Precision Diagnosis and Management in Kidney Transplantation

A special issue of Diagnostics (ISSN 2075-4418). This special issue belongs to the section "Pathology and Molecular Diagnostics".

Deadline for manuscript submissions: 31 July 2025 | Viewed by 1456

Special Issue Editors

Department of Urology, Zhongshan Hospital, Fudan University, Shanghai, China
Interests: kidney; transplantation; immunology; fibrosis; kidney injury
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Guest Editor
Organ Transplant Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China
Interests: antibody mediated rejection; pediatric kidney transplantation

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Guest Editor
Department of Internal Medicine, Nephrology Division, Ghent University Hospital, 9000 Ghent, Belgium
Interests: biochemistry; biomarkers; hypertension; cardiovascular disease; kidney disease
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Special Issue Information

Dear Colleagues,

Based on the rapid development of molecular biology and immunology, precision diagnosis and treatment in kidney transplantation continue to make breakthroughs. Many non-invasive and molecular diagnostic methods have been applied in clinical kidney transplantation, and gene and cell therapy will also usher in a new era of diagnosis and treatment in the future. Based on this, this Special Issue hopes to present recent progress in this area of medicine in the form of original research and reviews. Potential sub-topics include the following:

1. Novel medical imaging in kidney transplantation theranostics.
2. Molecular diagnostics in kidney transplantation.
3. Diagnostics based on next generation sequencing or multi-omics.
4. Cutting-edge genes and therapy in kidney transplantation.

Dr. Cheng Yang
Dr. Longshan Liu
Prof. Dr. Marijn Speeckaert
Guest Editors

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Keywords

  • kidney transplantation
  • molecular diagnosis
  • immune repertoire
  • single cell sequencing
  • multi-omics sequencing
  • radiology
  • ultrasound
  • stem cell
  • gene and cell therapy

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Published Papers (1 paper)

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Research

11 pages, 1935 KiB  
Article
Integrating Donor Derived Cell-Free DNA Fraction and Absolute Quantification for Enhanced Rejection Diagnosis in Kidney Transplant Recipients
by Weijian Nie, Yan Wang, Qian Fu, Chenglin Wu, Ronghai Deng, Xiaolin Yu, Caiguo Ye, Xiangjun Liu, Bowen Xu, Pingping Sun, Longshan Liu, Jun Li, Huanxi Zhang and Changxi Wang
Diagnostics 2025, 15(3), 237; https://doi.org/10.3390/diagnostics15030237 - 21 Jan 2025
Viewed by 929
Abstract
Background: This study aimed to assess the diagnostic accuracy of combining donor-derived cell-free DNA (dd-cfDNA) fraction and absolute quantification in detecting kidney allograft rejection. Methods: A prospective study was conducted from December 2019 to April 2021 at the First Affiliated Hospital of Sun [...] Read more.
Background: This study aimed to assess the diagnostic accuracy of combining donor-derived cell-free DNA (dd-cfDNA) fraction and absolute quantification in detecting kidney allograft rejection. Methods: A prospective study was conducted from December 2019 to April 2021 at the First Affiliated Hospital of Sun Yat-sen University. Kidney transplant recipients who underwent biopsy, including cases of T-cell-mediated rejection (TCMR), antibody-mediated rejection (ABMR), and borderline rejection, were included. dd-cfDNA fraction and absolute concentrations were measured, and diagnostic efficacy was evaluated using receiver operating characteristic (ROC) analysis. The double-positive and double-negative methods were applied to assess performance. Results: A total of 50 kidney transplant recipients were included. The dd-cfDNA fraction cutoff of 1.08% achieved 93.33% sensitivity and 91.43% specificity (AUC = 0.95), with an NPV of 96.97% and a PPV of 82.35%. The absolute dd-cfDNA threshold of 32 cp/mL yielded 80.00% sensitivity and 71.43% specificity (AUC = 0.78), with an NPV of 89.29% and a PPV of 54.55%. The double-positive method provided superior accuracy, with a PPV of 91.67% and an NPV of 89.47%, demonstrating 73.33% sensitivity and 97.14% specificity. The double-negative method achieved 100% NPV and 100% sensitivity. Conclusions: Combining dd-cfDNA fraction and absolute quantification improves diagnostic accuracy for kidney transplant rejection, especially ABMR. The double-positive and double-negative approaches show high predictive value, offering potential clinical value for monitoring kidney transplant recipients. Full article
(This article belongs to the Special Issue Precision Diagnosis and Management in Kidney Transplantation)
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