ArticlePloS one2019
A urinary Common Rejection Module (uCRM) score for non-invasive kidney transplant monitoring.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.
- Urinary Biomarkers for Diagnosis and Prediction of Acute Kidney Allograft Rejection: A Systematic Review.International journal of molecular sciences · 2020Pooled it
- Dried Blood Spot for CXCL-10 and Tacrolimus: Integrated Non-Invasive Monitoring to Guide Personalized Treatment in Adult Kidney Transplant Recipients.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Exploring Chronic Rejection in Organ Transplantation Through Computational Modeling.Results and problems in cell differentiation · 2026Review
- Renal Allograft Pathology Classifications: Contemporary Updates and Diagnostic Utility.Cureus · 2025Review
- Gene expression-based molecular scoring of pancreas transplant rejection for a quantitative assessment of rejection severity and resistance to treatment.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2025Article
- Transforming kidney transplant monitoring with urine CXCL9 and CXCL10: practical clinical implementation.Scientific reports · 2024Article
- Current and emerging tools for simultaneous assessment of infection and rejection risk in transplantation.Frontiers in immunology · 2024Review
- Evolution of human kidney allograft pathology diagnostics through 30 years of the Banff classification process.World journal of transplantation · 2023Review
- The IMBG Test for Evaluating the Pharmacodynamic Response to Immunosuppressive Therapy in Kidney Transplant Patients: Current Evidence and Future Applications.International journal of molecular sciences · 2023Article
- A plasmatic score using a miRNA signature and CXCL-10 for accurate prediction and diagnosis of liver allograft rejection.Frontiers in immunology · 2023Observational
- Molecular immune monitoring in kidney transplant rejection: a state-of-the-art review.Frontiers in immunology · 2023Review
- Urinary C-X-C Motif Chemokine 10 Is Related to Acute Graft Lesions Secondary to T Cell- and Antibody-Mediated Damage.Annals of transplantation · 2021Article
- Non-Invasive Diagnosis for Acute Rejection Using Urinary mRNA Signature Reflecting Allograft Status in Kidney Transplantation.Frontiers in immunology · 2021Article
- Maintenance Immunosuppression in Solid Organ Transplantation: Integrating Novel Pharmacodynamic Biomarkers to Inform Calcineurin Inhibitor Dose Selection.Clinical pharmacokinetics · 2020Review
- Role of novel biomarkers in kidney transplantation.World journal of transplantation · 2020Review
- Targeted Urine Metabolomics for Monitoring Renal Allograft Injury and Immunosuppression in Pediatric Patients.Journal of clinical medicine · 2020Article
- Kidney diseases in the time of COVID-19: major challenges to patient care.The Journal of clinical investigation · 2020Article
- A urine score for noninvasive accurate diagnosis and prediction of kidney transplant rejection.Science translational medicine · 2020Article
- Use of the Tissue Common Rejection Module Score in Kidney Transplant as an Objective Measure of Allograft Inflammation.Frontiers in immunology · 2020Article
- Noninvasive Urinary Monitoring of Progression in IgA Nephropathy.International journal of molecular sciences · 2019Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 2 countries.
Funding
Abstract
A Common Rejection Module (CRM) consisting of 11 genes expressed in allograft biopsies was previously reported to serve as a biomarker for acute rejection (AR), correlate with the extent of graft injury, and predict future allograft damage. We investigated the use of this gene panel on the urine cell pellet of kidney transplant patients. Urinary cell sediments collected from patients with biopsy-confirmed acute rejection, borderline AR (bAR), BK virus nephropathy (BKVN), and stable kidney grafts with normal protocol biopsies (STA) were analyzed for expression of these 11 genes using quantitative polymerase chain reaction (qPCR). We assessed these 11 CRM genes for their abundance, autocorrelation, and individual expression levels. Expression of 10/11 genes were elevated in AR when compared to STA. Psmb9 and Cxcl10could classify AR versus STA as accurately as the 11-gene model (sensitivity = 93.6%, specificity = 97.6%). A uCRM score, based on the geometric mean of the expression levels, could distinguish AR from STA with high accuracy (AUC = 0.9886) and correlated specifically with histologic measures of tubulitis and interstitial inflammation rather than tubular atrophy, glomerulosclerosis, intimal proliferation, tubular vacuolization or acute glomerulitis. This urine gene expression-based score may enable the non-invasive and quantitative monitoring of AR.
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