A urine score for noninvasive accurate diagnosis and prediction of kidney transplant rejection
Author(s) -
Joshua Yang,
Reuben D. Sarwal,
Tara K. Sigdel,
Izabella Damm,
Ben Rosenbaum,
Juliane Liberto,
Chitra Chanon,
María José Guerra Palmero,
Josefina Alberú,
Flavio Vincenti,
Minnie Sarwal
Publication year - 2020
Publication title -
science translational medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.819
H-Index - 216
eISSN - 1946-6242
pISSN - 1946-6234
DOI - 10.1126/scitranslmed.aba2501
Subject(s) - medicine , urine , receiver operating characteristic , urinary system , urology , kidney , creatinine , kidney transplantation , area under the curve , cohort
Accurate and noninvasive monitoring of renal allograft posttransplant is essential for early detection of acute rejection (AR) and to affect the long-term survival of the transplant. We present the development and validation of a noninvasive, spot urine-based diagnostic assay based on measurements of six urinary DNA, protein, and metabolic biomarkers. The performance of this assay for detecting kidney injury in both native kidneys and renal allografts is presented on a cohort of 601 distinct urine samples. The urinary composite score enables diagnosis of AR, with a receiver-operator characteristic curve area under the curve of 0.99 and an accuracy of 96%. In addition, we demonstrate the clinical utility of this assay for predicting AR before a rise in the serum creatinine, enabling earlier detection of rejection than currently possible by standard of care tests. This noninvasive, sensitive, and quantitative approach is a robust and informative method for the rapid and routine monitoring of renal allografts.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom