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BLAAC PD - Black and African Americans Connections to PD (NCT06719583)
BLAAC PD - Black and African Americans Connections to Parkinson's Disease (NCT06719583)
Status: Recruiting Type: Observational Sponsor: Michael J. Fox Foundation Enrollment: 500 participants Study Start: January 2024 Estimated Completion: December 2027
Overview
BLAAC PD (Black and African Americans Connections to Parkinson's Disease) is an observational study led by the Michael J. Fox Foundation addressing critical health disparities in Parkinson's disease research.[@health2024] This study focuses on understanding how Parkinson's disease affects Black and African American communities, with the goal of improving representation in PD research and addressing healthcare inequities.[@michael]
Background
...
BLAAC PD - Black and African Americans Connections to Parkinson's Disease (NCT06719583)
Status: Recruiting Type: Observational Sponsor: Michael J. Fox Foundation Enrollment: 500 participants Study Start: January 2024 Estimated Completion: December 2027
Overview
BLAAC PD (Black and African Americans Connections to Parkinson's Disease) is an observational study led by the Michael J. Fox Foundation addressing critical health disparities in Parkinson's disease research.[@health2024] This study focuses on understanding how Parkinson's disease affects Black and African American communities, with the goal of improving representation in PD research and addressing healthcare inequities.[@michael]
Background
Health Disparities in Parkinson's Disease
Historical underrepresentation of minority populations in PD research has created significant knowledge gaps:[@diverse2023]
- Limited data: Most PD studies are conducted in predominantly white cohorts
- Genetic diversity: Lack of representation limits understanding of genetic factors
- Clinical presentation: Possible differences in symptom presentation
- Treatment access: Disparities in diagnosis and treatment
The Need for BLAAC PD
This study addresses:
Study Design
| Parameter | Value |
|-----------|-------|
| Design | Cross-sectional and longitudinal observational |
| Focus | Health disparities in Black/African American PD patients |
| Arms | PD patients vs. healthy controls |
| Duration | 3-year enrollment and follow-up |
Inclusion Criteria
Exclusion Criteria
Study Objectives
Primary Objectives
Secondary Objectives
Data Collection
Clinical Assessments
- Motor function: MDS-UPDRS motor examination
- Non-motor symptoms: Cognition, mood, sleep, autonomic function
- Quality of life: PDQ-39, other patient-reported outcomes
- Medical history: Detailed symptom and treatment history
Biosamples
- Blood: DNA, plasma, serum
- CSF: Cerebrospinal fluid (subset)
- Saliva: For biomarker studies
Additional Data
- Genetics: Whole genome sequencing
- Imaging: MRI (subset)
- Environmental exposures: Lifestyle and occupational history
Scientific Impact
Importance of Diversity in PD Research
Understanding PD in diverse populations:
- Genetic insights: Different genetic backgrounds may reveal novel risk factors
- Clinical variation: May identify different phenotype presentations
- Treatment response: Understanding response differences
- Health disparities: Identifying and addressing healthcare inequities
Expected Outcomes
- Representative cohort: First large-scale Black/African American PD cohort
- Genetic data: Population-specific genetic variants
- Clinical phenotyping: Characterize PD presentation in this population
- Future trials: Infrastructure for future clinical trial inclusion
Michael J. Fox Foundation for Parkinson's Disease Research
The Michael J. Fox Foundation (MJFF) is the world's leading nonprofit funder of Parkinson's disease research, having invested over $1.5 billion since its founding in 2000. The foundation's mission is to find a cure for Parkinson's disease through funded research and clinical trial infrastructure development.
Foundation Programs
Fox Insight: MJFF's flagship patient registry program that collects self-reported data from individuals with Parkinson's disease and healthy controls. This massive longitudinal dataset provides valuable phenotypic information for research.
Clinical Trial Readiness Programs: The foundation has established networks of clinical trial sites prepared to conduct PD research, reducing startup time for new studies.
The Parkinson's Progression Markers Initiative (PPMI): A landmark biomarker study that has enrolled over 1,500 participants including individuals with PD, at-risk carriers of PD genes, and healthy controls.
