小鼠 HIRI 模型验证关键基因的表达。最后,预测了关键基因的miRNAs。 结果 TNF、IL-17、MAPK 和 NF-κB 等信号通路参与了 HIRI 过程中的炎症和免疫过程,5 个关键基因与炎症反应密切相关,并且在 HIRI 后表达上调。 结论 本研究证实了炎症反应在 HIRI 过程中的核心作用,并为发现 HIRI 的发病机制和潜在治疗靶点提供了新视角。

关键词:

肝移植 , 缺血 / 再灌注损伤 , 差异基因 , 靶点预测 , 炎症反应 , 核心基因 , 生物信息学分析