MapGen | Determining Genetic Bases of Differential Response to Antipsychotics Using Patient-Derived Neurons

Summary
Schizophrenia (SCZ) affects 20 million people worldwide and antipsychotics remain the only effective pharmacological intervention. However, one-third of people with SCZ do not respond to first-line antipsychotic drugs. In the absence of clinical biomarkers to stratify SCZ subtypes, all individuals receive the same initial intervention, and it takes >4 years on average before people with resistant forms of the condition receive suitable treatment.

My overall aim is to unravel the pre-symptomatic cell-type-specific genetic circuits contributing to differential treatment response in SCZ. To achieve my aim I will use an interdisciplinary approach that improves my technical and soft skills and further extends my international network through a two-year stay at Yale University, and three months secondment at Harvard Medical School. During the return phase, I will establish myself as an independent researcher and a suitable candidate for leadership of a to-be-established stem cell lab at the host institute.

Objectives are (O1) to identify cell-type-specific neuronal pathways associated with distinct neurotransmission imbalances in each SCZ subgroup using a human-based neurodevelopmental model. (O2) To determine the functional link between SCZ-associated risk variants and response to antipsychotics.

Method: I will couple advanced stem cell models (region-specific brain organoids) with single-cell RNA sequencing to generate cell-type-specific transcriptomic profiles of patient-derived brain organoids from treatment-responsive and treatment-resistant forms of SCZ. I will integrate the potential risk variants from SCZ-GWAS and use published functional genomics data to determine the genetic pathways and associated regulators implicated in the etiopathophysiology of differential response to antipsychotics.

Impact: identify distinct genetic makeup for each SCZ subgroup to serve as potential predictive biomarkers and points of therapeutic intervention.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/101065629
Start date: 01-01-2023
End date: 31-12-2025
Total budget - Public funding: - 307 939,00 Euro
Cordis data

Original description

Schizophrenia (SCZ) affects 20 million people worldwide and antipsychotics remain the only effective pharmacological intervention. However, one-third of people with SCZ do not respond to first-line antipsychotic drugs. In the absence of clinical biomarkers to stratify SCZ subtypes, all individuals receive the same initial intervention, and it takes >4 years on average before people with resistant forms of the condition receive suitable treatment.

My overall aim is to unravel the pre-symptomatic cell-type-specific genetic circuits contributing to differential treatment response in SCZ. To achieve my aim I will use an interdisciplinary approach that improves my technical and soft skills and further extends my international network through a two-year stay at Yale University, and three months secondment at Harvard Medical School. During the return phase, I will establish myself as an independent researcher and a suitable candidate for leadership of a to-be-established stem cell lab at the host institute.

Objectives are (O1) to identify cell-type-specific neuronal pathways associated with distinct neurotransmission imbalances in each SCZ subgroup using a human-based neurodevelopmental model. (O2) To determine the functional link between SCZ-associated risk variants and response to antipsychotics.

Method: I will couple advanced stem cell models (region-specific brain organoids) with single-cell RNA sequencing to generate cell-type-specific transcriptomic profiles of patient-derived brain organoids from treatment-responsive and treatment-resistant forms of SCZ. I will integrate the potential risk variants from SCZ-GWAS and use published functional genomics data to determine the genetic pathways and associated regulators implicated in the etiopathophysiology of differential response to antipsychotics.

Impact: identify distinct genetic makeup for each SCZ subgroup to serve as potential predictive biomarkers and points of therapeutic intervention.

Status

SIGNED

Call topic

HORIZON-MSCA-2021-PF-01-01

Update Date

09-02-2023
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Horizon Europe
HORIZON.1 Excellent Science
HORIZON.1.2 Marie Skłodowska-Curie Actions (MSCA)
HORIZON.1.2.0 Cross-cutting call topics
HORIZON-MSCA-2021-PF-01
HORIZON-MSCA-2021-PF-01-01 MSCA Postdoctoral Fellowships 2021