The investigators plan to fill the gap between the current state of clinical trial readiness and the optimal one for SCA1 and SCA3, which are fatal rare diseases with no treatments. Through US-European collaborations, the investigators will establish the world's largest cohorts of subjects at the earliest disease stages, who will benefit most from treatments, validate an ability to detect disease onset and early progression by imaging markers, even prior to ataxia onset, and identify clinical trial designs that will generate the most conclusive results on treatment efficacy with small populations of patients.
Spinocerebellar ataxia types 1 (SCA1) and 3 (SCA3) are rare, inherited neurodegenerative disorders that relentlessly progress to total disability and death. SCA1 is the fastest progressing SCA while SCA3 is the most common SCA in US and Europe. Expanded (CAG)n repeats encoding polyglutamines (polyQ) in the respective genes, Ataxin 1 (ATXN1) and Ataxin 3 (ATXN3), cause SCA1 and SCA3. Disease-modifying therapies that target the pathway upstream of the complex pathogenic cascade will offer ultimate treatment. Scientific premise and preclinical animal data strongly support MSK1 inhibitors for SCA1, citalopram for SCA3, and nucleotide-based gene silencing for both SCAs as drugs to be examined in clinical trials in five years. However, the challenge that investigators face in current clinical trial readiness for such disease-modifying therapies is that the modest effect size of candidate drugs as measured by the Scale for the Assessment and Rating of Ataxia (SARA; the most robust and well-validated clinical outcome assessment measure) requires large cohorts of study subjects to achieve sufficient statistical power. To accomplish the goal of establishing clinical trial readiness, the investigators propose to launch an international, multi-site effort focusing on premanifest mutation carriers and patients in an early disease stage, who are likely responders to the disease-modifying interventions prior to irreversible brain damage. Based on the investigators' studies funded by NIH and the National Ataxia Foundation (NAF), the US ataxia consortium has developed an unprecedented opportunity for tight collaborations with the European Ataxia Study Group to jointly address this challenge and establish clinical trial readiness for SCA1 and SCA3. To achieve this goal, the investigators propose the following specific aims: Aim 1. Establish the world's largest cohorts of premanifest/early SCA1 and SCA3 by combining cohorts, clinical outcome assessment data and biofluid samples (blood, cerebrospinal fluid) from US and Europe Aim 2. Validate MR morphological, biochemical and functional biomarkers in premanifest and early SCA1 and SCA3 Aim 3. Adapt recent developments on statistical design and analysis of small population trials to SCAs.
Study Type
OBSERVATIONAL
Enrollment
200
Houston Methodist Hospital
Houston, Texas, United States
Change in disease progression in SCA1 and SCA3 as determined by change in scale for the assessment and rating of ataxia (SARA) score over time.
Scale for the assessment and rating of ataxia (SARA) was evaluated in two large validation trials performed by the EUROSCA clinical group and was found to be easy to use, reliable and valid. SARA has eight categories with accumulative score ranging from 0 (no ataxia) to 40 (most severe ataxia).
Time frame: Every 12 months for approximately 60 months
Change in disease progression in SCA1 and SCA3 as determined by change in Composite Cerebellar Functional Severity Score (CCFS) total score over time.
Composite Cerebellar Functional Severity Score (CCFS) is a validated quantitative scale used to evaluate cerebellar ataxia in adults and children. Total score calculation includes both the 9-hole pegboard test and the click test. A higher score indicates more severe cerebellar impairment.
Time frame: Every 12 months for approximately 60 months
Change in disease progression in SCA1 and SCA3 as determined by change in timed 25 foot walk test (T25FW) over time.
Timed 25 foot walk test (T25FW) is a quantitative mobility and leg function performance test based on a timed 25-walk. The T25FW has high inter-rater and test-retest reliability and shows evidence of good concurrent validity. Gait speed in general has been demonstrated to be a useful and reliable functional measure of walking ability.
Time frame: Every 12 months for approximately 60 months
Change in disease progression in SCA1 and SCA3 as determined by change in Cerebellar Cognitive Affective Syndrome (CCAS) score over time.
Cerebellar Cognitive Affective Syndrome Scale (CCAS Scale) is a battery of cognitive tasks used for determining the role of the cerebellum in the regulation of cognitive functions and present the procedure of neuropsychological diagnosis useful in indicating the specific cognitive and emotional problems in patients with cerebellar damage.
Time frame: Every 12 months for approximately 60 months
Change in disease progression in SCA1 and SCA3 as determined by change in Inventory of Non-ataxia Symptoms (INAS) total count over time.
