Redefining Nephrotic Syndrome in Molecular Terms: Outcome-associated molecular clusters and patient stratification with noninvasive surrogate biomarkers
Laura MarianiiD, Sean F. EddyiD, Sebastian MartiniiD, Felix H. EichingeriD, Brad A. Godfrey, Viji NairiD, Sharon G. AdleriD, Gerry B. Appel, Ambarish M. Athavale, Laura M. C. BarisoniiD, Elizabeth BrowniD, Dan C. Cattran, Katherine M. Dell, Vimal Kumar DerebailiD, Fernando Custodio FervenzaiD, Alessia FornoniiD, Crystal Ann Gadegbeku, Keisha L. GibsoniD, Deb Gipson, L. Greenbaum, Sangeeta Hingorani, Michelle A. Hlandunewich, John Hogan, Larry B. Holzman, J. Ashley JeffersoniD, , Matthias KretzleriD
Abstract
A tissue transcriptome driven classification of nephrotic syndrome patients identified a high risk group of patients with TNF activation and established a non-invasive marker panel for pathway activity assessment paving the way towards precision medicine trials in NS.\n\nAbstractNephrotic syndrome from primary glomerular diseases can lead to chronic kidney disease (CKD) and/or end-stage renal disease (ESRD). Conventional diagnoses using a combination of clinical presentation and descriptive biopsy information do not accurately predict risk for progression in patients with nephrotic syndrome, which complicates disease management. To address this challenge, a transcriptome-driven approach was used to classify patients with minimal change disease and focal segmental glomerulosclerosis in the Nephrotic Syndrome Study Network (NEPTUNE). Transcriptome-based classification revealed a group of patients at risk for disease progression. High risk patients had a transcriptome profile consistent with TNF activation. Non-invasive urine biomarkers TIMP1 and CCL2 (MCP1), which are causally downstream of TNF, accurately predicted TNF activation in the NEPTUNE cohort setting the stage for patient stratification approaches and precision medicine in kidney disease.
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