Summary Background Huntington’s disease (HD) is an autosomal dominant, fully penetrant, neurodegenerative disease that most commonly affects adults in mid-life. Our aim was to identify sensitive and reliable biomarkers in premanifest carriers of mutated HTT and in individuals with early HD that could provide essential methodology for the assessment of therapeutic interventions. Methods This multicentre study uses an extensive battery of novel assessments, including multi-site 3T MRI, clinical, cognitive, quantitative motor, oculomotor, and neuropsychiatric measures. Blinded analyses were done on the baseline cross-sectional data from 366 individuals: 123 controls, 120 premanifest (pre-HD) individuals, and 123 patients with early HD. Findings The first participant was enrolled in January, 2008, and all assessments were completed by August, 2008. Cross-sectional analyses identified significant changes in whole-brain volume, regional grey and white matter differences, impairment in a range of voluntary neurophysiological motor, and oculomotor tasks, and cognitive and neuropsychiatric dysfunction in premanifest HD gene carriers with normal motor scores through to early clinical stage 2 disease. Interpretation We show the feasibility of rapid data acquisition and the use of multi-site 3T MRI and neurophysiological motor measures in a large multicentre study. Our results provide evidence for quantifiable biological and clinical alterations in HTT expansion carriers compared with age-matched controls. Many parameters differ from age-matched controls in a graded fashion and show changes of increasing magnitude across our cohort, who range from about 16 years from predicted disease diagnosis to early HD. These findings might help to define novel quantifiable endpoints and methods for rapid and reliable data acquisition, which could aid the design of therapeutic trials. Funding CHDI/High Q Foundation.

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Huntington disease (HD) can be seen as a model neurodegenerative disorder, in that it is caused by a single genetic mutation and is amenable to predictive genetic testing, with estimation of years to predicted onset, enabling the entire range of disease natural history to be studied. Structural neuroimaging biomarkers show that progressive regional brain atrophy begins many years before the emergence of diagnosable signs and symptoms of HD, and continues steadily during the symptomatic or 'manifest' period. The continued development of functional, neurochemical and other biomarkers raises hopes that these biomarkers might be useful for future trials of disease-modifying therapeutics to delay the onset and slow the progression of HD. Such advances could herald a new era of personalized preventive therapeutics. We describe the natural history of HD, including the timing of emergence of motor, cognitive and emotional impairments, and the techniques that are used to assess these features. Building on this information, we review recent progress in the development of biomarkers for HD, and potential future roles of these biomarkers in clinical trials.

Objective:The objective of the Predict-HD study is to use genetic, neurobiological and refined clinical markers to understand the early progression of Huntington’s disease (HD), prior to the point of traditional diagnosis, in persons with a known gene mutation. Here we estimate the approximate onset and initial course of various measurable aspects of HD relative to the time of eventual diagnosis.Methods:We studied 438 participants who were positive for the HD gene mutation, but did not yet meet the diagnostic criteria for HD and had no functional decline. Predictability of baseline cognitive, motor, psychiatric and imaging measures was modelled non-linearly using estimated time until diagnosis (based on CAG repeat length and current age) as the predictor.Results:Estimated time to diagnosis was related to most clinical and neuroimaging markers. The patterns of association suggested the commencement of detectable changes one to two decades prior to the predicted time of clinical diagnosis. The patterns were highly robust and consistent, despite the varied types of markers and diverse measurement methodologies.Conclusions:These findings from the Predict-HD study suggest the approximate time scale of measurable disease development, and suggest candidate disease markers for use in preventive HD trials.

Huntington's disease (HD) is a neurodegenerative disorder caused by an unstable CAG repeat. For patients at risk, participating in predictive testing and learning of having CAG expansion, a major unanswered question shifts from "Will I get HD?" to "When will it manifest?" Using the largest cohort of HD patients analyzed to date (2913 individuals from 40 centers worldwide), we developed a parametric survival model based on CAG repeat length to predict the probability of neurological disease onset (based on motor neurological symptoms rather than psychiatric onset) at different ages for individual patients. We provide estimated probabilities of onset associated with CAG repeats between 36 and 56 for individuals of any age with narrow confidence intervals. For example, our model predicts a 91% chance that a 40-year-old individual with 42 repeats will have onset by the age of 65, with a 95% confidence interval from 90 to 93%. This model also defines the variability in HD onset that is not attributable to CAG length and provides information concerning CAG-related penetrance rates.

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Objective-PREDICT-HD is a large-scale international study of people with the Huntington Disease CAG-repeat expansion who are not yet diagnosed with HD. The objective of this study was to determine at what stage in the HD prodrome cognitive differences from CAG-normal controls can be reliably detected.Method-For each of 738 HD CAG-expanded participants, we computed estimated years to clinical diagnosis and probability of diagnosis in five years, based on age and CAG repeat expansion number (Langbehn, Brinkman, Falush, Paulsen, & Hayden, 2004). We then stratified the sample into groups: "NEAR," estimated to be ≤ 9 years, "MID," between 9 and 15 years, and "FAR," ≥ 15 years. The control sample included 168 CAG-normal participants. Nineteen cognitive tasks were used to assess attention, working memory, psychomotor functions, episodic memory, language, recognition of facial emotion, sensory-perceptual functions, and executive functions.Results-Compared to the controls, the NEAR group showed significantly poorer performance on nearly all, and the MID group on about half of the cognitive tests (p = 0.05, Cohen's d Near as large as −1.17, Mid as large as −0.61). One test even revealed significantly poorer performance in the FAR group (Cohen's d = −0.26). Individual tasks accounted for 0.2% to 9.7% of the variance in estimated proximity to diagnosis. Overall, the cognitive battery accounted for 34% of the variance; in comparison, the UHDRS Motor Score accounted for 11.7%. Conclusions-Neurocognitive tests are robust clinical indicators of the disease process prior to reaching criteria for motor diagnosis of HD.Keywords cognitive assessment; presymptomatic; neuropsychology; psychomotor; prediagnosis Huntington disease (HD) is a progressive, fatal, autosomal dominant neurodegenerative disease that primarily affects movement, cognition, and psychiatric functions. Diagnosis of HD is based on the presence of unequivocal motor signs of HD, in conjunction with a positive genetic test for the HD CAG expansion or a confirmed family history of HD. Most people with the HD gene appear healthy throughout their youth and early adulthood, and then gradually develop signs and symptoms of HD, often leading to a diagnosis in middle age. The age of diagnosis varies in accordance with the number of CAG repeats on the expanded allele, although there is also substantial individual variability not accounted for by this genetic factor (Andrew et al., 1993;Gusella, MacDonald, Ambrose, & Duyao, 1993). A growing community of researchers is directing efforts at finding treatments to delay onset or slow the progression of early pathological changes in an attempt to reduce the tremendous personal and social costs of HD. Finding effective therapeutic or preventive treatments for HD depends critically on the ability to reliably and sensitively measure clinical signs of disease.Cognitive measures have excellent potential both for identifying individuals beginning to show subtle signs prior to the diagnosis of HD who might be suitable for clinical trials,...