Data Analytics from Enroll-HD, a Global Clinical Research Platform for Huntington's Disease

Area of Science:

• Neuroscience and Genetics
• Clinical Research Methodology
• Neurodegenerative Disease Studies

Background:

• Complex neurodegenerative diseases necessitate large-scale, multimodal research approaches.
• Enroll-HD is an integrated clinical research platform designed for Huntington's disease (HD).
• This study describes the organization of Enroll-HD and presents baseline data.

Purpose of the Study:

• To describe the unique organization of the Enroll-HD platform.
• To report baseline data analyses from the Enroll-HD core study.
• To establish a foundation for future longitudinal and regional data collection.

Main Methods:

• Utilized electronic data capture and biosampling across four continents.
• Included HD gene expansion carriers (HDGECs) and control groups (genotype-negative relatives, unrelated family controls).
• Employed 10 core clinical assessments covering motor, cognitive, and behavioral domains.

Main Results:

• Data from 1,534 participants (1,071 HDGECs, 463 controls) were analyzed.
• Significant differences observed in motor and behavioral assessments across manifest HD, premanifest HD, and controls.
• Large cognitive differences were noted between manifest HD participants and all other groups.

Conclusions:

• The Enroll-HD platform demonstrates maturity in collecting high-quality, clinically relevant data.
• Baseline data highlight the platform's potential for advancing HD research.
• Future data sets are expected to be larger as the platform expands globally.