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Using Zebrafish as a novel tool to Improve the Diagnosis and Outcome of Marfan Syndrome

Total Cost €


EC-Contrib. €






 ZIDOMS project word cloud

Explore the words cloud of the ZIDOMS project. It provides you a very rough idea of what is the project "ZIDOMS" about.

proof    drug    combination    symptoms    libraries    of    gene    relies    fibrillin    aid    synergy    animal    look    causal    personalized    unmet    patient    definitive    cure    spectrum    zebrafish    variants    supervisor    prevent    unequivocally    clinic    optimal    historical    patients    quick    exists    biological    identification    advantage    classification    mutation    potentially    diagnosis    clinical    efficient    syndrome    technological    proposing    treatment    expertise    therapies    sips    recent    predictive    marfan    de    discovery    disease    genetic    models    dr    model    linked    physiology    deleterious    nevertheless    treatments    leads    classify    evaluation    screening    classifications    disorder    morbidity    supportive    detection    validate    significance    personal    medicine    tool    mutations    lifelong    researcher    unknown    fbn1    complications    rare    cardiovascular    positive    mortality    precision    prof    strategy    mfs    syndromic    backer   

Project "ZIDOMS" data sheet

The following table provides information about the project.


Organization address
city: GENT
postcode: 9000

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Belgium [BE]
 Total cost 172˙800 €
 EC max contribution 172˙800 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2017
 Funding Scheme MSCA-IF-EF-RI
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2020-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITEIT GENT BE (GENT) coordinator 172˙800.00


 Project objective

Recent technological advances have brought the implementation of personal and precision medicine in the clinic within reach. In this project, we are proposing to use zebrafish as a novel, efficient tool to improve the clinical diagnosis and treatment of Marfan Syndrome (MFS), a rare genetic disorder with a wide spectrum of clinical features. Since there is no definitive cure for MFS, patients need lifelong supportive treatment to prevent morbidity and mortality related to cardiovascular complications. Together with the detection of a number of syndromic symptoms, positive diagnosis of MFS relies on the identification of a deleterious mutation in the fibrillin-1 (FBN1) gene. Nevertheless, genetic testing often leads to the discovery of FBN1 variants which are not unequivocally linked to disease development. Current practice relies on the evaluation of historical and predictive parameters to classify variants of unknown significance as potentially causal mutations, but no biological model exists to efficiently validate the genetic classifications. This project aims to make optimal use of the combination of the know-how of the researcher, Dr. Sips, in the field of cardiovascular physiology and animal models of disease, with the clinical expertise of the supervisor, Prof. De Backer, in the diagnosis and treatment of MFS patients. The goal is to develop a zebrafish-based model that will allow for the quick classification of unknown variants in the FBN1 gene to aid in the diagnosis of MFS. In addition, the model will allow an efficient screening of drug libraries to look for potential new therapies, which might make it possible to find patient-specific treatments. Taken together, this project aims to take advantage of the synergy between the researcher and the supervisor in order to develop a novel strategy for a personalized approach to medicine. MFS is studied as a proof-of-concept clinical challenge with unmet needs in diagnosis and treatment.

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The information about "ZIDOMS" are provided by the European Opendata Portal: CORDIS opendata.

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