Inventory of Non-ataxia Symptoms (INAS) is a scale utilized in recording the occurrence of accompanying non-ataxia symptoms. In the SARA validation trials, INAS was applied to a large number of SCA patients. Statistical evaluation showed good reliability.
Time frame: Every 12 months for approximately 60 months
Change in disease progression in SCA1 and SCA3 as determined by change in Functional staging score over time.
Functional staging is an instrument used to assess ambulatory capabilities of patients with cerebellar symptoms.
Time frame: Every 12 months for approximately 60 months
Change in level of disease activity based on change in cerebellar and brainstem volumes since baseline imaging. (Aim 2)
Change in level of disease activity based on change in cerebellar and brainstem volumes since baseline imaging.
Time frame: Every 12 months for approximately 36 months
Change in level of disease activity based on grey matter (GM) and white matter (WM) loss metrics from voxel-based morphometric (VBM) since baseline imaging. (Aim 2)
Change in level of disease activity as defined by change in grey matter volume and white matter volume from voxel-based morphometric data since baseline imaging.
Time frame: Every 12 months for approximately 36 months
Change in level of disease activity based on change in metabolite concentrations since baseline imaging. (Aim 2)
Change in level of disease activity on MR morphological, biochemical (MRS) and functional (resting-state fMRI) as defined by change in metabolite concentrations since baseline imaging.
Time frame: Every 12 months for approximately 36 months
Change in level of disease activity based on change in fractional isotropy since baseline imaging. (Aim 2)
Change in level of disease activity on MR morphological, biochemical (MRS) and functional (resting-state fMRI) as defined by change in mean diffusivity since baseline imaging.
Time frame: Every 12 months for approximately 36 months
Change in level of disease activity based on change in mean diffusivity since baseline imaging. (Aim 2)
Change in level of disease activity on MR morphological, biochemical (MRS) and functional (resting-state fMRI) as defined by change in mean diffusivity since baseline imaging.
Time frame: Every 12 months for approximately 36 months
Change in level of disease activity based on change in radial and axial diffusivity since baseline imaging. (Aim 2)
Change in level of disease activity on MR morphological, biochemical (MRS) and functional (resting-state fMRI) as defined by change in radial and axial diffusivity since baseline imaging.
Time frame: Every 12 months for approximately 36 months
Change in level of disease activity based on change in degree of co-activation within resting state networks since baseline imaging. (Aim 2)
Change in level of disease activity on MR morphological, biochemical (MRS) and functional (resting-state fMRI) as defined by change in degree of co-activation within resting state network since baseline imaging.
Time frame: Every 12 months for approximately 36 months
Change in disease progression in SCA1 and SCA3 as determined by change in Friedreich's Ataxia Activities of Daily Living (FAA-ADL) over time.
Friedreich's Ataxia Activities of Daily Living (FAA-ADL) is an instrument measuring patient reported activities of daily living such as speech, dressing, walking, etc. Activities of daily living can be scored from 0-4, with zero being normal and 4 being most severe.
Time frame: Every 12 months for approximately 60 months
Change in disease progression in SCA1 and SCA3 as determined by change in Fatigue Severity Scale (FSS) over time.
Fatigue Severity Scale (FSS) is a 9 item scale which measures the severity of fatigue and its effect on a person's activities and lifestyle in patients with a variety of disorders. Scale ranges from 1-7, where 1 indicates strongly disagree and 7 indicates strongly agree.
Time frame: Every 12 months for approximately 60 months
Change in disease progression in SCA1 and SCA3 as determined by change in Euro Qol-5D (EQ-5D) over time.
Euro Qol-5D (EQ-5D), a measure developed by the EuroQol Group that generates a single index value for health status with considerable potential for use in health care evaluation.
Time frame: Every 12 months for approximately 60 months
Change in disease progression in SCA1 and SCA3 as determined by change in Patient Health Questionnaire (PHQ-9) over time.
Patient Health Questionnaire (PHQ-9) is a 9-question instrument used to screen for depression. The total of all 9 responses from the PHQ-9 aims to predict the presence and severity of depression.
Time frame: Every 12 months for approximately 60 months
Change in disease progression in SCA1 and SCA3 as determined by change in Patient Global Impression (PGI) over time.
Patient Global Impression (PGI) is patient reported measure of change in disease status, walking, hand function and speech since last visit or in the last 6 months. Changes can be reported as worse, stable/same, or improved/better.
Time frame: Every 12 months for approximately 60 months
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Change in survival at 60 months between and within cohorts
To compare survival of patients between and within cohorts at 60 months
Time frame: Baseline to 60 months