Défense de thèse

Défense de thèse d'Arianna CIRILLO

Sciences biomédicales et pharmaceutiques

Info

Dates
Le 16 avril 2024
Location
Amphithéâtre Stainier, Institut de Pharmacie, B36
Duration
2 heures
Schedule
17h00 - 19h00

Le mardi 16 avril 2024, Madame Arianna CIRILLO, titulaire d'un diplôme de Laurea magistrale in chimica e tecnologia farmaceutiche et d'un Certificat de formation à la recherche en sciences biomédicales et pharmaceutiques, présentera l'examen en vue de l'obtention du grade de Doctorat en sciences biomédicales et pharmaceutiques, sous la direction de Monsieur Pascal DE TULLIO. et de Monsieur François JOURET.

Cette épreuve consistera en la défense publique d'une thèse intitulée : 

"Application of metabolomics to the evaluation of renal function in kidney transplantation".

Le jury sera composé de :

Pierre DELANAYE (Président), Etienne CAVALIER (Secrétaire), Jean-Marie COLET (UMons), Olivier DETRY,  Pascal DE TULLIO, Marianne FILLET, François JOURET, Emmanuelle VIDAL PETIOT (Hôp. Bichat)

Résumé de la thèse

Kidney transplantation (Ktx) represents nowadays the best treatment for patients with end-stage kidney disease. Allograft dysfunction post-transplantation currently represents the leading cause of altered kidney function and rejection. For this reason, the long-term success of a transplantation depends on the graft quality at transplantation time and of a continuous follow-up of kidney transplant recipient. In this work we propose the application of a metabolomics approach to explore several challenges linked to Ktx: (1) the accurate assessment of graft quality before-transplantation; (2) a consistent and precise monitoring of patients during post-transplantation period.  To achieve these goals two different cohorts were analyzed in parallel. The first cohort consists of urine samples collected at 3-and 12-months post-transplantation with patient’s stratification based on mGFR value. Combination of NMR and MS-based metabolomics approaches were used to predict and monitor kidney function decline. For the second cohort, samples of perfusate collected during transplantation were used for the analysis. NMR metabolomics was employed in this cohort with the aims to define a panel of biomarkers predicting the occurrence of kidney dysfunction in post-graft period. The primary goals of this thesis are to create tools helping clinicians in patient management and follow-up within their clinical practice. 

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