12 research outputs found

    Dynamics in the cytokine profile of beta-amyloid-specific human T cells

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    Aß1-42-specific antibodies and T cell proliferation point to the existence of a memory response to Aß1-42 in humans. Using ELISPOT, we studied Aß1-42-specific T cells in individuals of various ages and in subjects with Trisomy 21 or Alzheimer’s disease. We show for the first time that Aß1-42 specific Th1-type T cell memory is present in young humans, producing high levels of IFN-gamma and IL-2. With increasing age, the production of IFN-gamma and IL-2 decreases but is not discontinued in healthy subjects and is accompanied by a sharp rise in CD4+ T-cell derived regulatory IL-10 production. In contrast, individuals with Trisomy 21 and with Alzheimer’s disease produce IL-10 only in the absence of any effector cytokine. This signifies a switch from a Th1 effector to an IL-10 mediated regulatory response

    Building a Parkinson-Network–Experiences from Germany

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    Parkinson’s disease is a complex neurodegenerative disease that can be best treated with a multi-disciplinary care approach. Building care networks has been shown as a useful tool to facilitate the integration of care services and improve outcomes for patients and care providers. However, experiences and practices relating to building a network are very limited in the field of Parkinson’s disease. This paper portrays existing Parkinson networks in Germany. With the help of a standardized template, description of networks and their building-blocks, so-called modules, were collected from all over Germany. Modules were rated in terms of their expected benefit and the required effort when implementing them, with the help of an expert survey. The rating showed that some modules were perceived as more important than others, but all modules were recognized as beneficial for patients and care providers. Overall, the German experience shows that building a Parkinson network facilitates the integration of care and provides a benefit to all stakeholders involved

    One nerve suffices: A clinically guided nerve ultrasound protocol for the differentiation of multifocal motor neuropathy (MMN) and amyotrophic lateral sclerosis (ALS)

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    Objective!#!To investigate diagnostic accuracy of a nerve ultrasound (US) protocol that is individualized to a patient's clinical deficits for the differentiation of amyotrophic lateral sclerosis with predominant lower motoneuron disease (ALS/LMND) and multifocal motor neuropathy (MMN).!##!Methods!#!Single-center, prospective, examiner-blinded, diagnostic study in two cohorts. Cohort I (model development): Convenience sample of subjects with ALS/LMND or MMN according to revised El-Escorial or EFNS guidelines. Cohort II (model validation): Consecutively recruited treatment-naïve subjects with suspected diagnosis of ALS/LMND or MMN. Cutoffs for 28 different US values were determined by Receiver Operating Curve (ROC) in cohort I. Area Under The Curve (AUC) of US was compared to nerve conduction studies (NCS). Diagnostic accuracy of US protocols, individualized according to clinical deficits, was compared to former rigid non-individualized protocols and to random examination site selection in cohort II.!##!Results!#!48 patients were recruited. In cohort I (28 patients), US had higher ROC AUCs than NCS, US 0.82 (0.12) (mean (standard deviation)), NCS (compound muscle action potential (CMAP) 0.60 (0.09), p < .001; two-sided t-test). US models based on the nerve innervating the clinically most affected muscles had higher correct classification rates (CCRs, 93%) in cohort II than former rigid protocols (85% and 80%), or models with random measurement site selection (66% and 80%).!##!Conclusions!#!Clinically guided US protocols for differentiation of ALS/LMND from MMN increase diagnostic accuracy when compared to clinically unguided protocols. They also require less measurements sites to achieve this accuracy

    Measuring the Usability of eHealth Solutions for Patients With Parkinson Disease: Observational Study

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    BackgroundParkinson disease (PD) is a neurodegenerative disorder with a variety of motor and nonmotor symptoms. Many of these symptoms can be monitored by eHealth solutions, including smartphone apps, wearable sensors, and camera systems. The usability of such systems is a key factor in long-term use, but not much is known about the predictors of successful use and preferable methods to assess usability in patients with PD. ObjectiveThis study tested methods to assess usability and determined prerequisites for successful use in patients with PD. MethodsWe performed comprehensive usability assessments with 18 patients with PD using a mixed methods usability battery containing the System Usability Scale, a rater-based evaluation of device-specific tasks, and qualitative interviews. Each patient performed the usability battery with 2 of 3 randomly assigned devices: a tablet app, wearable sensors, and a camera system. The usability battery was administered at the beginning and at the end of a 4-day testing period. Between usability batteries, the systems were used by the patients during 3 sessions of motor assessments (wearable sensors and camera system) and at the movement disorder ward (tablet app). ResultsIn this study, the rater-based evaluation of tasks discriminated the best between the 3 eHealth solutions, whereas subjective modalities such as the System Usability Scale were not able to distinguish between the systems. Successful use was associated with different clinical characteristics for each system: eHealth literacy and cognitive function predicted successful use of the tablet app, and better motor function and lower age correlated with the independent use of the camera system. The successful use of the wearable sensors was independent of clinical characteristics. Unfortunately, patients who were not able to use the devices well provided few improvement suggestions in qualitative interviews. ConclusionseHealth solutions should be developed with a specific set of patients in mind and subsequently tested in this cohort. For a complete picture, usability assessments should include a rater-based evaluation of task performance, and there is a need to develop strategies to circumvent the underrepresentation of poorly performing patients in qualitative usability research

