Abstract
Rodent ischemia-reperfusion injury (IRI) and liver transplantation (LT) models play crucial roles in mimicking graft injury and immune rejection, developing therapeutic approaches, and evaluating the efficacy of treatments. The application of integrated multi-omics data and advanced omics techniques like single-cell RNA sequencing in rodent models has expanded researchers' perspectives on pathophysiological processes in LT settings. This review summarizes key molecules and pathways associated with reperfusion injury and prognosis in LT models, highlighting the potential of omics data in understanding and improving transplant outcomes. In addition, we highlight the current challenges and future approaches for the application of omics data in rodent LT models. Cross-species validation with human data will improve therapeutic potential. Finally, further applications combining advanced single-cell, spatial omics technologies and machine learning algorithms will help to identify the key regulatory networks in specific cell populations underlying poor outcomes after LT.