Project

Build a longitudinal cohort of patients with in-depth phenotyping

Coordination

Scientific director :

Marion Leboyer

Coordinating institution :

Inserm

Key words

French Minds, observational, multicenter cohort, deep-phenotyping,  bipolar disorders, depression, schizophrenia, autism, transnosographical, electrophysiology, genomics, immunology, brain imaging, digital, environment, pathophysiology, comorbidity

Key data
  • Budget : 42 M€
  • Duration : 60 months
  • Number : ANR-22-EXPR-0013
Summary

Current psychiatric classifications, based on a categorical approach, present a high degree of clinical and biological heterogeneity, limiting the effectiveness of treatments. Precision psychiatry aims to overcome these limitations by integrating biomarkers to identify homogeneous subgroups, refine diagnostic classifications and with time develop targeted treatments.

In this context, PEPR PROPSY is supporting French Minds, a national, longitudinal, multimodal cohort, which will include 2,500 patients with bipolar disorder, schizophrenia, major depression and autism spectrum disorders, as well as 500 controls. The aim is to identify transdiagnostic profiles, focusing on social withdrawal and anhedonia, two central and often disabling dimensions of these pathologies.

The study, conducted in 35 French hospitals, is based on an 14-month follow-up including :

  • Two face-to-face visits, one year apart, with standardized clinical and neuropsychological assessments, biological samples (blood, microbiota), brain MRIs (structural and functional) and measurements of vital constants.
  • Monthly digital assessments, via online questionnaires and connected watches, to collect data on sleep, activity and symptom variations in real time.

Biological samples will be analyzed to identify multi-omics biomarkers (genomics, transcriptomics, metabolomics, immunology, microbiota), notably via CEA research platforms (CATI, MétaboHub, CNRGH).

The integration of these multimodal data will be centralized in a health data warehouse and exploited by artificial intelligence and machine learning algorithms, in order to:

  • Identify homogeneous subgroups and transnosographic dimensions.
  • Clarify individual trajectories of psychiatric disorders.
  • Develop new therapeutic targets and personalized strategies.

Thanks to this innovative approach, French Minds represents a major step towards precision psychiatry, based on robust data that can be exploited on a large scale.

The project mobilizes a broad network of expertise, including the Expert Centers coordinated by the Fondation FondaMental, the university hospital centers of the RHU PsyCARE, and the Clinical Investigation Centers (CIC).

Partners

Ap-HP, CEA, Fondation FondaMental