Evidence map›Paper›PMID 41766914›Full record

ArticleFrontiers in immunology2026

Risk stratification by donor-derived cell-free DNA: a three-year single center study of kidney transplant outcomes from 257 patients.

Rhys Mendel, Kabir Jalal, Lin Liu, Ying Huang, Cynthia Wan, Eric Zou, Olivia Sorci, Kanishka Mohib, Samer Kareem, John E Tomaszewski and 4 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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.

2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Rhys MendelJacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, United States.
Kabir JalalDepartment of Biostatistics, University at Buffalo, Buffalo, NY, United States.
Lin LiuDepartment of Pathology and Anatomical Sciences, Jacobs School of Medicine & Biomedical Sciences, Buffalo, NY, United States.
Ying HuangDepartment of Pathology and Anatomical Sciences, Jacobs School of Medicine & Biomedical Sciences, Buffalo, NY, United States.
Cynthia WanUniversity of Virginia School of Medicine, Charlottesville, VA, United States.
Eric ZouNorth Carolina School of Sciences and Mathematics, Durham, NC, United States.
Olivia SorciDepartment of Internal Medicine, University of Rochester School of Medicine & Dentistry, Rochester, NY, United States.
Kanishka MohibResearch and Development, CareDx Inc., Brisbane, CA, United States.
Samer KareemDepartment of Medicine, Jacobs School of Medicine & Biomedical Sciences, Erie County Medical Center, Buffalo, NY, United States.
John E TomaszewskiDepartment of Pathology and Anatomical Sciences, Jacobs School of Medicine & Biomedical Sciences, Buffalo, NY, United States.
Jon R Von VisgerDepartment of Medicine, Jacobs School of Medicine & Biomedical Sciences, Erie County Medical Center, Buffalo, NY, United States.
Richard QuiggDepartment of Medicine, Jacobs School of Medicine & Biomedical Sciences, Erie County Medical Center, Buffalo, NY, United States.
Shirley ChangDepartment of Medicine, Jacobs School of Medicine & Biomedical Sciences, Erie County Medical Center, Buffalo, NY, United States.
Xiaoyan WuDepartment of Pediatric Nephrology, Jacobs School of Medicine and Biomedical Sciences, Oishei Children's Hospital, Buffalo, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Donor-derived cell-free DNA is an established blood-based biomarker used to assess alloimmune activity after kidney transplantation. Methods: We performed a retrospective study of 257 kidney transplant recipients that had at least one dd-cfDNA measurements during 3-year period. The primary aim was to assess the association between dd-cfDNA levels with graft function and survival. Secondary exploratory aims included examining the relationships between dd-cfDNA strata and biopsy-proven rejection, donor-specific antibodies, C4d deposition, and longitudinal eGFR trajectories. Patients were stratified by their highest dd-cfDNA measurement into three groups: <0.50%, 0.50-0.99%, and ≥1.0%. Results: Patients categorized in the ≥1.0% dd-cfDNA group had increased rates of rejection, more severe histopathologic injury, and a higher prevalence of DSAs. With the ≥ 0.50-0.90% dd-cfDNA group having greater variability and decline in eGFR over the 3 year period. In exploratory multivariable modeling, higher dd-cfDNA strata were associated with a decline in graft function and survival. Conclusions: Elevated dd-cfDNA levels were associated with adverse alloimmune and functional outcomes, including rejection, DSA positivity, and reduced graft survival (p=0.0071). A logistic regression model identified eGFR decline in the >1.0% group to predict long-term graft failure and patient survival (p=0.04). These findings support the clinical value of dd-cfDNA as a biomarker of alloimmune risk in kidney transplant recipients.

Indexed as

Cell-Free Nucleic AcidsGraft RejectionKidney TransplantationTissue DonorsAdultBiomarkersFemaleGlomerular Filtration RateGraft SurvivalHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentTreatment OutcomeBiomarkersCell-Free Nucleic Acidsacute antibody mediated rejectionacute cellular rejectionallograft rejectionDd-cfDNAkidney transplantmultiple variant analysisnon-invasive diagnosissurvival analysis

Identifiers

PMID41766914
PMCPMC12945818

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