    Measuring the Usability of eHealth Solutions for Patients With Parkinson Disease: Observational Study

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    Background: Parkinson disease (PD) is a neurodegenerative disorder with a variety of motor and nonmotor symptoms. Many of these symptoms can be monitored by eHealth solutions, including smartphone apps, wearable sensors, and camera systems. The usability of such systems is a key factor in long-term use, but not much is known about the predictors of successful use and preferable methods to assess usability in patients with PD. Objective: This study tested methods to assess usability and determined prerequisites for successful use in patients with PD. - Methods: We performed comprehensive usability assessments with 18 patients with PD using a mixed methods usability battery containing the System Usability Scale, a rater-based evaluation of device-specific tasks, and qualitative interviews. Each patient performed the usability battery with 2 of 3 randomly assigned devices: a tablet app, wearable sensors, and a camera system. The usability battery was administered at the beginning and at the end of a 4-day testing period. Between usability batteries, the systems were used by the patients during 3 sessions of motor assessments (wearable sensors and camera system) and at the movement disorder ward (tablet app). - Results: In this study, the rater-based evaluation of tasks discriminated the best between the 3 eHealth solutions, whereas subjective modalities such as the System Usability Scale were not able to distinguish between the systems. Successful use was associated with different clinical characteristics for each system: eHealth literacy and cognitive function predicted successful use of the tablet app, and bettermotor function and lower age correlated with the independent use of the camera system. The successful use of the wearable sensors was independent of clinical characteristics. Unfortunately, patients who were not able to use the devices well provided few improvement suggestions in qualitative interviews. Conclusions: eHealth solutions should be developed with a specific set of patients in mind and subsequently tested in this cohort. For a complete picture, usability assessments should include a rater-based evaluation of task performance, and there is a need to develop strategies to circumvent the underrepresentation of poorly performing patients in qualitative usability research

    Lack of vascular endothelial growth factor receptor-2/Flk1 signaling does not affect substantia nigra development

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    Oxygen tension is critical for proliferation of human and murine midbrain-derived neural precursor cells (mNPCs). Lack of hypoxia-inducible factor-1α (HIF1α) impairs midbrain dopaminergic neurogenesis which could be rescued by vascular endothelial growth factor (VEGF) via VEGFR-2 signaling. Here, we conditionally inactivated the VEGFR-2, encoded by the fetal liver kinase 1 (Flk1) gene, in murine NPCs to determine its role in proliferation and survival in vitro as well as survival of dopaminergic neurons in vivo. Flk1 conditional knock-out (Flk1 CKO) mice showed no general brain phenotype. There was no midbrain-specific impairment of NPC proliferation as seen in HIF1α CKO mice. In the substantia nigra (SN) of adult Flk1 CKO mice, nonbiased stereological cell counts revealed no reduction of TH-positive neurons of Flk1 CKO mice compared with control Cre/wt mice (in which the wild-type Flk1 allele is expressed in parallel with the Cre recombinase allele). In conclusion, VEGF receptor signaling seems not to be relevant to the development and survival of substantia nigra dopaminergic neurons within the hypoxia-HIF1α signaling pathway

    Supplementary materials. Structured care and self-management education for persons with Parkinson's disease: why the first does not go without the second : Systematic review, experiences and implementation concepts from Sweden and Germany

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    Supplementary material for article: Structured Care and Self-Management Education for Persons with Parkinson’s Disease: Why the First Does Not Go without the Second—Systematic Review, Experiences and Implementation Concepts from Sweden and Germany</p

    Feasibility of a Multimodal Telemedical Intervention for Patients with Parkinson&rsquo;s Disease&mdash;A Pilot Study

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    Symptoms of Parkinson&rsquo;s disease (PD) can be controlled well, but treatment often requires expert judgment. Telemedicine and sensor-based assessments can allow physicians to better observe the evolvement of symptoms over time, in particular with motor fluctuations. In addition, they potentially allow less frequent visits to the expert&rsquo;s office and facilitate care in rural areas. A variety of systems with different strengths and shortcomings has been investigated in recent years. We designed a multimodal telehealth intervention (TelePark) to mitigate the shortcomings of individual systems and assessed the feasibility of our approach in 12 patients with PD over 12 weeks in preparation for a larger randomized controlled trial. TelePark uses video visits, a smartphone app, a camera system, and wearable sensors. Structured training included setting up the equipment in patients&rsquo; homes and group-based online training. Usability was assessed by questionnaires and semi-standardized telephone interviews. Overall, 11 out of 12 patients completed the trial (5 female, 6 male). Mean age was 65 years, mean disease duration 7 years, mean MoCA score 27. Adherence was stable throughout the study and 79% for a short questionnaire administered every second day, 62% for medication confirmation, and 33% for an electronic Hauser diary. Quality of life did not change in the course of the study, and a larger cohort will be required to determine the effect on motor symptoms. Interviews with trial participants identified motivations to use such systems and areas for improvements. These insights can be helpful in designing similar trials
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