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Automated Urinary Chemokine Assays for Noninvasive Detection of Kidney Transplant Rejection: A Prospective Cohort Study.
Van Loon, Elisabet; Tinel, Claire; de Loor, Henriette; Bossuyt, Xavier; Callemeyn, Jasper; Coemans, Maarten; De Vusser, Katrien; Sauvaget, Virginia; Olivre, Juliette; Koshy, Priyanka; Kuypers, Dirk; Sprangers, Ben; Van Craenenbroeck, Amaryllis H; Vaulet, Thibaut; Anglicheau, Dany; Naesens, Maarten.
Affiliation
  • Van Loon E; Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven; Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium.
  • Tinel C; Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven.
  • de Loor H; Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven.
  • Bossuyt X; Clinical and Diagnostic Immunology, Department of Microbiology, Immunology and Transplantation, KU Leuven, Leuven; Department of Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium.
  • Callemeyn J; Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven; Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium.
  • Coemans M; Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven.
  • De Vusser K; Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven; Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium.
  • Sauvaget V; INSERM U1151, Université de Paris, Paris, France.
  • Olivre J; INSERM U1151, Université de Paris, Paris, France.
  • Koshy P; Department of Imaging and Pathology, KU Leuven, Leuven.
  • Kuypers D; Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven; Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium.
  • Sprangers B; Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven; Laboratory of Molecular Immunology, Department of Microbiology and Immunology, Rega Institute for Medical Research, KU Leuven, Leuven.
  • Van Craenenbroeck AH; Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven; Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium.
  • Vaulet T; ESAT STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven.
  • Anglicheau D; INSERM U1151, Université de Paris, Paris, France; Department of Nephrology and Kidney Transplantation, RTRS Centaure, Necker Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
  • Naesens M; Department of Microbiology, Immunology and Transplantation, Nephrology and Kidney Transplantation Research Group, KU Leuven, Leuven; Department of Nephrology and Kidney Transplantation, University Hospitals Leuven, Leuven, Belgium. Electronic address: maarten.naesens@uzleuven.be.
Am J Kidney Dis ; 83(4): 467-476, 2024 Apr.
Article in En | MEDLINE | ID: mdl-37777058
ABSTRACT
RATIONALE &

OBJECTIVE:

Prior studies have demonstrated the diagnostic potential of urinary chemokines C-X-C motif ligand 9 (CXCL9) and CXCL10 for kidney transplant rejection. However, their benefit in addition to clinical information has not been demonstrated. We evaluated the diagnostic performance for detecting acute rejection of urinary CXCL9 and CXCL10 when integrated with clinical information. STUDY

DESIGN:

Single-center prospective cohort study. SETTING &

PARTICIPANTS:

We analyzed 1,559 biopsy-paired urinary samples from 622 kidney transplants performed between April 2013 and July 2019 at a single transplant center in Belgium. External validation was performed in 986 biopsy-paired urinary samples. TESTS COMPARED We quantified urinary CXCL9 (uCXCL9) and CXCL10 (uCXCL10) using an automated immunoassay platform and normalized the values to urinary creatinine. Urinary chemokines were incorporated into a multivariable model with routine clinical markers (estimated glomerular filtration rate, donor-specific antibodies, and polyoma viremia) (integrated model). This model was then compared with the tissue diagnosis according to the Banff classification for acute rejection.

OUTCOME:

Acute rejection detected on kidney biopsy using the Banff classification.

RESULTS:

Chemokines integrated with routine clinical markers had high diagnostic value for detection of acute rejection (n=150) (receiver operating characteristic area under the curve 81.3% [95% CI, 77.6-85.0]). The integrated model would help avoid 59 protocol biopsies per 100 patients when the risk for rejection is predicted to be below 10%. The performance of the integrated model was similar in the external validation cohort.

LIMITATIONS:

The cross-sectional nature obviates investigating the evolution over time and prediction of future rejection.

CONCLUSIONS:

The use of an integrated model of urinary chemokines and clinical markers for noninvasive monitoring of rejection could enable a reduction in the number of biopsies. Urinary chemokines may be useful noninvasive biomarkers whose use should be further studied in prospective randomized trials to clarify their role in guiding clinical care and the use of biopsies to detect rejection after kidney transplantation. PLAIN-LANGUAGE

SUMMARY:

Urinary chemokines CXCL9 and CXCL10 have been suggested to be good noninvasive biomarkers of kidney transplant rejection. However, defining a context of use and integration with clinical information is necessary before clinical implementation can begin. In this study, we demonstrated that urinary chemokines CXCL9 and CXCL10, together with clinical information, have substantial diagnostic accuracy for the detection of acute kidney transplant rejection. Application of urinary chemokines together with clinical information may guide biopsy practices following kidney transplantation and potentially reduce the need for kidney transplant biopsies.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Kidney Transplantation / Kidney Diseases Type of study: Clinical_trials / Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Am J Kidney Dis Year: 2024 Document type: Article Affiliation country: Bélgica

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Kidney Transplantation / Kidney Diseases Type of study: Clinical_trials / Diagnostic_studies / Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Am J Kidney Dis Year: 2024 Document type: Article Affiliation country: Bélgica
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