The anti-leprosy drug clofazimine reduces polyQ toxicity through activation of PPARγ.

BACKGROUND: PolyQ diseases are autosomal dominant neurodegenerative disorders caused by the expansion of CAG repeats. While of slow progression, these diseases are ultimately fatal and lack effective therapies. METHODS: A high-throughput chemical screen was conducted to identify drugs that lower the toxicity of a protein containing the first exon of Huntington's disease (HD) protein huntingtin (HTT) harbouring 94 glutamines (Htt-Q94). Candidate drugs were tested in a wide range of in vitro and in vivo models of polyQ toxicity. FINDINGS: The chemical screen identified the anti-leprosy drug clofazimine as a hit, which was subsequently validated in several in vitro models. Computational analyses of transcriptional signatures revealed that the effect of clofazimine was due to the stimulation of mitochondrial biogenesis by peroxisome proliferator-activated receptor gamma (PPARγ). In agreement with this, clofazimine rescued mitochondrial dysfunction triggered by Htt-Q94 expression. Importantly, clofazimine also limited polyQ toxicity in developing zebrafish and neuron-specific worm models of polyQ disease. INTERPRETATION: Our results support the potential of repurposing the antimicrobial drug clofazimine for the treatment of polyQ diseases. FUNDING: A full list of funding sources can be found in the acknowledgments section.

Fountain of youth-Targeting autophagy in aging.

As our society ages inexorably, geroscience and research focusing on healthy aging is becoming increasingly urgent. Macroautophagy (referred to as autophagy), a highly conserved process of cellular clearance and rejuvenation has attracted much attention due to its universal role in organismal life and death. Growing evidence points to autophagy process as being one of the key players in the determination of lifespan and health. Autophagy inducing interventions show significant improvement in organismal lifespan demonstrated in several experimental models. In line with this, preclinical models of age-related neurodegenerative diseases demonstrate pathology modulating effect of autophagy induction, implicating its potential to treat such disorders. In humans this specific process seems to be more complex. Recent clinical trials of drugs targeting autophagy point out some beneficial effects for clinical use, although with limited effectiveness, while others fail to show any significant improvement. We propose that using more human-relevant preclinical models for testing drug efficacy would significantly improve clinical trial outcomes. Lastly, the review discusses the available cellular reprogramming techniques used to model neuronal autophagy and neurodegeneration while exploring the existing evidence of autophagy's role in aging and pathogenesis in human-derived in vitro models such as embryonic stem cells (ESCs), induced pluripotent stem cell derived neurons (iPSC-neurons) or induced neurons (iNs).

The complexity of theory of mind deficit in schizophrenia: A cross-sectional analysis of baseline data from a longitudinal schizophrenia study.

A large number of trials have supported the functional significance of Theory of Mind (ToM) impairment in schizophrenia. However, the nature and the extent of the impairment are still unclear. Reviews on the topic suggest that, in many cases, studies use only one tool to assess the levels of difficulty in the field, limiting the validity of the measurement to one aspect of ToM. On the other hand, the divergence of the used assessment tools makes it hard to compare the result of these studies. Thus, we decided to use additional assessment tools to evaluate the extent of ToM in order to describe several aspects of the phenomenon. A hierarchical cluster analysis of variables was used on a sample of 68 participants with schizophrenia or schizoaffective disorder, to determine the similarity between variances of the assessed ToM subcomponents. Further cross-sectional correlational analysis was then performed to investigate the association between the identified clusters and other used measures (e.g.: neurocognition). The statistical analysis supported a five-cluster model. Identified clusters illustrate the difference between Hypo and HyperToM as well as the degree of ToM task complexity, allowing for a more accurate description of the nature of ToM deficit in schizophrenia.

Virtual reality-based theory of mind intervention in schizophrenia: Preliminary efficacy results.

BACKGROUND: In recent years, a growing body of literature has supported the core nature and functional significance of Theory of Mind (ToM) deficit in schizophrenia. These findings have made ToM impairment a promising treatment target. However, despite the encouraging results, its complexity makes it difficult to develop new interventions and even to understand the exact nature and scope of the deficit. Yet, further investigation has suggested that using modern technology and multilevel assessment may help solve the problem. METHODS: Virtual Reality-based Theory of Mind Intervention (VR-ToMIS) is a recently developed structured method using the combination of cognitive and behavioral therapeutic techniques and the advantages of Virtual Reality (VR) technology. A controlled study with a three-month follow-up was conducted with 42 patients (suffering from schizophrenia or schizo-affective disorder) randomly assigned to either an experimental (VR-ToMIS) or control group (passive-VR). Repeated two-way factorial analysis of covariance was used to evaluate the effects of VR-ToMIS on symptoms, neuro- and social cognition, pragmatic skills, and quality of life when the effect of IQ was controlled. RESULTS: Patients participating in VR-ToMIS showed significant improvements in all types of ToM tasks (except for hyper-ToM task, based on the results of Cartoon test, Faux pas test and and Baron-Cohen Minds in the Eyes Test) compared to the control group with moderate to large effect sizes. In the case of negative and cognitive symptoms, significant between-group differences were also supported. Improvement was moderated by IQ in the case of higher-order ToM, manner, and relevance implicatures. Results were proved to be sustainable three months after the treatment. CONCLUSION: Although the presented results are considered preliminary, they support the potential of the integration of modern technology and traditional methods for future interventions.

