ArticleTransplantation direct2021
Donor-derived Cell-free DNA: Advancing a Novel Assay to New Heights in Renal Transplantation.
Article in Transplantation direct, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Donor-derived cell-free DNA-based liquid biopsies to determine future kidney transplant rejection.Kidney research and clinical practice · 2025Article
- Evaluating the Diagnostic Utility of dd-cfDNA in Renal Allograft Surveillance: A Single-Center Perspective.Genes · 2025Article
- Whole-Exome Sequencing Followed by dPCR-Based Personalized Genetic Approach in Solid Organ Transplantation: A Study Protocol and Preliminary Results.Methods and protocols · 2025Article
- Clinical utility of plasma percent donor-derived cell-free DNA for lung allograft surveillance: A real-world single-center experience.JHLT open · 2024Article
- Current and emerging tools for simultaneous assessment of infection and rejection risk in transplantation.Frontiers in immunology · 2024Review
- Analysis of the primary factors influencing donor derived cell-free DNA testing in kidney transplantation.Frontiers in immunology · 2024Review
- Levels of donor-derived cell-free DNA and chemokines in BK polyomavirus-associated nephropathy.Clinical transplantation · 2022Article
- Extracellular vesicle-bound DNA in urine is indicative of kidney allograft injury.Journal of extracellular vesicles · 2022Article
- Urinary CD8+HLA-DR+ T Cell Abundance Non-invasively Predicts Kidney Transplant Rejection.Frontiers in medicine · 2022Article
- Emerging role of cell-free DNA in kidney transplantation.World journal of experimental medicine · 2021Review
- Diagnostic value of donor-derived cell-free DNA to predict antibody-mediated rejection in donor-specific antibody-positive renal allograft recipients.Transplant international : official journal of the European Society for Organ Transplantation · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Despite advances in transplant immunosuppression, long-term renal allograft outcomes remain suboptimal because of the occurrence of rejection, recurrent disease, and interstitial fibrosis with tubular atrophy. This is largely due to limitations in our understanding of allogeneic processes coupled with inadequate surveillance strategies. The concept of donor-derived cell-free DNA as a signal of allograft stress has therefore rapidly been adopted as a noninvasive monitoring tool. Refining it for effective clinical use, however, remains an ongoing effort. Furthermore, its potential to unravel new insights in alloimmunity through novel molecular techniques is yet to be realized. This review herein summarizes current knowledge and active endeavors to optimize cell-free DNA-based diagnostic techniques for clinical use in kidney transplantation. In addition, the integration of DNA methylation and microRNA may unveil new epigenetic signatures of allograft health and is also explored in this report. Directing research initiatives toward these aspirations will not only improve diagnostic precision but may foster new paradigms in transplant immunobiology.
Identifiers
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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.