MJFF Research Priorities
Foundation Impact on Clinical Trials
The Michael J. Fox Foundation has been instrumental in advancing PD clinical trials:
- De-risking research: Providing funding for early-stage projects that might not otherwise receive support
- Patient engagement: Building a community of engaged research participants through Fox Insight
- Data sharing: Creating open-access datasets that accelerate research
- Regulatory engagement: Working with FDA to advance drug development endpoints
Study Design Details
Cross-Sectional Assessment Protocol
The cross-sectional component establishes baseline characteristics:
Longitudinal Follow-Up Protocol
Participants are followed over the 3-year study period:
- Month 6: Brief telephone assessment
- Year 1: In-person comprehensive assessment
- Year 2: In-person comprehensive assessment
- Year 3: In-person comprehensive assessment and study completion
Biosample Processing and Storage
All collected biosamples follow standardized protocols:
Blood Processing:
- Whole blood collected in EDTA tubes for plasma separation
- Whole blood collected in PAXgene tubes for RNA isolation
- Serum separator tubes for biomarker studies
- Processing within 2 hours of collection
- Aliquoted and stored at -80°C
- Lumbar puncture performed by trained neurologists
- Collection in polypropylene tubes
- Centrifugation within 1 hour
- Stored in 0.5 mL aliquots at -80°C
- Dedicated for biomarker analysis
- Standard salting-out method or automated extraction
- Whole genome sequencing for all participants
- Quality control metrics for sample integrity
- Population stratification analysis
Statistical Considerations
Power Analysis:
- Target enrollment of 500 provides 80% power to detect effect sizes of 0.25 with α=0.05
- Allows for subgroup analyses by genetic status
- Provides adequate sample for novel variant discovery
- Descriptive statistics for all demographic and clinical variables
- Comparison of PD phenotypes with published white cohort data
- Genetic variant frequency estimation
Clinical Phenotyping Details
Motor Assessment Battery
The motor examination follows MDS-UPDRS Part III standardized protocol:
Assessment Components:
Assessment Conditions:
- OFF medication assessment (withdrawal ≥12 hours)
- ON medication assessment (1-2 hours after usual medication)
- Video recording for central reading (subset)
Non-Motor Assessment Battery
Cognitive Assessment:
- Montreal Cognitive Assessment (MoCA)
- Trail Making Test A and B
- Digit Span Forward and Backward
- Word List Learning and Recall
- Beck Depression Inventory (BDI-II)
- State-Trait Anxiety Inventory (STAI)
- Parkinson's Disease Questionnaire (PDQ-39) - emotional well-being subdomain
- Apathy Evaluation Scale
- Parkinson's Disease Sleep Scale (PDSS-2)
- Epworth Sleepiness Scale (ESS)
- REM Sleep Behavior Disorder Screening Questionnaire (RBDSQ)
- Orthostatic blood pressure measurements
- urinary symptom questionnaire
- gastrointestinal symptom inventory
Quality of Life Measures
PDQ-39:
- 39 items across 8 domains
- Mobility, activities of daily living, emotional well-being, stigma, social support, communication, bodily discomfort, cognition
- Standardized to 0-100 scale
- Generic health status measure
- Physical and mental component scores
- Allows comparison with general population
Genetic Analysis Plan
Whole Genome Sequencing Protocol
Sequencing Parameters:
- 30x coverage minimum
- Illumina NovaSeq or equivalent platform
- Alignment to GRCh38 reference
- Variant calling following GATK best practices
- Sample-level: call rate >98%, contamination <3%
- Variant-level: genotype quality score >30, read depth >10
- Population outliers identified via PCA
Variant Annotation and Interpretation
Computational Tools:
- ANNOVAR for functional annotation
- SIFT and PolyPhen for pathogenicity prediction
- CADD for variant deleteriousness scoring
- ClinVar database for known pathogenic variants
- Pathogenic, Likely Pathogenic, Variant of Uncertain Significance (VUS), Likely Benign, Benign
- Following ACMG guidelines
Gene-Specific Analysis
PD-Associated Genes:
- LRRK2: G2019S, R1441C/H/G, N1437H, Y1699C
- GBA: N409S, L444P, E326K, T369M
- SNCA: A53T, A30P, duplications
- PARK2 (parkin), PARK7 (DJ-1), PINK1, ATP13A2
- VPS35: D620N
- DNAJC13, RAB39B, SYNJ1
- Polygenic risk score calculation
- Novel gene discovery in familial cases
- Founder mutation identification
Health Equity and Research Design
Historical Context
Underrepresentation in PD Research:
- Prior to 2020, less than 5% of PD clinical trial participants were from minority populations
- Genetic studies heavily biased toward European ancestry
- Clinical phenotypic data primarily from white cohorts
- Healthcare access disparities affect diagnosis and treatment
Barriers to Participation
Identified Barriers:
Study Solutions
BLAAC PD Addressing Barriers:
- Site selection in areas with significant Black populations
- Community-based recruitment through churches and community organizations
- Flexible scheduling including evening and weekend appointments
- Reimbursement for travel and time
- Culturally sensitive study staff and materials
- Partnerships with Black neurologists and healthcare providers
Community Engagement
Stakeholder Engagement:
- Advisory board including Black PD patients and caregivers
- Community advisory councils in each study region
- Focus groups to inform study design and recruitment strategies
- Patient navigation support throughout study participation
Scientific Impact and Future Directions
Anticipated Scientific Contributions
1. Genetic Data:
- First large-scale whole genome sequencing dataset from Black PD patients
- Novel variant discovery in known PD genes
- Population-specific risk allele identification
- Refinement of polygenic risk scores for this population
- Comprehensive characterization of PD symptoms in Black patients
- Comparison with white cohorts to identify similarities and differences
- Identification of potential phenotype modifiers by ancestry
- Natural history data specific to this population
- Diagnostic delay patterns
- Treatment utilization patterns
- Barriers to specialist care
- Healthcare outcomes in under-resourced settings
Building Research Infrastructure
Long-term Impact:
- Establish network for future clinical trial inclusion
- Train researchers in culturally competent approaches
- Create repository of biosamples for future studies
- Develop model for inclusion of other underrepresented populations
Future Clinical Trial Applications
Trial Design Implications:
- Understand potential treatment response differences
- Develop ancestry-appropriate outcome measures
- Ensure generalizability of therapeutic benefits
- Reduce health disparities in PD care
Related Pages
- [Parkinson's Disease](/diseases/parkinsons-disease)
- [Parkinson's Disease Genetics](/genetics/parkinsons-genetics)
- [LRRK2 Gene and Parkinson's Disease](/genes/lrrk2)
- [GBA Gene and Parkinson's Disease](/genes/gba)
- [Health Disparities in Neurodegeneration](/mechanisms/health-disparities-neurodegeneration)
- [PD Epidemiology](/epidemiology/parkinson-epidemiology)
- [Michael J. Fox Foundation](/organizations/michael-j-fox-foundation)
- [Clinical Trials in Parkinson's Disease](/clinical-trials/pd-trials-overview)
- [Fox Insight Registry](/organizations/fox-insight)
See Also
- [Alzheimer's Disease](/diseases/alzheimers-disease)
- [Parkinson's Disease](/diseases/parkinsons-disease)
External Links
- [PubMed](https://pubmed.ncbi.nlm.nih.gov/)
- [KEGG Pathways](https://www.genome.jp/kegg/pathway.html)
References
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