The hunt for better treatments for Huntington's disease.

Huntington’s Disease (HD) is an autosomal dominant condition that typically presents in midlife with a combination of motor, cognitive and psychiatric problems along with sleep and metabolic abnormalities. It runs a clinical course over 15-20 years leading to death as patients become demented and bed bound. There are currently no proven disease modifying therapies for HD. While the recent work with anti-sense therapies (ASO) against huntingtin has generated much excitement they are yet to demonstrate a measurable change in disease progression. Furthermore, given they promise to “modify” and not “cure” HD patients we will still require adjunct symptomatic treatments, potentially for longer periods of time. Symptomatic therapies for HD do exist and are widely used for treating the chorea and some of the psychiatric aspects of the condition although the extent to which they work is variable1 and many experience significant side effects with them. Therefore, there is still a need to develop better symptomatic therapies, ideally with single drugs that can help treat more than one sign and symptom of this condition

Problems with Social Cognition and Decision-Making in Huntington's Disease: Why Is it Important?

Huntington's disease starts slowly and progresses over a 15-20 year period. Motor changes begin subtly, often going unnoticed by patients although they are typically visible to those close to them. At this point, it is the early non-motor problems of HD that arguably cause the most functional impairment. Approximately 65% of gene carriers will experience a reduction in their occupational level, and just under half will feel unable to manage their finances independently before a clinical diagnosis is made. Understanding what drives this impairment in activities of daily living is the key to helping people with HD to live more independently for longer, especially in early disease. Early cognitive decline is likely to play a contributory factor although few studies have looked directly at this relationship. Recently, it has been shown that along with the well documented dysexecutive syndrome seen in HD, changes in social cognition and decision-making are more common than previously thought. Furthermore, some of the early neuropathological and neurochemical changes seen in HD disrupt networks known to be involved in social functioning. In this review, we explore how HD changes the way individuals interact in a social world. Specifically, we summarise the literature on both classical and social decision-making (value-based decision-making in a social context) along with studies of theory of mind, empathy, alexithymia, and emotion recognition in HD. The literature specific to HD is discussed and supported by evidence from similar neurodegenerative disorders and healthy individuals to propose future directions and potential therapeutic avenues to be explored

The Clinical Features and Progression of Late-Onset Versus Younger-Onset in an Adult Cohort of Huntington's Disease Patients.

BACKGROUND: Huntington's disease (HD) is an autosomal dominant neurodegenerative disorder that typically manifests between the ages of 30 and 50 years. However, the disease can present at any age, and phenotypic differences between younger and later-onset patients have received limited attention. OBJECTIVE: To compare clinical features of late- (>70 years of age) and younger-onset (<30 years of age) HD patients. METHODS: Patients presenting to our regional NHS HD clinic with new-onset manifest HD diagnosed over the age of 70 years (LoHD) (n = 18) were compared with a younger cohort who developed disease under the age of 30 years (YoHD) (n = 12). Rate of progression over time on standard cognitive and motor measures was compared. RESULTS: At first clinic presentation, both groups had the same total UHDRS scores. However, the LoHD group had higher chorea scores (F (1,28) = 6.52, p = 0.016), while the YoHD group had more dystonia (F (1,28) = 8.69, p = 0.006) and eye movement abnormalities (F (1,28) = 16.991, p < 0.001). The YoHD group also had a greater rate of motor progression, especially for bulbar measures (F (1, 28) = 6.96, p = 0.013) and bradykinesia (F (1, 28) = 7.99, p = 0.009). No differences were found in the rate of cognitive change (F (1,21) = 1.727, p = 0.203) nor functional capacity (F (1,28) = 1.388, p = 0.249) between the groups. CONCLUSION: Phenotypic differences between YoHD and LoHD patients were found in terms of initial presentation and rate of motor progression. This has implications for therapeutic trials involving HD patients of different ages, given their different clinical features and progression.SLM is funded by the Huntington’s Disease Association. RAB is supported by the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre, 146281 (the views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care) and MRC/WT Stem Cell Institute 203151/Z/16/Z

