Metabolic correlates of prevalent mild cognitive impairment and Alzheimer's disease in adults with Down syndrome.

IntroductionDisruption of metabolic function is a recognized feature of late onset Alzheimer's disease (LOAD). We sought to determine whether similar metabolic pathways are implicated in adults with Down syndrome (DS) who have increased risk for Alzheimer's disease (AD).MethodsWe examined peripheral blood from 292 participants with DS who completed baseline assessments in the Alzheimer's Biomarkers Consortium-Down Syndrome (ABC-DS) using untargeted mass spectrometry (MS). Our sample included 38 individuals who met consensus criteria for AD (DS-AD), 43 who met criteria for mild cognitive impairment (DS-MCI), and 211 who were cognitively unaffected and stable (CS).ResultsWe measured relative abundance of 8,805 features using MS and 180 putative metabolites were differentially expressed (DE) among the groups at false discovery rate-corrected q< 0.05. From the DE features, a nine-feature classifier model classified the CS and DS-AD groups with receiver operating characteristic area under the curve (ROC AUC) of 0.86 and a two-feature model classified the DS-MCI and DS-AD groups with ROC AUC of 0.88. Metabolite set enrichment analysis across the three groups suggested alterations in fatty acid and carbohydrate metabolism.DiscussionOur results reveal metabolic alterations in DS-AD that are similar to those seen in LOAD. The pattern of results in this cross-sectional DS cohort suggests a dynamic time course of metabolic dysregulation which evolves with clinical progression from non-demented, to MCI, to AD. Metabolomic markers may be useful for staging progression of DS-AD

Where's the transformation? Unlocking the potential of technology-enhanced assessment

This study provides insight into technology-enhanced assessment (TEA) in diverse higher education contexts. The effectiveness of using technology for assessment in higher education is still equivocal, particularly in regard to evidence of improvements in student learning. This empirical research explores the affordances that technology offers to assessment for transforming student learning. A systematic literature review, guided by an analytic survey tool, was used to identify and interrogate recent scholarly articles published in 19 international journals. From a total of 1713 articles, 139 articles were identified as being focused on the use of technology for assessment. The analytic tool guided the rigorous exploration of the literature regarding the types of technology being used, the educational goal, the type of assessment, and the degree of “transformation” afforded by the technology. Results showed that, in the sample investigated, TEA is used most frequently for formative peer learning, as part of the task design and feedback stages of the assessment cycle, and that social media has been a major affordance for this. Results are discussed with a view to fostering a future culture of inquiry and scholarship around TEA in higher education

The Alzheimer's Biomarker Consortium-Down Syndrome: Rationale and methodology.

INTRODUCTION: Adults with Down syndrome (DS) are at exceptionally high risk for Alzheimer's disease (AD), with virtually all individuals developing key neuropathological features by age 40. Identifying biomarkers of AD progression in DS can provide valuable insights into pathogenesis and suggest targets for disease modifying treatments. METHODS: We describe the development of a multi-center, longitudinal study of biomarkers of AD in DS. The protocol includes longitudinal examination of clinical, cognitive, blood and cerebrospinal fluid-based biomarkers, magnetic resonance imaging and positron emission tomography measures (at 16-month intervals), as well as genetic modifiers of AD risk and progression. RESULTS: Approximately 400 individuals will be enrolled in the study (more than 370 to date). The methodological approach from the administrative, clinical, neuroimaging, omics, neuropathology, and statistical cores is provided. DISCUSSION: This represents the largest U.S.-based, multi-site, biomarker initiative of AD in DS. Findings can inform other multidisciplinary networks studying AD in the general population

Alzheimer's polygenic risk scores are associated with cognitive phenotypes in Down syndrome

