ZusammenfassungDie Huntington-Krankheit (HK) ist die häufigste monogenetische neurodegenerative Erkrankung und kann bereits im präklinischen Stadium zweifelsfrei diagnostiziert werden, zumindest in allen Fällen, bei denen die CAG-Expansionsmutation im Huntingtin-Gen (HTT) im Bereich der vollen Penetranz liegt. Wichtige Voraussetzungen für eine früh im Krankheitsprozess einsetzende und deshalb den weiteren Verlauf der Krankheit in klinisch relevanter Weise modifizierende Therapie sind damit gegeben und machen die HK zu einer Modellerkrankung für neuroprotektive Behandlungsansätze. In der Vergangenheit lag der Schwerpunkt auf dem Ausgleich vermuteter Neurotransmitterdefizite (GABA) analog zur Parkinson-Erkrankung und auf klassischen neuroprotektiven Strategien zur Beeinflussung hypothetischer gemeinsamer Endstrecken neurodegenerativer Erkrankungen (z. B. Exzitotoxizität, mitochondriale Dysfunktion, oxidativer Stress etc.). Mit der Entdeckung der krankheitsverursachenden HTT-Mutation im Jahr 1993 fokussierte sich die Therapieforschung zunehmend darauf, soweit proximal wie möglich in die pathophysiologische Ereigniskette einzugreifen. Ein wichtiger Ansatzpunkt ist hier die HTT-mRNA mit dem Ziel, die Nachproduktion mutierter Huntingtin-Genprodukte zu senken und damit den Körper von deren schädigenden Auswirkungen zu entlasten; zu diesem Zweck sind verschiedene Behandlungsmodalitäten (einzelsträngige DNA und RNA, divalente RNA und Zinkfinger-Repressorkomplexe, oral verfügbare Spleißmodulatoren) entwickelt worden, die sich in der klinischen Prüfung (Phase I–III) oder in späten Stadien der präklinischen Entwicklung befinden. Zudem zeichnet sich ab, dass es möglich sein könnte, die Länge der somatisch instabilen, d. h. über die Lebenszeit v. a. im Hirngewebe zunehmende CAG-Mutation selbst zu beeinflussen und die Progression der HK hierdurch zu bremsen.

Background: Huntington's disease (HD) is an autosomal dominant neurodegenerative disease that affects the quality of life (QoL) of HD gene expansion carriers (HDGECs) and their partners. Although HD expertise centers have been emerging across Europe, there are still some important barriers to care provision for those affected by this rare disease, including transportation costs, geographic distance of centers, and availability/accessibility of these services in general. eHealth seems promising in overcoming these barriers, yet research on eHealth in HD is limited and fails to use telehealth services specifically designed to fit the perspectives and expectations of HDGECs and their families. In the European HD-eHelp study, we aim to capture the needs and wishes of HDGECs, partners of HDGECs, and health care providers (HCPs) in order to develop a multinational eHealth platform targeting QoL of both HDGECs and partners at home.Methods: We will employ a participatory user-centered design (UCD) approach, which focusses on an in-depth understanding of the end-users' needs and their contexts. Premanifest and manifest adult HDGECs (n = 76), partners of HDGECs (n = 76), and HCPs (n = 76) will be involved as end-users in all three phases of the research and design process: (1) Exploration and mapping of the end-users' needs, experiences and wishes; (2) Development of concepts in collaboration with end-users to ensure desirability; (3) Detailing of final prototype with quick review rounds by end-users to create a positive user-experience. This study will be conducted in the Netherlands, Germany, Czech Republic, Italy, and Ireland to develop and test a multilingual platform that is suitable in different healthcare systems and cultural contexts.Discussion: Following the principles of UCD, an innovative European eHealth platform will be developed that addresses the needs and wishes of HDGECs, partners and HCPs. This allows for high-quality, tailored care to be moved partially into the participants' home, thereby circumventing some barriers in current HD care provision. By actively involving end-users in all design decisions, the platform will be tailored to the end-users' unique requirements, which can be considered pivotal in eHealth services for a disease as complex and rare as HD.

