FP7 BIOMARGIN: small sets of urinary cell mRNAs leading to a partition tree on kidney allograft lesions - Individual Prediction and Prevention of Risks of Immunosuppressive Therapies in Transplantation Access content directly
Conference Papers Year : 2018

FP7 BIOMARGIN: small sets of urinary cell mRNAs leading to a partition tree on kidney allograft lesions

Abstract

Background: FP7 Biomargin aimed at detecting and validating biomarkers of kidney graft lesions. In this study, we investigated the diagnostic potential of microRNAs (miRNAs) in allograft biopsy samples. Methods/Materials: Biopsies were collected from protocol or for-cause biopsies in 4 European clinical centers. Samples were retrospectively selected after centralized histological reading by expert pathologists, and classified into 4 groups (Normal, ABMR, TCMR or IF/TA), to build two independent case control studies (discovery- and selection sets). Global miRNA profiling was performed by microfluidic cards (TLDA, Life Technologies) on the discovery set. A statistical pipeline including 2 uni- and 5 multivariate analyses was applied to identify an extended list of biomarker candidates associated with one of the 4 groups. This extended list of miRNAs was quantified using custom TLDA plates on the selection set. Multivariate models were then built to define miRNA signatures of graft lesions. Results: A total of 754 miRNAs was quantified in the discovery set that included 32 Normal, 13 TCMR, 25 IF/TA and 18 ABMR samples. Our statistical pipeline identified 140 candidates that were assessed in the validation cohort of 32 Normal, 13 TCMR, 26 IF/TA and 28 ABMR samples. The table shows the association between histological phenotypes and miRNA-derived statistical models in the validation cohort. Conclusion: We identified a small set of miRNAs within kidney allograft biopsies with a strong association with TCMR and ABMR. These miRNA signatures might provide useful molecular tools to improve allograft assessment. Their diagnostic performance is currently being investigated in our BIOMARGIN trans-sectional study of 312 consecutive allograft samples.

Dates and versions

cea-01883571 , version 1 (28-09-2018)

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Claire Tinel, A. Benon, Stéphane Gazut, Maarten Naesens, Wilfried Gwinner, et al.. FP7 BIOMARGIN: small sets of urinary cell mRNAs leading to a partition tree on kidney allograft lesions. 17th Annual Congress of the French Speaking Society of Transplantation, Société Francophone de Transplantation, Dec 2017, Poitiers - La Rochelle, France. p6 - O5, ⟨10.1111/tri.13101⟩. ⟨cea-01883571⟩
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