ArticleFrontiers in immunology2023
Gene signature and prediction model of the mitophagy-associated immune microenvironment in renal ischemia-reperfusion injury.
Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Current perspectives and trends on the role of mitochondria in renal ischemia-reperfusion injury from 2005 to 2024: a bibliometric analysis and literature review.Frontiers in physiology · 2025Pooled it
- Single-cell transcriptomics and machine-learning reveal M1 macrophage-driven progression from minimal change disease to focal segmental glomerulosclerosis.Renal failure · 2026Article
- Identification of characteristic genes of pressure ulcers based on angiogenesis-related genes and construction of miRNA, transcription factor, and molecular drug regulatory networks.BMC immunology · 2026Article
- Mitophagy in kidney transplantation ischemia-reperfusion injury.International urology and nephrology · 2026Review
- HIF1A transcriptionally activates CDKN1A to drive ferroptosis in skeletal muscle ischaemia-reperfusion injury.Journal of orthopaedic translation · 2026Article
- Renal-targeted exosomes inhibiting miR-182-5p for treatment of renal ischemia-reperfusion injury.Bioengineering & translational medicine · 2026Article
- PARP inhibitor BMN673 triggers PARylation-mediated ATF4-GDF15 pathway to drive autophagy and ferroptosis in ataxia telangiectasia mutated gene-deficient colorectal cancer cells.Molecular biomedicine · 2025Article
- Research on the interactive mechanisms between mitochondrial variations and immune responses in gliomas based on integrated visualization analysis.Discover oncology · 2025Review
- Mitophagy related gene signature for prognosis and therapeutic evaluation in KIRC.Scientific reports · 2025Article
- Verbascoside attenuates myocardial ischemia/reperfusion-induced ferroptosis following heterotopic heart transplantation via modulating GDF15/GPX4/SLC7A11 pathway.Scientific reports · 2025Article
- Identification of Renal Ischemia-Reperfusion Injury Subtypes and Predictive Model for Graft Loss after Kidney Transplantation Based on Programmed Cell Death-Related Genes.Kidney diseases (Basel, Switzerland) · 2024Article
- Exploring Cuproptosis-Related Genes and Diagnostic Models in Renal Ischemia-Reperfusion Injury Using Bioinformatics, Machine Learning, and Experimental Validation.Journal of inflammation research · 2024Article
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16 authors.
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Abstract
Background: Renal ischemia-reperfusion injury (IRI) is an inevitable occurrence during kidney transplantation. Mitophagy, ferroptosis, and the associated immune microenvironment (IME) have been shown to play important roles in renal IRI. However, the role of mitophagy-associated IME genes in IRI remains unclear. In this study, we aimed to construct a prediction model of IRI prognosis based on mitophagy-associated IME genes. Method: The specific biological characteristics of the mitophagy-associated IME gene signature were comprehensively analyzed using public databases such as GEO, Pathway Unification, and FerrDb. Correlations between the expression of prognostic genes and immune-related genes and IRI prognosis were determined by Cox regression, LASSO analysis, and Pearson's correlation. Molecular validation was performed using human kidney 2 (HK2) cells and culture supernatant as well as the serum and kidney tissues of mice after renal IRI. Gene expression was measured by PCR, and inflammatory cell infiltration was examined by ELISA and mass cytometry. Renal tissue damage was characterized using renal tissue homogenate and tissue sections. Results: The expression of the mitophagy-associated IME gene signature was significantly correlated with IRI prognosis. Excessive mitophagy and extensive immune infiltration were the primary factors affecting IRI. In particular, FUNDC1, SQSTM1, UBB, UBC, KLF2, CDKN1A, and GDF15 were the key influencing factors. In addition, B cells, neutrophils, T cells, and M1 macrophages were the key immune cells present in the IME after IRI. A prediction model for IRI prognosis was constructed based on the key factors associated with the mitophagy IME. Validation experiments in cells and mice indicated that the prediction model was reliable and applicable. Conclusion: We clarified the relationship between the mitophagy-related IME and IRI. The IRI prognostic prediction model based on the mitophagy-associated IME gene signature provides novel insights on the prognosis and treatment of renal IRI.
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