1. Academic Validation
  2. Identification of key genes in the pathogenesis of hepatic ischemia-reperfusion injury based on bioinformatics and experimental verification

Identification of key genes in the pathogenesis of hepatic ischemia-reperfusion injury based on bioinformatics and experimental verification

  • Sci Rep. 2026 Mar 22;16(1):14535. doi: 10.1038/s41598-026-45495-0.
Tao Zhang 1 2 Zhixian Jiang 1 Qingqing Zhao 3 Junyi Qiu 4 Qin Xiong 4 Shi Zuo 5
Affiliations

Affiliations

  • 1 School of Clinical Medicine, Guizhou Medical University, Guiyang, 550014, People's Republic of China.
  • 2 Department of Transplantation, Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, People's Republic of China.
  • 3 Clinical Research Center, Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, People's Republic of China.
  • 4 School of Pharmaceutical Science and Technology, Guizhou Medical University, Guiyang, 550014, People's Republic of China.
  • 5 Department of Hepatobiliary Surgery, Affiliated Hospital of Guizhou Medical University, Guiyang, 550001, People's Republic of China. [email protected].
Abstract

Hepatic ischemia-reperfusion injury (HIRI) is a frequently encountered complication during liver surgical procedures, characterized by ischemia-induced damage and exacerbated inflammatory injury upon reperfusion. The underlying mechanisms remain incompletely understood, and few targeted therapies are currently available. By employing a mouse HIRI model and whole-transcriptome Sequencing, we obtained gene expression profiles across different HIRI stages. 115 candidate genes were identified by differential and intersection analyses of the self-sequenced data, which were further prioritized using protein-protein interaction network analysis and machine learning algorithms. Ultimately, three key genes-Adh4, Akr1c14, and Cxcl1-were identified, which were mainly enriched in in pathways such as aerobic respiration, mitochondrial protein containing complex, ribonucleoprotein complex biogenesis. Immune infiltration analysis indicated significant changes in 13 immune cell types, including granulocytes and neutrophils. Construction of a molecular regulatory network highlighted potential regulators such as the long non-coding RNA Socs1, transcription factor NFKB1, and MicroRNA mmu-let-7b-5p. The key genes were verified at both transcriptional and translational levels with animal model samples. Notably, ladarixin, a non-competitive antagonist of CXCR1/2, exhibited a protective effect against HIRI, suggesting that Cxcl1 may serve as a promising therapeutic target. However, further comprehensive research is necessary to gain deeper insights into the exact mechanisms by which these genes function.

Keywords

Gene set enrichment analysis; Hepatic ischemia-reperfusion injury; Immune infiltration analysis; Machine learning; Therapeutic targets.

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