Apathy in Huntington’s Disease: A Review of the Current Conceptualization

Apathy is one of the most common psychiatric symptoms experienced by patients with Huntington’s disease (HD). It appears early, progresses with the disease course and has been shown to contribute significantly to caregiver burden. However, what is understood by apathy in HD is not clearly defined nor the underlying mechanisms responsible for it. In this review, we discuss the concept of apathy in the context of HD and propose that a consensus regarding its conceptualisation and subsequently its diagnostic criteria would significantly benefit the field. In order to undertake this work, we began by reviewing the existing literature on the definition and assessment of apathy in HD, its underlying neurobiological basis and its relationship to other related features such as abulia, anhedonia and alexithymia. In the context of HD, apathy could be described by a loss of or diminished motivation, emotion and goal-directed behaviour that is not best explained by motor or social constraints of the disease. However, there is an urgent need to better understand the characteristics of apathy specifically in HD, how they evolve across the disease course, and how they relate to central dopaminergic pathways. Only by undertaking such work can we hope to better understand this early and disabling aspect of HD.This work was supported by the NIHR funded Cambridge BRC

Antidopaminergic treatment is associated with reduced chorea and irritability but impaired cognition in Huntington’s disease (Enroll-HD)

Objectives: Alterations in dopamine neurotransmission underlie some of the clinical features of Huntington’s disease (HD) and as such are a target for therapeutic intervention, especially for the treatment of chorea and some behavioural problems. However, justification for such an intervention is mainly based on case reports and small open label studies and the effects these drugs have on cognition in HD remain unclear. Methods: In this study, we used the Enroll-HD observational database to assess the effects of antidopaminergic medication on motor, psychiatric and cognitive decline, over a 3-year period. We first looked at the annual rate of decline of a group of HD patients taking antidopaminergic medication (n=466) compared with an untreated matched group (n=466). The groups were matched on specified clinical variables using propensity score matching. Next, we studied a separate group of HD patients who were prescribed such medications part way through the study (n=90) and compared their rate of change before and after the drugs were introduced and compared this to a matched control group. Results: We found that HD patients taking antidopaminergic medication had a slower progression in chorea and irritability compared with those not taking such medications. However, this same group of patients also displayed significantly greater rate of decline in a range of cognitive tasks. Conclusion: In conclusion we found that antidopaminergic treatment is associated with improvements in the choreic movements and irritability of HD but worsens cognition. However, further research is required to prospectively investigate this and whether these are causally linked, ideally in a double-blind placebo-controlled trial

Assessment of costs and insurance policies for referral treatment of equine colic

Colic is the most common emergency problem in horses. The aims of this study were to survey costs of different referral treatments and to review insurance policies relevant to horses with colic. Data were collected retrospectively from nine equine hospitals for case costs, categorised into four different outcomes: admitted and euthanased; euthanased during or immediately after surgery; medical treatment and survived more than 24 hours; and surgical treatment and survived more than 24 hours. Data from five UK equine insurance companies were extracted and analysed using a standardised case example. Costs were obtained for 108 cases. The mean cost for horses admitted and euthanased was £873.89 (range £459.72–£1471.51), and for surgical treatment and survival more than 24 hours was £6437.80 (range £3178.87–£9100.00). Insurance cover for veterinary fees ranged from £5000 to £7500, and monthly premium rates for a standardised case ranged from £27.06 to £47.06. The terms and conditions for the insurance policies ranged in length from 2098 to 17,701 words; Flesch Kincaid Reading Ease scores ranged from 21.6 to 57.7, indicating a high degree of complexity and low readability. This study highlights the complexity and challenges for decision-making in critical cases of colic

The immunogenicity of midbrain dopaminergic neurons and the implications for neural grafting trials in Parkinson's disease.

