Exploring the Molecular Mechanisms of Autophagy-related Genes in Hepatic Ischemia/Reperfusion Injury Using Bioinformatics.

IF 1.9 Q3 TRANSPLANTATION

Transplantation Direct Pub Date : 2025-06-27 eCollection Date: 2025-07-01 DOI:10.1097/TXD.0000000000001829

Qi Xiao, Xiaoxiao Hu, Qiong Chen, WenYu Wang, JianSheng Xiao, Biqi Fu

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Abstract

Background: Autophagy is a highly conserved cellular process. In the context of hepatic ischemia/reperfusion injury (HIRI), dysregulation of autophagy may lead to hepatocyte dysfunction. Therefore, we conducted a comprehensive transcriptomics analysis to investigate the biomolecular mechanisms underlying autophagy in HIRI.

Methods: Bioinformatics were used to analyze the GSE112713 data set, with the objective of identifying the differential expression of autophagy-related genes (DEARGs). The expression and diagnostic potential of DEARGs were validated using in vitro models and receiver operating characteristic curves. Additionally, potential therapeutic drugs targeting DEARGs were predicted.

Results: Transcriptome bioinformatics analysis revealed widespread dysregulation of autophagy in HIRI. Seven DEARGs (IL6, JUN, HSPA1A, PPP1R15A, ERN1, DNAJB1, and HSPA1B) were confirmed in vitro. Based on these findings, we predicted potential drugs that may mitigate HIRI by modulating autophagy.

Conclusions: The present study identified 7 DEARGs (IL6, JUN, HSPA1A, PPP1R15A, ERN1, DNAJB1, and HSPA1B) in HIRI, which provides a reliable therapeutic target for HIRI.

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应用生物信息学探讨肝缺血再灌注损伤中自噬相关基因的分子机制。

背景：自噬是一个高度保守的细胞过程。在肝缺血再灌注损伤（HIRI）的情况下，自噬的失调可能导致肝细胞功能障碍。因此，我们进行了全面的转录组学分析，以研究HIRI中自噬的生物分子机制。方法：采用生物信息学方法对GSE112713数据集进行分析，目的是鉴定自噬相关基因（autophagy-related genes, DEARGs）的差异表达。通过体外模型和受体工作特征曲线验证了DEARGs的表达和诊断潜力。此外，还预测了针对DEARGs的潜在治疗药物。结果：转录组生物信息学分析显示HIRI中广泛存在自噬失调。7个DEARGs （IL6、JUN、HSPA1A、PPP1R15A、ERN1、DNAJB1和HSPA1B）在体外得到证实。基于这些发现，我们预测了可能通过调节自噬来减轻HIRI的潜在药物。结论：本研究在HIRI中鉴定出7个DEARGs (IL6、JUN、HSPA1A、PPP1R15A、ERN1、DNAJB1、HSPA1B)，为HIRI的治疗提供了可靠的靶点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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