A Simple Molecular Tool for the Assessment of Kidney Transplant Biopsies. Issue 4 (8th April 2023)

• Record Type: Journal Article
• Authors: de Nattes, Tristan; Beadle, Jack; Toulza, Frederic; Candon, Edvin; Ruminy, Philippe; François, Arnaud; Bertrand, Dominique; Guerrot, Dominique; Drieux, Fanny; Roufosse, Candice; Candon, Sophie
• Is Part Of: Clinical journal of the American Society of Nephrology. Volume 18:Issue 4(2023)
• Page Start: 499
• Page End: 509
• Publication Date: 2023-04-08
• Subjects: molecular biology -- rejection -- kidney transplantation -- multiplex polymerase chain reaction
• DOI: 10.2215/CJN.0000000000000100
• Languages: English
• ISSNs: 1555-9041

Abstract

Visual Abstract: Abstract : Background: The Banff Classification for Allograft Pathology recommendations for the diagnosis of kidney transplant rejection includes molecular assessment of the transplant biopsy. However, implementation of molecular tools in clinical practice is still limited, partly due to the required expertise and financial investment. The reverse transcriptase multiplex ligation-dependent probe amplification (RT-MLPA) assay is a simple, rapid, and inexpensive assay that permits simultaneous evaluation of a restricted gene panel using paraffin-embedded tissue blocks. The aim of this study was to develop and validate a RT-MLPA assay for diagnosis and classification of rejection. Methods: A retrospective cohort of 220 kidney transplant biopsies from two centers, which included 52 antibody-mediated rejection, 51 T-cell–mediated rejection, and 117 no-rejection controls, was assessed. A 17-gene panel was identified on the basis of relevant pathophysiological pathways. A support vector machine classifier was developed. A subset of 109 biopsies was also assessed using the Nanostring Banff Human Organ Transplant panel to compare the two assays. Results: The support vector machine classifier train and test accuracy scores were 0.84 and 0.83, respectively. In the test cohort, the F1 score for antibody-mediated rejection, T-cell–mediated rejection, and control were 0.88, 0.86, and 0.69, respectively. Using receiver-operating characteristic curves, the area under the curve for class predictions was 0.96, 0.89, and 0.91, respectively, with a weighted average at 0.94. Classifiers' performances were highest for antibody-mediated rejection diagnosis with 94% correct predictions, compared with 88% correct predictions for control biopsies and 60% for T-cell–mediated rejection biopsies. Gene expression levels assessed by RT-MLPA and Nanostring were correlated: r = 0.68, P < 0.001. Equivalent gene expression profiles were obtained with both assays in 81% of the samples. Conclusions: The 17-gene panel RT-MLPA assay, developed here for formalin-fixed paraffin-embedded kidney transplant biopsies, classified kidney transplant rejection with an overall accurate prediction ratio of 0.83. Podcast: This article contains a podcast at https://dts.podtrac.com/redirect.mp3/www.asn-online.org/media/podcast/CJASN/2023_04_10_CJN10100822.mp3