Study of Biomarkers That Predict the Evolution of Huntington's Disease
NCT ID: NCT01412125
Last Updated: 2014-10-09
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
1800 participants
OBSERVATIONAL
2003-09-30
2021-01-31
Brief Summary
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The striatum (caudate and putamen) is the primary area of neuronal degeneration in HD. Today, there is no validated curative treatment. HD affects approximately 6 000 patients in France and more than 30 000 individuals are considered at risk for this disease.
While the disease gene is discovered and we are capable to do a predictive genetic diagnosis for asymptomatic patients, there is no clinical or biological way to predict the age of onset or the progressive profile of patients.
One of the fundamental characteristics of this disease is its extreme variability from one patient to other both in terms of their evolution and their onset of action. Thus, this inter-individual variability severely limits the genetic counselling and complicating the neurological assessment.
Increasingly, it has been assumed that modifier genes may be the source of this inter-individual variability and that their identification could help the understanding and prediction of disease progression.
Given that the mutant protein is ubiquitous, the molecular dysfunction of neurons could be found in peripheral cells from the bloodstream and will be more accessible to investigation.
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Detailed Description
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The project is centered on 2 axes:
1. identification of the genetic polymorphism which may explain the phenotypic variability seeing in Huntington's disease
2. identification of biological, genetic and imaging biomarkers that could be used as predictors of clinical progression of Huntington's disease This research is based on the existence of a well followed and well characterized cohort of patients through the Francophone Huntington Network ("RESEAU HUNTINGTON de LANGUE FRANCAISE", RHLF). Therefore, this will help to combine the clinical and biological expertise of RHLF.
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Patient
Voluntary Huntington patients symptomatic or asymptomatic, with a number of nucleotide expansion(CAG) ≥36 and who know their genetic status
Huntington patient evaluation
Neurological, neuropsychological, neuroimaging evaluation and biological sample
Healthy subject
Voluntary controls with no family history of huntington's disease
Healthy subject evaluation
Neurological, neuropsychological, neuroimaging evaluation and biological sample
Interventions
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Huntington patient evaluation
Neurological, neuropsychological, neuroimaging evaluation and biological sample
Healthy subject evaluation
Neurological, neuropsychological, neuroimaging evaluation and biological sample
Eligibility Criteria
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Inclusion Criteria
* Patient with a number of CAG ≥36)
* Patient who know his genetic status
* Age greater than 18 years or equal to 18 years
* Patient who provided written informed consent
* Voluntary controls with no family history of huntington's disease
* Control with a number of CAG \<36
* Age greater than 18 years or equal to 18 years
* Control who provided written informed consent
Exclusion Criteria
\- Deterioration of the protocol preventing the understanding of the protocol
18 Years
ALL
Yes
Sponsors
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Assistance Publique - Hôpitaux de Paris
OTHER
Responsible Party
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Principal Investigators
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Bachoud-Lévi Anne-Catherine, PH
Role: PRINCIPAL_INVESTIGATOR
Assistance Publique - Hôpitaux de Paris
Locations
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Hôpital Henri Mondor
Créteil, , France
Countries
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Central Contacts
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Facility Contacts
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References
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Chenain L, Riad R, Fraisse N, Jubin C, Morgado G, Youssov K, Lunven M, Bachoud-Levi AC. Graph methods to infer spatial disturbances: Application to Huntington's Disease's speech. Cortex. 2024 Jul;176:144-160. doi: 10.1016/j.cortex.2024.04.014. Epub 2024 May 17.
Other Identifiers
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P090302
Identifier Type: -
Identifier Source: org_study_id
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