ReviewExperimental and therapeutic medicine2022
Perforin: An intriguing protein in allograft rejection immunology (Review).
Review in Experimental and therapeutic medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- Multiple omics-based machine learning reveals peripheral blood immune cell landscape during acute rejection of kidney transplantation and constructs a precise non-invasive diagnostic strategy.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Cytotoxic T Cells: Kill, Memorize, and Mask to Maintain Immune Homeostasis.International journal of molecular sciences · 2025Review
- Immune profiling of kidney transplant recipients: the role of Tribbles-1, Perforin, and Granzyme B in chronic humoral rejection.Molecular biology reports · 2025Article
- Non-Invasive Biomarkers for Early Diagnosis of Kidney Allograft Dysfunction: Current and Future Applications in the Era of Precision Medicine.Medicina (Kaunas, Lithuania) · 2025Review
- Involvement of M1-Activated Macrophages and Perforin/Granulysin Expressing Lymphocytes in IgA Vasculitis Nephritis.International journal of molecular sciences · 2024Article
- Revisiting the Role of NAG across the Continuum of Kidney Disease.Bioengineering (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic kidney disease (CKD) is a worldwide public health problem. The constantly increasing prevalence of CKD requires further research into new additional strategies in its management. The preferred treatment of end-stage renal disease (ESRD) is renal transplantation. Kidney transplant patients benefit from substantial improvement in their quality and duration of life. For these to be feasible, the long-term graft and host survival optimization of the renal transplant recipient must be ensured and chronic allograft dysfunction (CAN) must be prevented. Once an equilibrium in the allograft tolerance is established, renal transplanted patients would benefit from the withdrawal or the reduction of immunosuppression therapy. Identification of early predictive biomarkers of CAN is essential. Recent publications have revealed that in long-term immune tolerance and graft survival several populations of immune cells are involved. Starting from the identification of perforin (PRF) in pathological renal glomeruli and following with the analysis of the molecular expression of PRF in renal biopsy samples, it appears that serum PRF is one of the potential biomarkers of graft dysfunction. Over the years, this protein has captured the attention of the medical world, conducting research that could potentially lead to the discovery of an innovative biomarker. Discovering and understanding the involvement of PRF in developing CAN may open up new therapeutic pathways that would ensure the survival of the kidney transplant. In this review the authors examined the structure, the role and the present understanding of the mechanisms by which serum PRF may be involved in chronic graft dysfunction as well as its role as an immune tolerance biomarker for chronic dysfunction of the renal graft.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.