| Literature DB >> 34717009 |
Walter D Park1, Dean Y Kim2, Martin L Mai3, Kunam S Reddy4, Thomas Gonwa3, Margaret S Ryan4, Loren P Herrera Hernandez1, Maxwell L Smith4, Xochiquetzal J Geiger3, Sandor Turkevi-Nagy5, Lynn D Cornell1, Byron H Smith1, Walter K Kremers1, Mark D Stegall1.
Abstract
Histologic findings on 1-year biopsies such as inflammation with fibrosis and transplant glomerulopathy predict renal allograft loss by 5 years. However, almost half of the patients with graft loss have a 1-year biopsy that is either normal or has only interstitial fibrosis. The goal of this study was to determine if there was a gene expression profile in these relatively normal 1-year biopsies that predicted subsequent decline in renal function. Using transcriptome microarrays we measured intragraft mRNA levels in a retrospective Discovery cohort (170 patients with a normal/minimal fibrosis 1-year biopsy, 54 with progressive decline in function/graft loss and 116 with stable function) and developed a nested 10-fold cross-validated gene classifier that predicted progressive decline in renal function (positive predictive value = 38 ± 34%%; negative predictive value = 73 ± 30%, c-statistic = .59). In a prospective, multicenter Validation cohort (270 patients with Normal/Interstitial Fibrosis [IF]), the classifier had a 20% positive predictive value, 85% negative predictive value and .58 c-statistic. Importantly, the majority of patients with graft loss in the prospective study had 1-year biopsies scored as Normal or IF. We conclude predicting graft loss in many renal allograft recipients (i.e., those with a relatively normal 1-year biopsy and eGFR > 40) remains difficult.Entities:
Keywords: genomics; glomerular filtration rate; kidney (allograft) function / dysfunction
Mesh:
Year: 2021 PMID: 34717009 PMCID: PMC8702476 DOI: 10.1111/ctr.14456
Source DB: PubMed Journal: Clin Transplant ISSN: 0902-0063 Impact factor: 2.863