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The Renal Cysts and Diabetes syndrome : from transcriptional profiling and functional analysis of a novel mouse model to biomarkers evaluation in human patients

Abstract : Heterozygous mutations in the gene encoding the transcription factor HNF1B are the cause of a complex multisystem syndrome known as Renal Cysts And Diabetes (RCAD). A mouse model generated in our laboratory was shown to reproduce several features of the human disease. We performed high-throughput mRNA-microRNA sequencing at different developmental stages (E14.5, E15.5, E17.5). We showed that the most down-regulated genes were involved in transport, lipid and organic acid metabolic processes and expressed in proximal tubules and to a lesser extent in the loop of Henle and collecting ducts. We then selected four microRNAs (mir-802, 194-2, 192 and -30a), which were down-regulated and potentially controlled by HNF1B. Luciferase assays in HEK-293 cells showed that HNF1B was able to specifically transactivate in a dose response mode these microRNAs through binding HNF1B-binding sites in their regulatory promoter/enhancer upstream sequences. We subsequently showed by luciferase assays using miRNA MIMICS that mir-802, mir-194-2 and mir-192 were able to inhibit luciferase vectors containing the 3’UTR of Hnf1b. Analysis of urine samples from 22 RCAD patients and 22 healthy controls led to the identification of 146 peptides differentially excreted and associated with RCAD including a similarity regarding collagen and uromodulin fragments with the RCAD mouse model. Combining the peptides into a mathematical model we used independent cohorts of patients to validate the prediction of the RCAD syndrome. Our classifier efficiently predicted RCAD syndrome with 91.7% sensitivity and 91.1% specificity on a wide population.
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  • HAL Id : tel-02344993, version 2

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Pierbruno Ricci. The Renal Cysts and Diabetes syndrome : from transcriptional profiling and functional analysis of a novel mouse model to biomarkers evaluation in human patients. Development Biology. Sorbonne Université, 2018. English. ⟨NNT : 2018SORUS111⟩. ⟨tel-02344993v2⟩

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