PRODUCT LITERATURE
Discovery and Validation of a Molecular Signature for the Noninvasive Diagnosis of Human Renal Allograft Fibrosis
In the discovery set, urinary cell levels of the following mRNAs were significantly associated with the presence
of allograft fibrosis: vimentin (PG0.0001, logistic regression model), hepatocyte growth factor (PG0.0001), >Ysmooth
muscle actin (PG0.0001), fibronectin 1 (PG0.0001), perforin (P=0.0002), plasminogen activator inhibitor 1
(P=0.0002), transforming growth factor A1 (P=0.0004), tissue inhibitor of metalloproteinase 1 (P=0.0009), granzyme
B (P=0.0009), fibroblast-specific protein 1 (P=0.006), CD103 (P=0.02), and collagen 1A1 (P=0.04). A fourgene
model composed of the levels of mRNA for vimentin, NKCC2, and E-cadherin and of 18S ribosomal RNA
provided the most accurate, parsimonious diagnostic model of allograft fibrosis with a sensitivity of 93.8% and a
specificity of 84.1% (PG0.0001). In the independent validation set, this same model predicted the presence of
allograft fibrosis with a sensitivity of 77.3% and a specificity of 87.5% (PG0.0001).
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