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. 2022 Dec 1;13:1047367. doi: 10.3389/fimmu.2022.1047367

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Copyright © 2022 Wu, Zhang, Zheng, Zhang, Cao, Sun and Wang

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Function enrichment analysis and immune infiltration analysis based on the DGF predictive model. (A–D): GSEA showing the different pathways between the two IRI groups. (E): Pod-plot showing the infiltration of 23 types of immune cells between the two groups. (F–J): Comparison of the infiltration of neutrophils between groups using other five algorithms. (K): the correlation between 23 immune-related cells, the correlation between 16 DE-NRGs and the relationships between immune-related cells, DE-NRGs and IRI subgroups classified by two strategies. DGF, delayed graft function; GSEA, gene set enrichment analysis; IRI, ischemia reperfusion injury; DE-NRGs, differentially expressed NET-related genes. *P < 0.05, **P < 0.01, ***P < 0.001; ns, no significance.