INTRODUCTION: This study aimed to investigate the influence of the overall Alzheimer’s disease (AD) genetic architecture on Down syndrome (DS) status, cognitive measures, and cerebrospinal fluid (CSF) biomarkers. METHODS:AD polygenic risk scores (PRS) were tested for association with DS-related traits. RESULTS: The AD risk PRS was associated with disease status in several cohorts of sporadic late- and early-onset and familial late-onset AD, but not in familial earlyonset AD or DS. On the other hand, lower DS Mental Status Examination memory scores were associated with higher PRS, independent of intellectual disability and APOE (PRS including APOE, PRSAPOE, p = 2.84 × 10−4; PRS excluding APOE, PRSnonAPOE, p = 1.60 × 10−2). PRSAPOE exhibited significant associations with Aβ42, tTau, pTau, and Aβ42/40 ratio in DS. DISCUSSION: These data indicate that the AD genetic architecture influences cognitive and CSF phenotypes in DS adults, supporting common pathways that influence memory decline in both traits.Fil: Gorijala, Priyanka. Washington State University; Estados UnidosFil: Aslam, M. Muaaz. University of Pittsburgh; Estados UnidosFil: Dang, Lam Ha T.. Columbia University; Estados UnidosFil: Xicota, L.. Columbia University; Estados UnidosFil: Fernandez, Maria V.. Washington State University; Estados UnidosFil: Sung, Yun Ju. Washington State University; Estados UnidosFil: Fan, Kang Hsien. University of Pittsburgh; Estados UnidosFil: Feingold, Eleanor. University of Pittsburgh; Estados UnidosFil: Surace, Ezequiel Ignacio. Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia. Instituto de Neurociencias - Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Neurociencias; ArgentinaFil: Chhatwal, Jasmeer P.. Harvard Medical School; Estados UnidosFil: Hom, Christy L.. University of California; Estados UnidosFil: Hartley, Sigan L.. University of Wisconsin; Estados UnidosFil: Hassenstab, Jason. Washington University in St. Louis; Estados UnidosFil: Perrin, Richard J.. Washington University in St. Louis; Estados UnidosFil: Mapstone, Mark. University of California at Irvine; Estados UnidosFil: Zaman, Shahid H.. University of Cambridge; Estados UnidosFil: Ances, Beau M.. Washington State University; Estados UnidosFil: Kamboh, M. Ilyas. University of Pittsburgh; Estados UnidosFil: Lee, Joseph H.. Columbia University; Estados UnidosFil: Cruchaga, Carlos. Washington University in St. Louis; Estados Unido

Recruiting to a large-scale physical activity randomised controlled trial – experiences with the gift of hindsight

Background: Recruitment issues continue to impact a large number of trials. Sharing recruitment information is vital to support researchers to accurately predict recruitment and to manage the risk of poor recruitment during study design and implementation. The purpose of this paper is to build on the knowledge available to researchers on recruiting to community based trials. Methods: A critical commentary of the recruitment challenges encountered during the ‘Booster’ Study, a randomised controlled trial which investigated the effectiveness of a Motivational Interviewing style intervention on the maintenance of physical activity. An overview of recruitment is provided, as well as strategies employed to recruit prospective participants and possible barriers to recruitment. Results: Two hundred and eighty two people, 47% of the original target, were recruited through mail-outs with secondary recruitment pathways yielding no additional participants. The research team encountered problems re-contacting interested participants and providing study materials in non-English languages. A lower response rate to the mail-out and a greater number of non-contactable participants in the full study compared to the pilot study resulted in a smaller pool of eligible participants from the brief intervention eligible for recruitment into the RCT. Conclusion: Despite utilising widely accepted recruitment strategies and incorporating new recruitment tactics in response to challenges, the ‘Booster’ study failed to randomise a sufficient number of participants. Recruitment to community based, behavioural interventions may face different challenges than trials based in clinical or primary care pathways. Specific challenges posed by the complexity of the study design and problems with staffing and resources were exacerbated by the need to revise upwards the number of mailed invitations as a result of the pilot study. Researchers should ensure study design is facilitative to recruitment and consider the implications of changing recruitment on the operational aspects of the trial. Where possible the impact of new strategies should be measured, and recruitment successes and challenges shared with those planning similar studies. The study was a registered controlled trial (ISRCTN56495859 12 Feb 2009; NCT00836459 03 Feb 2009) KEYWORDS: Recruitment, Physical Activity, mail-outs, BOOSTER, behaviour maintenance