Improved Stroke Care in a Primary Stroke Centre Using AI-Decision Support.

BACKGROUND: Patient selection for reperfusion therapies requires significant expertise in neuroimaging. Increasingly, machine learning-based analysis is used for faster and standardized patient selection. However, there is little information on how such software influences real-world patient management. AIMS: We evaluated changes in thrombolysis and thrombectomy delivery following implementation of automated analysis at a high volume primary stroke centre. METHODS: We retrospectively collected data on consecutive stroke patients admitted to a large university stroke centre from two identical 7-month periods in 2017 and 2018 between which the e-Stroke Suite (Brainomix, Oxford, UK) was implemented to analyse non-contrast CT and CT angiography results. Delivery of stroke care was otherwise unchanged. Patients were transferred to a hub for thrombectomy. We collected the number of patients receiving intravenous thrombolysis and/or thrombectomy, the time to treatment; and outcome at 90 days for thrombectomy. RESULTS: 399 patients from 2017 and 398 from 2018 were included in the study. From 2017 to 2018, thrombolysis rates increased from 11.5% to 18.1% with a similar trend for thrombectomy (2.8-4.8%). There was a trend towards shorter door-to-needle times (44-42 min) and CT-to-groin puncture times (174-145 min). There was a non-significant trend towards improved outcomes with thrombectomy. Qualitatively, physician feedback suggested that e-Stroke Suite increased decision-making confidence and improved patient flow. CONCLUSIONS: Use of artificial intelligence decision support in a hyperacute stroke pathway facilitates decision-making and can improve rate and time of reperfusion therapies in a hub-and-spoke system of care.

Automated quantification of atrophy and acute ischemic volume for outcome prediction in endovascular thrombectomy.

Background: Short- and long-term outcomes from endovascular thrombectomy (EVT) for large vessel occlusion stroke remain variable. Numerous relevant predictors have been identified, including severity of neurological deficits, age, and imaging features. The latter is typically defined as acute changes (most commonly Alberta Stroke Programme Early CT Score, ASPECTS, at presentation), but there is little information on the impact of imaging assessment of premorbid brain health as a determinant of outcome. Aims: To examine the impact of automated measures of stroke severity and underlying brain frailty on short- and long-term outcomes in acute stroke treated with EVT. Methods: In 215 patients with anterior circulation stroke, who subsequently underwent EVT, automated analysis of presenting non-contrast CT scans was used to determine acute ischemic volume (AIV) and e-ASPECTS as markers of stroke severity, and cerebral atrophy as a marker of brain frailty. Univariate and multivariate logistic regression were used to identify significant predictors of NIHSS improvement, modified Rankin scale (mRS) at 90 and 30 days, mortality at 90 days and symptomatic intracranial hemorrhage (sICH) following successful EVT. Results: For long-term outcome, atrophy and presenting NIHSS were significant predictors of mRS 0-2 and death at 90 days, whereas age did not reach significance in multivariate analysis. Conversely, for short-term NIHSS improvement, AIV and age were significant predictors, unlike presenting NIHSS. The interaction between age and NIHSS was similar to the interaction of AIV and atrophy for mRS 0-2 at 90 days. Conclusion: Combinations of automated software-based imaging analysis and clinical data can be useful for predicting short-term neurological outcome and may improve long-term prognostication in EVT. These results provide a basis for future development of predictive tools built into decision-aiding software in stroke.

Impact of COVID-19 on ischemic stroke care in Hungary.

