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Discovery and Validation of a Urinary Exosome mRNA Signature for the Diagnosis of Human Kidney Transplant Rejection

Authors :
James Hurley
Johan Skog
Anand Srivastava
Albana B Mihali
Leonardo V. Riella
Karim M. Yatim
Jamil Azzi
Mauricio P. Lima Filho
Bruno T. Aoyama
Juliano B. Alhaddad
Siawosh K. Eskandari
Hazim Allos
James F. Markmann
Kassem Safa
Isadora T. Lape
Vasisht Tadigotla
Anil Chandraker
John Choi
Christine M. Coticchia
Richard N. Formica
Areej Alghamdi
Philip Chu
Rania El Fekih
Source :
J Am Soc Nephrol
Publication Year :
2021
Publisher :
Ovid Technologies (Wolters Kluwer Health), 2021.

Abstract

Background Developing a noninvasive clinical test to accurately diagnose kidney allograft rejection is critical to improve allograft outcomes. Urinary exosomes, tiny vesicles released into the urine that carry parent cells' proteins and nucleic acids, reflect the biologic function of the parent cells within the kidney, including immune cells. Their stability in urine makes them a potentially powerful tool for liquid biopsy and a noninvasive diagnostic biomarker for kidney-transplant rejection. Methods Using 192 of 220 urine samples with matched biopsy samples from 175 patients who underwent a clinically indicated kidney-transplant biopsy, we isolated urinary exosomal mRNAs and developed rejection signatures on the basis of differential gene expression. We used crossvalidation to assess the performance of the signatures on multiple data subsets. Results An exosomal mRNA signature discriminated between biopsy samples from patients with all-cause rejection and those with no rejection, yielding an area under the curve (AUC) of 0.93 (95% CI, 0.87 to 0.98), which is significantly better than the current standard of care (increase in eGFR AUC of 0.57; 95% CI, 0.49 to 0.65). The exosome-based signature's negative predictive value was 93.3% and its positive predictive value was 86.2%. Using the same approach, we identified an additional gene signature that discriminated patients with T cell-mediated rejection from those with antibody-mediated rejection (with an AUC of 0.87; 95% CI, 0.76 to 0.97). This signature's negative predictive value was 90.6% and its positive predictive value was 77.8%. Conclusions Our findings show that mRNA signatures derived from urinary exosomes represent a powerful and noninvasive tool to screen for kidney allograft rejection. This finding has the potential to assist clinicians in therapeutic decision making.

Details

ISSN :
15333450 and 10466673
Volume :
32
Database :
OpenAIRE
Journal :
Journal of the American Society of Nephrology
Accession number :
edsair.doi.dedup.....032813607d4e57c3f13641c68d5bbb5d