Background and purpose Motor speech alterations are a prominent feature of clinically manifest Huntington's disease (HD). Objective acoustic analysis of speech can quantify speech alterations. It is currently unknown, however, at what stage of HD speech alterations can be reliably detected. We aimed to explore the patterns and extent of speech alterations using objective acoustic analysis in HD and to assess correlations with both rater‐assessed phenotypical features and biological determinants of HD. Methods Speech samples were acquired from 44 premanifest (29 pre‐symptomatic and 15 prodromal) and 25 manifest HD gene expansion carriers, and 25 matched healthy controls. A quantitative automated acoustic analysis of 10 speech dimensions was performed. Results Automated speech analysis allowed us to differentiate between participants with HD and controls, with areas under the curve of 0.74 for pre‐symptomatic, 0.92 for prodromal, and 0.97 for manifest stages. In addition to irregular alternating motion rates and prolonged pauses seen only in manifest HD, both prodromal and manifest HD displayed slowed articulation rate, slowed alternating motion rates, increased loudness variability, and unstable steady‐state position of articulators. In participants with premanifest HD, speech alteration severity was associated with cognitive slowing (r = −0.52, p < 0.001) and the extent of bradykinesia (r = 0.43, p = 0.004). Speech alterations correlated with a measure of exposure to mutant gene products (CAG‐age‐product score; r = 0.60, p < 0.001). Conclusion Speech abnormalities in HD are associated with other motor and cognitive deficits and are measurable already in premanifest stages of HD. Therefore, automated speech analysis might represent a quantitative HD biomarker with potential for assessing disease progression.

Background Huntington’s disease (HD) is a genetic, neurodegenerative disease. Due to the progressive nature of HD and the absence of a cure, (health-related) quality of life ((HR)QoL) is an important topic. Several studies have investigated (HR)QoL in HD, yet a clear synthesis of the existing literature is lacking to date. We performed a systematic review on self-reported (HR)QoL, and factors and intervention effects associated with (HR)QoL in premanifest and manifest HD gene expansion carriers (pHDGECs and mHDGECs, respectively). Methods PubMed, EMBASE, Web of Science, and PsycINFO were searched systematically from September 17th, 2021, up to August 11th, 2022. Methodological and conceptual quality of the included studies was assessed with two appraisal tools. Results 30 out of 70 eligible articles were included. mHDGECs experienced lower (HR)QoL compared to pHDGECs and controls, whereas mixed findings were reported when compared to other neurological diseases. Several factors were associated with (HR)QoL that might contribute to lower (HR)QoL in mHDGECs, including depressive symptoms, physical and psychological symptoms, lower functional capacity, lower support, and unmet needs. Multidisciplinary rehabilitation programs and a respiratory muscle training were beneficial for (HR)QoL in mHDGECs. Discussion (HR)QoL is experienced differently across the course of the disease. Although (HR)QoL is key for understanding the impact of HD and the effect of symptomatic treatment, there is a need to improve the methodological and conceptual shortcomings that were found in most studies, especially regarding the conceptual clarity when reporting on QoL and HRQoL. Suggestions for strengthening these shortcomings are provided in this review.

Objective This study used the looking-at-nothing phenomenon to explore situation awareness (SA) and the effects of working memory (WM) load in driving situations. Background While driving, people develop a mental representation of the environment. Since errors in retrieving information from this representation can have fatal consequences, it is essential for road safety to investigate this process. During retrieval, people tend to fixate spatial positions of visually encoded information, even if it is no longer available at that location. Previous research has shown that this “looking-at-nothing” behavior can be used to trace retrieval processes. Method In a video-based laboratory experiment with 2 (WM) x 3 (SA level) within-subjects design, participants ( N = 33) viewed a reduced screen and evaluated auditory statements relating to different SA levels on previously seen dynamic traffic scenarios while eye movements were recorded. Results When retrieving information, subjects more frequently fixated emptied spatial locations associated with the information relevant for the probed SA level. The retrieval of anticipations (SA level 3) in contrast to the other SA level information resulted in more frequent gaze transitions that corresponded to the spatial dynamics of future driving behavior. Conclusion The results support the idea that people build a visual-spatial mental image of a driving situation. Different gaze patterns when retrieving level-specific information indicate divergent retrieval processes. Application Potential applications include developing new methodologies to assess the mental representation and SA of drivers objectively.