A Pilot Project to Validate Digital Bio-markers as a Tool to Measure Improvement in Core Symptoms of Autism During Sulforaphane Treatment.
试验速览
- 阶段
- 不适用
- 状态
- Enrolling By Invitation
- 入组人数
- 10
- 试验地点
- 2
- 主要终点
- EEG
研究概览
简要总结
The purpose of the research is to determine if changes seen during sulforaphane treatment (a compound that comes from eating certain vegetables) can better be understood using digital biomarkers. These digital biomarkers are things like heart rate, muscle movement etc. and are measured using non-invasive devices (like a watch) and are aimed at complementing the traditional clinical scores already in use in current trials (e.g. Aberrant Behavior Checklist (ABC), Social Responsiveness Scale (SRS) and Ohio Autism Clinical Impressions Scale (OACIS)).
详细描述
This study is a pilot open label treatment trial with SF (sulforaphane) in 10 individuals that have completed with moderate to severe autism, age 13-30 years that have completed participation in ClinicalTrials.gov Identifier: NCT02677051. This study will measure digital biomarkers of the nervous systems. Digital biomarkers are obtained by using non-invasive wireless (wearable, like wearing a watch) biosensors that co-register in tandem multiple biorhythms self-generated by the person's nervous systems. These sensors gather a very large amount of data from measures such as EEG (electroencephalogram), EKG (electrocardiogram), kinematics and others. These measures are done at the same time as the clinical evaluations and so results can be compared. Because the data are based on the unique fingerprint-like signatures of the person's nervous systems, it is possible to ascertain the person's progression in response to treatment and compare it to baseline states. The project will also compare these self-emerging clusters between subjects, possibly identifying patterns that correlate with sub-phenotypes or with similarities in response to treatment. Changes in things such as natural behaviors, an individual's ability or desire to interact socially and ability or desire to communicate will alter the signature profiles from baseline. Since these changes are dynamic in nature, trends of the evolving patterns and separate changes that are a consequence of the treatment vs. changes that are part of the natural neurodevelopment can be detected. This may be a valuable tool in future studies of underlying etiology. The technology used to perform these measures and the software to analyze the data are evolving rapidly. Last, with the characterized signatures and possibly overlapping patterns generated in this and in other projects it is foreseeable that a clinically relevant tool for measures in autism will follow.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Treatment
- 盲法
- None
入排标准
- 年龄范围
- 13 Years 至 30 Years（Child, Adult）
- 性别
- Male
- 接受健康志愿者
- 否
入选标准
- •Autistic disorder diagnosis.
- •Age between 13-30 years.
- •Male gender.
- •Participated in clinical trial NCT02677051
排除标准
- •Those that started or continued taking Avmacol® or similar broccoli extracts since leaving our double-blind study.
- •Absence of a parent or legal guardian and consent,
- •Those that can not or will not complete all visits and adherence to study regimen.
- •Seizure within 2 years of screening,
- •History of chronic kidney, liver or thyroid disease.
- •Impaired renal function (serum creatinine> 1.2 mg/dl).
- •Impaired hepatic function (> 2x upper limit of normal).
- •Impaired thyroid function (TSH outside normal limits).
- •Current infection or treatment with antibiotics.
- •Chronic medical disorder (e.g., cardiovascular disease, stroke or diabetes) or major surgery within 3 months prior to enrollment.
- •Less than 13 years or more than 30 years of age.
- •Female gender.
- •A diagnosis of autism spectrum disorder other than autistic disorder, for example, Asperger, PDD-NOS ( Pervasive Developmental Disorder-Not Otherwise Specified) etc.
结局指标
主要结局
EEG
时间窗: Week 16.
Electroencephalogram (EEG) measures electrical activity of the brain.
EKG
时间窗: Week 16.
Electrocardiogram (ECG or EKG) measures electrical signals from the heart.
Ohio Autism Clinical Global Impression Scale - Severity (OACIS-S, an autism specific version of the Clinical Global Impression, CGI)
时间窗: Week 16.
Rating scale to measure autism severity and changes in severity.
Digital Biomarkers
时间窗: Week 16.
Non-invasive biosensor measurements of micro-movements.
Electrophysiological recordings.
时间窗: Week 16.
Measurement of electrical activity in Tissue.
Aberrant Behavior Checklist (ABC)
时间窗: Week 16.
Rating scale to measure severity aberrant behaviors
Social Responsiveness Scale (SRS)
时间窗: Week 16.
Rating scale to measure social interaction.
次要结局
未报告次要终点
研究者
Elizabeth B. Torres Ph.D.
Associate Professor of Psychology
Rutgers, The State University of New Jersey