Intracranial aneurysm

Romain Bourcier & Richard Redon

Principal Investigators: Romain Bourcier, Hubert Desal, Richard Redon
Post docs: Fabien Laporte, Rafic Nader
PhD students: Raphaël Blanchet, Pacôme Constant Dit-Beaufils
Support staff: Florent Autrusseau, Christian Dina, Alban GaignardCamille Maïano, Laurent Vallet

 

A haemorrhagic stroke caused by the rupture of an intracranial aneurysm (IA) is fatal in 50% of cases. An IA is an asymptomatic cerebrovascular abnormality that affects 3% of the general population. There is still no reliable strategy to predict the formation and/or fate of an IA, nor are there pharmacological means to prevent rupture. Although there is increasing evidence that IA has a heritable component, the molecular mechanisms underlying IA formation, growth and rupture are largely unknown.

To elucidate the pathophysiology of IA, we are relying on a nationwide effort by neuroradiology centres to systematically collect clinical, biological and anatomical (imaging) data from patients diagnosed with IA. Based on this unique resource, we aim to address the molecular basis of familial, early-onset and/or multiple forms of IA, to refine specific phenotypes of the disease and to identify novel disease-susceptibility genes. In parallel, we have joined the IA Genetics Working Group of the International Stroke and Genetics Consortium, contributing to genome-wide association studies and phenotypic-genotypic analyses. Downstream functional analyses on newly identified disease-susceptibility genes are performed in collaboration with the group led by Gervaise Loirand & Anne-Clémence Vion in Team III - Vascular & Pulmonary Diseases. Our common work may reveal endo-phenotypes of the disease and contribute to a better understanding of the pathophysiology of IA.

To make best use of the collected clinical and imaging database, we are developing new tools for automated image analysis, and conducting epidemiological studies to improve IA risk stratification in the general population. By combining clinical, anatomical and molecular information in multimodal approaches, our ultimate goal is to accurately predict IA formation and progression to rupture.

Learn more about our projects:


Funding

  • Agence Nationale de la Recherche
  • CHU de Nantes
  • Inserm
  • NEXT - Nantes Université
  • PEPR - Santé Numérique
  • Région Pays de la Loire


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Mis à jour le 23 April 2024.