biostudies-literatureChen ZNational High Level Hospital Clinical Research Funding15437https://www.ebi.ac.uk/biostudies/studies/S-EPMC12048552biostudies-literatureUnknown15(1)Hepatic ischemia-reperfusion injury (HIRI) is a major complication following liver transplantation. Bioinformatic analysis was performed to elucidate the PANoptosis-related molecular mechanisms underlying HIRI. Comprehensive analysis of bulk and single-cell RNA sequencing data from human liver tissue before and after HIRI was performed. Differential expression analysis, weighted gene coexpression analysis, and protein interaction network analysis were used to identify candidate biomarkers. Multiple machine learning methods were utilized to screen for core biomarkers and construct a diagnostic predictive model. Functional and interaction analyses of the genes were also performed. Cellular clustering and annotation, pseudotemporal trajectory, and intercellular communication analyses of HIRI Scientific reportsIdentification of PANoptosis related biomarkers to predict hepatic ischemia‒reperfusion injury after liver transplantation.PMC120485522022-PUMCH-A-2372022-PUMCH-C-049Liu YZhang TSang XChen ZZhang JLu XZhang LXu YfalseIdentification of PANoptosis related biomarkers to predict hepatic ischemia‒reperfusion injury after liver transplantation.Hepatic ischemia-reperfusion injury (HIRI) is a major complication following liver transplantation. Bioinformatic analysis was performed to elucidate the PANoptosis-related molecular mechanisms underlying HIRI. Comprehensive analysis of bulk and single-cell RNA sequencing data from human liver tissue before and after HIRI was performed. Differential expression analysis, weighted gene coexpression analysis, and protein interaction network analysis were used to identify candidate biomarkers. Multiple machine learning methods were utilized to screen for core biomarkers and construct a diagnostic predictive model. Functional and interaction analyses of the genes were also performed. Cellular clustering and annotation, pseudotemporal trajectory, and intercellular communication analyses of HIRI 2025-01-01T00:00:00Z2025 May2026-06-02T20:42:49.31Z2025-07-06T03:05:55.356ZS-EPMC120485524031671710.1038/s41598-025-99264-6