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Phenotypic and Molecular Characterisation of Cerebral Amyloid Angiopathy

Phenotypic and Molecular Characterisation of Early-onset Cerebral Amyloid Angiopathy

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT06864000
Acronym
GENERALITY2
Enrollment
100
Registered
2025-03-07
Start date
2023-03-31
Completion date
2027-12-30
Last updated
2025-03-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cerebral Amyloid Aβ Angiopathy

Keywords

Phenotypic and molecular characterisation

Brief summary

Cerebral Aβ amyloid angiopathy is a severe disease characterised by amyloid deposits in the cerebral vessels, manifested mainly by recurrent cerebral haematomas and cognitive impairment. Diagnostic criteria are based on brain imaging, but the usefulness of this imaging in predicting the course of the disease remains undetermined. The genetic component is largely understudied. Less than 5% of patients carry mutations or duplications of the APP gene. Susceptibility factors such as APOE genotypes and rare variants recently discovered in Alzheimer's disease within the SORL1, TREM2 or ABCA7, ABCA1 and ATP8B4 genes could play a role in the pathophysiology of cerebral amyloid angiopathy. There is currently no specific treatment available. Based on a national recruitment of patients with cerebral amyloid angiopathy, this project aims to assess the role of genetic variants in the diagnosis and progression of cerebral amyloid angiopathy. A better understanding of the mechanisms, particularly genetic, could help us to develop treatments in the era of gene therapy.

Detailed description

This research is carried out on the same blood sample taken during the treatment and sent to the Rouen University Hospital Genetics Laboratory for research into point mutations or duplication of the APP gene as part of the diagnosis of cerebral amyloid angiopathy (CAA). For each gene, the proportions of variant carriers will be compared between cases and controls using a Fisher exact test with R statistical software. To rule out any population stratification bias, the tests will also be carried out using logistic regression adjusted on the first PCA axes (principal component analysis) using the seqmeta function. A Bonferroni correction will then be used to adjust the significance threshold according to the number of genes tested.

Interventions

None listed

Sponsors

University Hospital, Rouen
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to 99 Years
Healthy volunteers
Yes

Inclusion criteria

* Patients with a diagnosis of cerebral amyloid angiopathy (CAA) whose genetic samples are initially sent to the Rouen or Paris-Lariboisière genetics laboratories for molecular diagnosis of a genetic cause, thanks to national recruitment and for whom the patients consent to continuing genetic analyses for research purposes without feedback. * Diagnosis of cerebral amyloid angiopathy (CAA) certain or probable according to the modified Boston diagnostic criteria (1) (except age) * Age of onset of symptoms \<66 years * Absence of APP mutation/duplication (analysis must already have been carried out in the laboratory on receipt of the sample as part of routine care) * Signed consent for research * Patient covered by a social security scheme

Exclusion criteria

* Age at first neurological symptom \> 66 years * Minor patients * Other differential diagnosis that better explains the clinical situation * Identification of mutations or duplication of the APP gene * AAC possible but not probable according to the revised Boston criteria * Patient deprived of liberty by judicial or administrative decision

Design outcomes

Primary

MeasureTime frameDescription
patients with rare variants of ATP8B41 dayDefine the proportion of patients with rare variants (%) of ATP8B4 in patients with early-onset cerebral amyloid angiopathy (CAA) (\<66 years) and patients with causal mutations in the PSEN1 and PSEN2 genes.
patients with APOE4 genetic risk factors1 dayDefine the proportion of patients with APOE4 genetic risk factors (%) in patients with early-onset cerebral amyloid angiopathy (CAA) (\<66 years) and patients with causal mutations in the PSEN1 and PSEN2 genes.
patients with rare variants of SORL11 dayDefine the proportion of patients with rare variants (%) of SORL1, in patients with early-onset cerebral amyloid angiopathy (CAA) (\<66 years) and patients with causal mutations in the PSEN1 and PSEN2 genes.
patients with rare variants of TREM21 dayDefine the proportion of patients with rare variants (%) of TREM2 in patients with early-onset cerebral amyloid angiopathy (CAA) (\<66 years) and patients with causal mutations in the PSEN1 and PSEN2 genes.
patients with rare variants of ABCA71 dayDefine the proportion of patients with rare variants (%) of ABCA7 in patients with early-onset cerebral amyloid angiopathy (CAA) (\<66 years) and patients with causal mutations in the PSEN1 and PSEN2 genes.
patients with rare variants of ABCA11 dayDefine the proportion of patients with rare variants (%) of ABCA1 in patients with early-onset cerebral amyloid angiopathy (CAA) (\<66 years) and patients with causal mutations in the PSEN1 and PSEN2 genes.

Secondary

MeasureTime frameDescription
Genotype/clinical phenotype correlations12 monthsEstablish genotype/clinical phenotype correlations concerning the age of onset, the severity of the disease and the risk of recurrence of haematomas (identified during follow-up visits at M6 and M12 as part of routine care).
Biological characterisation of AACs (Aβ42,CSF biomarkers)12 months\- assessment of the diagnostic value of assays for Aβ42 biomarkers currently validated in Alzheimer's disease and related neurocognitive disorders
Biological characterisation of AACs (Aβ40, CSF biomarkers)12 months\- assessment of the diagnostic value of assays for Aβ40, CSF biomarkers currently validated in Alzheimer's disease and related neurocognitive disorders
Imaging characterisation of AACs (topography of cerebral bleeds)12 months\- identification of biomarker profiles linked to the topography of cerebral bleeds
Imaging characterisation of AACs (typology of cerebral bleeds)12 months\- identification of biomarker profiles linked to the typology of cerebral bleeds
Imaging characterisation of AACs (distribution of cerebral bleeds)12 months\- identification of biomarker profiles linked to the distribution of cerebral bleeds

Countries

France

Contacts

Primary ContactDavid DM MALLET, Director
Secretariat.DRC@chu-rouen.fr+33 2 32 88 82 65
Backup ContactVincent VF FERRANTI, Arc
vincent.ferranti@chu-rouen.fr+33 2 32 88 82 65

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026