Dopaminergic (DA) cell replacement therapies are a promising experimental treatment for Parkinson's disease (PD) and a number of different types of DA cell-based therapies have already been trialled in patients. To date, the most successful have been allotransplants of foetal ventral midbrain but even then, the results have been inconsistent. This coupled to the ethical and logistical problems with using this tissue has meant that an alternative cell source has been sought of which human pluripotent stem cells (hPSCs) sources have proven very attractive. Robust protocols for making mesencephalic DA (mesDA) progenitor cells from hPSCs now exist and the first in-human clinical trials have or are about to start. However, while their safety and efficacy are well understood, relatively little is known about their immunogenicity and in this review, we briefly summarise this with reference mainly to the limited literature on human foetal DA cells

Visualising disease progression on multiple variables with vector plots and path plots.

BACKGROUND: It is often desirable to observe how a disease progresses over time in individual patients, rather than graphing group averages; and since multiple outcomes are typically recorded on each patient, it would be advantageous to visualise disease progression on multiple variables simultaneously. METHODS: A variety of vector plots and a path plot have been developed for this purpose, and data from a longitudinal Huntington's disease study are used to illustrate the utility of these graphical methods for exploratory data analysis. RESULTS: Initial and final values for three outcome variables can be easily visualised per patient, along with the change in these variables over time. In addition to the disease trajectory, the path individual patients take from initial to final observation can be traced. Categorical variables can be coded with different types of vectors or paths (e.g. different colours, line types, line thickness) and separate panels can be used to include further categorical or continuous variables, allowing clear visualisation of further information for each individual. In addition, summary statistics such as mean vectors, bivariate interquartile ranges and convex polygons can be included to assist in interpreting trajectories, comparing groups, and detecting multivariate outliers. CONCLUSION: Vector and path plots are useful graphical methods for exploratory data analysis when individual-level information on multiple variables over time is desired, and they have several advantages over plotting each variable separately.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

Expansion of Foxp3+ T-cell populations by Candida albicans enhances both Th17-cell responses and fungal dissemination after intravenous challenge

Research Funding Wellcome Trust, UK. Grant Numbers: 086827, 080088 NIH. Grant Number: DE022550Peer reviewedPublisher PD

Predicting clinical diagnosis in Huntington's disease: An imaging polymarker.

OBJECTIVE: Huntington's disease (HD) gene carriers can be identified before clinical diagnosis; however, statistical models for predicting when overt motor symptoms will manifest are too imprecise to be useful at the level of the individual. Perfecting this prediction is integral to the search for disease modifying therapies. This study aimed to identify an imaging marker capable of reliably predicting real-life clinical diagnosis in HD. METHOD: A multivariate machine learning approach was applied to resting-state and structural magnetic resonance imaging scans from 19 premanifest HD gene carriers (preHD, 8 of whom developed clinical disease in the 5 years postscanning) and 21 healthy controls. A classification model was developed using cross-group comparisons between preHD and controls, and within the preHD group in relation to "estimated" and "actual" proximity to disease onset. Imaging measures were modeled individually, and combined, and permutation modeling robustly tested classification accuracy. RESULTS: Classification performance for preHDs versus controls was greatest when all measures were combined. The resulting polymarker predicted converters with high accuracy, including those who were not expected to manifest in that time scale based on the currently adopted statistical models. INTERPRETATION: We propose that a holistic multivariate machine learning treatment of brain abnormalities in the premanifest phase can be used to accurately identify those patients within 5 years of developing motor features of HD, with implications for prognostication and preclinical trials. Ann Neurol 2018;83:532-543.SLM is funded by a National Institute for Health Research (NIHR) Translational Research Collaboration for Rare Diseases fellowship. This research has been funded/supported by the National Institute for Health Research Rare Diseases Translational Research Collaboration (NIHR RD-TRC). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health. RAB is funded by the NIHR Cambridge Biomedical Research Centre and the Cambridge University NHS Foundation Trust. RED is employed on an EC Marie-Curie CIG, awarded to AH, SJT, EJ and RS receive funding from a Wellcome Collaborative Award (200181/Z/15/Z