14 research outputs found
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Tau Aggregation Correlates with Amyloid Deposition in Both Mild Cognitive Impairment and Alzheimer’s Disease Subjects
Background:Amyloid plaque and tau-containing neurofibrillary tangles are important features of Alzheimer’s disease (AD). However, the relationship between these processes is still debated.
Objective:We aimed to investigate local and distant relationships between tau and amyloid deposition in the cortex in mild cognitive impairment (MCI) and AD using PET imaging. Methods:Seventy-nine subjects (51 controls, 13 amyloid-positive MCI subjects, and 15 amyloid positive AD subjects) underwent MRI and 18F-flutemetamol PET. All MCI/AD subjects and 8 healthy controls as well as 33 healthy control subjects from the ADNI dataset also had 18F-AV1451 PET. Regional and distant correlations were examined after sampling target-to-cerebellar ratio images. Biological parametric mapping was used to evaluate voxel level correlations locally.
Results:We found multiple clusters of voxels with highly significant positive correlations throughout the association cortex in both MCI and AD subjects.
Conclusion:The multiple clusters of positive correlations indicate that tau and amyloid may interact locally and be involved in disease progression. Our findings suggest that targeting both pathologies may be required
The delirium and population health informatics cohort study protocol: ascertaining the determinants and outcomes from delirium in a whole population.
Background: Delirium affects 25% of older inpatients and is associated with long-term cognitive impairment and future dementia. However, no population studies have systematically ascertained cognitive function before, cognitive deficits during, and cognitive impairment after delirium. Therefore, there is a need to address the following question: does delirium, and its features (including severity, duration, and presumed aetiologies), predict long-term cognitive impairment, independent of cognitive impairment at baseline? Methods: The Delirium and Population Health Informatics Cohort (DELPHIC) study is an observational population-based cohort study based in the London Borough of Camden. It is recruiting 2000 individuals aged ≥70 years and prospectively following them for two years, including daily ascertainment of all inpatient episodes for delirium. Daily inpatient assessments include the Memorial Delirium Assessment Scale, the Observational Scale for Level of Arousal, and the Hierarchical Assessment of Balance and Mobility. Data on delirium aetiology is also collected. The primary outcome is the change in the modified Telephone Interview for Cognitive Status at two years. Discussion: DELPHIC is the first population sample to assess older persons before, during and after hospitalisation. The cumulative incidence of delirium in the general population aged ≥70 will be described. DELPHIC offers the opportunity to quantify the impact of delirium on cognitive and functional outcomes. Overall, DELPHIC will provide a real-time public health observatory whereby information from primary, secondary, intermediate and social care can be integrated to understand how acute illness is linked to health and social care outcomes
Chitin particles induce size-dependent but carbohydrate-independent innate eosinophilia
Large non-phagocytosable beads, independent of the chemical composition, induce innate eosinophilia and macrophage activation with high arginase I expression
PARO as a Biofeedback Medical Device for Mental Health in the COVID-19 Era
The COVID-19 pandemic is spreading across the globe, and it could take years for society to fully recover. Personal protective equipment (PPE), various hygiene measures, and social distancing have been implemented to reduce “human to human” contact, which is an essential part of outbreak prevention. The pressure of the pandemic combined with decreased communication and social contact have taken a toll on the mental health of many individuals, especially with respect to anxiety and depression. Effective use of robots and technology as a substitute for—or in coordination with—traditional medicine could play a valuable role in reducing psychological distress now more than ever. This paper summarizes the results of a comprehensive review of clinical research on PARO, a therapeutic seal robot, which has been used extensively as a biofeedback medical device and socially assistive robot in the field of mental health. PARO has proven to be an effective and economical non-pharmacological intervention method for both mental and physical well-being during the COVID-19 pandemic. Utilization of PARO during these times has provided more data for consideration and has helped in mitigating the negative stigma surrounding using robots in therapeutic settings