Validity of a novel computerized cognitive battery for mild cognitive impairment

BACKGROUND: The NeuroTrax Mindstreams computerized cognitive assessment system was designed for widespread clinical and research use in detecting mild cognitive impairment (MCI). However, the capability of Mindstreams tests to discriminate elderly with MCI from those who are cognitively healthy has yet to be evaluated. Moreover, the comparability between these tests and traditional neuropsychological tests in detecting MCI has not been examined. METHODS: A 2-center study was designed to assess discriminant validity of tests in the Mindstreams Mild Impairment Battery. Participants were 30 individuals diagnosed with MCI, 29 with mild Alzheimer's disease (AD), and 39 healthy elderly. Testing was with the Mindstreams battery and traditional neuropsychological tests. Receiver operating characteristic (ROC) analysis was used to examine the ability of Mindstreams and traditional measures to discriminate those with MCI from cognitively healthy elderly. Between-group comparisons were made (Mann-Whitney U test) between MCI and healthy elderly and between MCI and mild AD groups. RESULTS: Mindstreams outcome parameters across multiple cognitive domains significantly discriminated among MCI and healthy elderly with considerable effect sizes (p < 0.05). Measures of memory, executive function, visual spatial skills, and verbal fluency discriminated best, and discriminability was at least comparable to that of traditional neuropsychological tests in these domains. CONCLUSIONS: Mindstreams tests are effective in detecting MCI, providing a comprehensive profile of cognitive function. Further, the enhanced precision and ease of use of these computerized tests make the NeuroTrax system a valuable clinical tool in the identification of elderly at high risk for dementia

Lateral specialization in unilateral spatial neglect : a cognitive robotics model

In this paper, we present the experimental results of an embodied cognitive robotic approach for modelling the human cognitive deficit known as unilateral spatial neglect (USN). To this end, we introduce an artificial neural network architecture designed and trained to control the spatial attentional focus of the iCub robotic platform. Like the human brain, the architecture is divided into two hemispheres and it incorporates bio-inspired plasticity mechanisms, which allow the development of the phenomenon of the specialization of the right hemisphere for spatial attention. In this study, we validate the model by replicating a previous experiment with human patients affected by the USN and numerical results show that the robot mimics the behaviours previously exhibited by humans. We also simulated recovery after the damage to compare the performance of each of the two hemispheres as additional validation of the model. Finally, we highlight some possible advantages of modelling cognitive dysfunctions of the human brain by means of robotic platforms, which can supplement traditional approaches for studying spatial impairments in humans

Marine Biodiversity in the Australian Region

The entire Australian marine jurisdictional area, including offshore and sub-Antarctic islands, is considered in this paper. Most records, however, come from the Exclusive Economic Zone (EEZ) around the continent of Australia itself. The counts of species have been obtained from four primary databases (the Australian Faunal Directory, Codes for Australian Aquatic Biota, Online Zoological Collections of Australian Museums, and the Australian node of the Ocean Biogeographic Information System), but even these are an underestimate of described species. In addition, some partially completed databases for particular taxonomic groups, and specialized databases (for introduced and threatened species) have been used. Experts also provided estimates of the number of known species not yet in the major databases. For only some groups could we obtain an (expert opinion) estimate of undiscovered species. The databases provide patchy information about endemism, levels of threat, and introductions. We conclude that there are about 33,000 marine species (mainly animals) in the major databases, of which 130 are introduced, 58 listed as threatened and an unknown percentage endemic. An estimated 17,000 more named species are either known from the Australian EEZ but not in the present databases, or potentially occur there. It is crudely estimated that there may be as many as 250,000 species (known and yet to be discovered) in the Australian EEZ. For 17 higher taxa, there is sufficient detail for subdivision by Large Marine Domains, for comparison with other National and Regional Implementation Committees of the Census of Marine Life. Taxonomic expertise in Australia is unevenly distributed across taxa, and declining. Comments are given briefly on biodiversity management measures in Australia, including but not limited to marine protected areas