Data about the coronavirus disease 2019 (COVID-19) pandemic's collateral damage on ischemic stroke (IS) care during the second epidemic wave in Central Europe are limited. We sought to evaluate the impact of the COVID-19 outbreak on Hungarian IS care during the two epidemic waves. This retrospective observational study was based on a nationwide reimbursement database that encompasses all IS admissions and all reperfusion interventions, i.e., intravenous thrombolysis (IVT) and endovascular therapy (EVT) from 2 January 2017 to 31 December 2020 in Hungary. COVID-19 pandemic's effect on the number of IS admissions and reperfusion interventions were analyzed using different statistics: means, medians, trends, relative rates, and linear relationships. The mean and median values of IS admissions and reperfusion interventions decreased only in some measure during the COVID-periods. However, trend analysis demonstrated a significant decline from the trends. The decline's dynamic and amplitude have differed for each variable. In contrast to IVT, the number of IS admissions and EVTs negatively correlated with the epidemic waves' amplitude. Besides, the decrease in the number of IS admissions was more pronounced than the decrease in the number of reperfusion interventions. Our study demonstrated a significant disruption in IS care during the COVID-19 epidemic in Hungary, in which multiple different factors might play a role. The disproportionate reduction of IS admission numbers could partially be explained by the effect of health emergency operative measures and changes in patients' social behavior. Further studies are needed to evaluate the causes of our observations.

Living with a Brain AVM: A Quality of Life Assessment.

BACKGROUND AND PURPOSE: Brain arteriovenous malformations (AVM) are uncommon vascular lesions with the risk of hemorrhage, epileptic seizures, neurological deficits, and headache. Comparing the risks of the natural history and that of preventive treatment, a recent study has found observation more beneficial than treatment for unruptured AVMs. This study, however, did not consider the long-term impact of carrying a brain AVM on everyday activities. In this study we analyzed the Quality Of Life (QOL) of patients with untreated AVMs, a measure increasingly used in clinical trials to asses this kind of impact. METHODS: We enrolled 36 patients with unruptured, untreated brain AVM from our hospital database and measured their QOL retrospectively using the EQ-5D-5L questionnaire. As a control group we used the results of the Research Report, a nationwide study based on the quality of life of 5534 healthy Hungarians in 2002. Due to the low number of cases, statistical analysis could not be made. RESULTS: Headache proved to be the most common AVM-related sign in our cohort (40%, n = 17), with a female predominance; neurological deficit was detected in 33% (n = 14), while epileptic seizures occurred in 26% (n = 11), more commonly affecting male subjects. Anxiety and discomfort seemed to be the most prevalent influencing factors on QOL, especially in the youngest age group (18-34 years). Female subjects showed a greater dependence than men in all age groups, though males had a more significant impairment in their usual activities. Older patients were affected more significantly in their self-care and usual activities compared with the younger population. CONCLUSIONS: Untreated AVMs have a significant negative impact on patients carrying unruptured brain AVMs, as proved by QOL assessment. Beside neurological deficits, this impact should also be considered in the therapeutic decision.

Case Report: Feasibility of a Novel Virtual Reality-Based Intervention for Patients With Schizophrenia.

Schizophrenia is a severe and disabling mental illness, associated with persistent difficulties in social functioning. While gaining and retaining a job or staying socially integrated can be very difficult for the patients, the treatment of poor functionality remains challenging with limited options in pharmacotherapy. To address the limitations of medical treatment, several interesting and innovative approaches have been introduced in the field of psychotherapy. Recent approaches incorporate modern technology as well, such as virtual reality. A potential therapeutic benefit of virtual reality is particularly significant when an interpersonal dimension of the problem needs to be addressed. One example is a Virtual Reality based Theory of Mind Intervention (VR-ToMIS), a novel method, which enables patients to practice complex social interactions without the burden of real-life consequences. Our paper presents a case report showing promising results of VR-ToMIS. Ms. Smith is a 50- year-old patient who has been suffering from schizophrenia for 20 years. Although in her case there was no problem with compliance throughout the years, she had severe problems regarding social functionality. With VR-ToMIS, she improved in ToM and communicative-pragmatic skills. The effects of the intervention went beyond the increased scores of the tests. Before the intervention there was a risk of the patient becoming unemployed as she was unable to follow the main principles of communicative exchange. Usually, her contribution was more informative than was required. After the intervention her communication became more balanced and she could retain her job. This case suggests that VR-ToMIS may be a promising tool for treating social disfunction in schizophrenia.

A novel virtual reality-based theory of mind intervention for outpatients with schizophrenia: A proof-of-concept pilot study.

Schizophrenia is a severe and highly disabling mental illness. Although several pharmacological solutions are available to alleviate symptoms of schizophrenia, they do not seem to provide solution for accompanying social dysfunctions. To handle this unmet clinical need, many innovative interventions have been developed recently. Considering the promising results on this field and the development trend, characterized by the growing proportion of included interactive technology, our research team developed a novel virtual reality (VR)-based targeted theory of mind (ToM) intervention (VR-ToMIS) for stable outpatients with schizophrenia. VR-ToMIS is a nine-session long structured and individualized method that uses cognitive and behavioural therapeutic techniques in an immersive VR environment. Our study was a randomized, controlled pilot study. Twenty-one patients have been recruited and randomly allocated to either VR-ToMIS or passive VR condition. Patients assigned to passive VR condition could use the same VR software as the VR-ToMIS group, but without any interventions. Effects on psychiatric symptoms, neurocognitive and social cognitive functions, pragmatic language skills and quality of life were evaluated by using analysis of covariance. According to our results, VR-ToMIS was associated with improvements in negative symptoms, in one neurocognitive field (immediate memory), ToM and pragmatic language skills, but no significant change in quality of life scores was detected. Significant changes in VR-ToMIS group were associated with moderate to large therapeutic effects (ηp 2  = .24-.46, φ = .55-.67). On the background of the presented pilot results, VR-ToMIS is concluded to be feasible and tolerable.

