利用生物信息学探索自噬相关基因在肝脏缺血/再灌注损伤中的分子机制
Exploring the Molecular Mechanisms of Autophagy-related Genes in Hepatic Ischemia/Reperfusion Injury Using Bioinformatics.
作者信息
Xiao Qi, Hu Xiaoxiao, Chen Qiong, Wang WenYu, Xiao JianSheng, Fu Biqi
机构信息
Department of Transplantation, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nan Chang, Jiangxi, China.
Department of Immunology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nan Chang, Jiangxi, China.
出版信息
Transplant Direct. 2025 Jun 27;11(7):e1829. doi: 10.1097/TXD.0000000000001829. eCollection 2025 Jul.
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 (, , , , , , and ) 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 (, , , , , , and ) in HIRI, which provides a reliable therapeutic target for HIRI.
背景
自噬是一种高度保守的细胞过程。在肝缺血/再灌注损伤（HIRI）的背景下，自噬失调可能导致肝细胞功能障碍。因此，我们进行了一项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
利用生物信息学分析GSE112713数据集，目的是鉴定自噬相关基因（DEARGs）的差异表达。使用体外模型和受试者工作特征曲线验证DEARGs的表达和诊断潜力。此外，预测了靶向DEARGs的潜在治疗药物。
结果
转录组生物信息学分析显示HIRI中自噬广泛失调。在体外确认了7个DEARGs（，，，，，，和）。基于这些发现，我们预测了可能通过调节自噬减轻HIRI的潜在药物。
结论
本研究在HIRI中鉴定出7个DEARGs（，，，，，，和），为HIRI提供了可靠的治疗靶点。
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