Comparing extended versus standard time window for thrombectomy: caseload, patient characteristics, treatment rates and outcomes-a prospective single-centre study.

PURPOSE: New guidelines recommend thrombectomy up to 24 h in selected patients; however, the workload and benefit of extending time window are not known. We conducted a prospective single-centre study to determine the caseload, imaging and interventional need of extended time window. METHODS: All consecutive ischemic stroke patients within 24 h from onset in an 11-month period were included. Thrombectomy eligibility in the 0-6 h time window was based on current guidelines; in the 6-24 h time window, it was based on a combination of DEFUSE 3 and DAWN study criteria using MRI to identify target mismatch. Clinical outcome in treated patients was assessed at 3 months. RESULTS: Within 24 h of onset, 437 patients were admitted. In the 0-6 h time window, 238 patients (54.5%) arrived of whom 221 (92.9%) underwent CTA or MRA, 82 (34.5%) had large vessel occlusion (LVO), 30 (12.6%) had thrombectomy and 11 (36.6%) became independent (mRS ≤ 2). In the extended 6-24 h time window, 199 patients (45.5%) arrived of whom 127 (63.8%) underwent CTA or MRA, 44 (22.1%) had LVO, 8 (4%) had thrombectomy and 4 (50%) became independent. CONCLUSION: Extending the time window from 6 to 24 h results in a 26.7% increase in patients receiving thrombectomy and a 36.4% increase of independent clinical outcome in treated patients at the price of a significantly increased burden of clinical and imaging screening due to the similar caseload but a smaller proportion of treatment eligible patients in the extended as compared with the standard time window.

Coronary stent implantation for acute basilar artery occlusion with underlying stenosis.

AIMS: Our aim was to study the effectiveness of coronary stent implantation during the endovascular treatment (EVT) of acute basilar artery occlusion (BAO) with occlusion-underlying intracranial atherosclerotic stenosis (ICAS). METHODS AND RESULTS: We retrospectively analysed 91 consecutive BAO patients who underwent EVT between February 2014 and January 2019 in a single, high-volume neurointerventional centre. We studied the effect of immediate coronary stent implantation on the clinical outcome of BAO with occlusion-underlying stenosis. BAO patients with underlying ICAS (n=41) were characterised by longer symptom-onset-to-reperfusion times (231 min vs 173 min, p=0.0020), lower TICI 2b-3 reperfusion rates (65.85% vs 90.00%, p=0.0084), and higher overall mortality (HR 2.021, p=0.0417) compared to the BAO cases without ICAS (n=50). The patients undergoing stenting (n=18) had lower residual basilar artery (BA) stenosis (14.7% vs 81.0%, p<0.0001), higher chance for functional recovery (OR 7.6, p=0.0250) and higher chance of survival (HR 4.163, p=0.0026) compared to the BAO-ICAS cases treated without coronary stents (n=21). CONCLUSIONS: The immediate treatment of the occlusion-underlying stenosis with coronary stents and dual antiplatelet therapy (DAPT) in BAO was associated with improved overall survival and better functional outcomes.

[Treatment of Theory of Mind deficits in schizophrenia by using Virtual Reality, the VR-ToMIS training (Virtual Reality based Theory of Mind Intervention in Schizophrenia)].

Rapid development in information technology has been observed recently and has led to valuable developments also in healthcare. 3D-bio-printing or the virtual simulations that help the acquisition of anatomical and pathological knowledge and testing the acquired knowledge are just some of the examples. This progress can be recognized also in psychiatry. One of the most spectacular ways of using these technologies in psychiatry might be the therapeutic techniques associated with Virtual Reality (VR) simulations, which are currently available for anxiety disorders, eating disorders and addictions. A research team of the Psychiatric and Psychotherapeutic Department of the Semmelweis University has developed a Virtual Reality-based intervention that fits in with this perspective. The intervention mainly aims at Theory of Mind deficit and pragmatic language impairment in schizophrenia. In this article the current status of our research team's work will be presented. The article reviews the literature that provides the basis for the development, leads the reader through the main stages of the development process, and finally the program itself will be introduced. Process and mechanism of change associated with the intervention and the potential risks of the use of VR will also be discussed.