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      Clock/Sleep-Dependent Learning and Memory in Male 3xTg-AD Mice at Advanced Disease Stages and Extrinsic Effects of Huprine X and the Novel Multitarget Agent AVCRI104P3

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          Abstract

          A new hypothesis highlights sleep-dependent learning/memory consolidation and regards the sleep-wake cycle as a modulator of β-amyloid and tau Alzheimer’s disease (AD) pathologies. Sundowning behavior is a common neuropsychiatric symptom (NPS) associated with dementia. Sleep fragmentation resulting from disturbances in sleep and circadian rhythms in AD may have important consequences on memory processes and exacerbate the other AD-NPS. The present work studied the effect of training time schedules on 12-month-old male 3xTg-AD mice modeling advanced disease stages. Their performance in two paradigms of the Morris water maze for spatial-reference and visual-perceptual learning and memory were found impaired at midday, after 4 h of non-active phase. In contrast, early-morning trained littermates, slowing down from their active phase, exhibited better performance and used goal-directed strategies and non-search navigation described for normal aging. The novel multitarget anticholinesterasic compound AVCRI104P3 (0.6 µmol·kg −1, 21 days i.p.) exerted stronger cognitive benefits than its in vitro equipotent dose of AChEI huprine X (0.12 μmol·kg −1, 21 days i.p.). Both compounds showed streamlined drug effectiveness, independently of the schedule. Their effects on anxiety-like behaviors were moderate. The results open a question of how time schedules modulate the capacity to respond to task demands and to assess/elucidate new drug effectiveness.

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          Most cited references47

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          The memory function of sleep.

          Sleep has been identified as a state that optimizes the consolidation of newly acquired information in memory, depending on the specific conditions of learning and the timing of sleep. Consolidation during sleep promotes both quantitative and qualitative changes of memory representations. Through specific patterns of neuromodulatory activity and electric field potential oscillations, slow-wave sleep (SWS) and rapid eye movement (REM) sleep support system consolidation and synaptic consolidation, respectively. During SWS, slow oscillations, spindles and ripples - at minimum cholinergic activity - coordinate the re-activation and redistribution of hippocampus-dependent memories to neocortical sites, whereas during REM sleep, local increases in plasticity-related immediate-early gene activity - at high cholinergic and theta activity - might favour the subsequent synaptic consolidation of memories in the cortex.
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            The Neuropsychiatric Inventory: assessing psychopathology in dementia patients.

            The Neuropsychiatric Inventory (NPI) was developed to assess psychopathology in dementia patients. It evaluates 12 neuropsychiatric disturbances common in dementia: delusions, hallucinations, agitation, dysphoria, anxiety, apathy, irritability, euphoria, disinhibition, aberrant motor behavior, night-time behavior disturbances, and appetite and eating abnormalities. The severity and frequency of each neuropsychiatric symptom are rated on the basis of scripted questions administered to the patient's caregiver. The NPI also assesses the amount of caregiver distress engendered by each of the neuropsychiatric disorders. A total NPI score and a total caregiver distress score are calculated, in addition to the scores for the individual symptom domains. Content validity, concurrent validity, inter-rater reliability, and test-retest reliability of the NPI are established. Different neurologic disorders have characteristic neuropsychiatric manifestations and distinctive NPI profiles. The NPI is sensitive to treatment effects and has demonstrated the amelioration of behavioral symptoms in Alzheimer's disease by cholinergic agents. The NPI is a useful instrument for characterizing the psychopathology of dementia syndromes, investigating the neurobiology of brain disorders with neuropsychiatric manifestations, distinguishing among different dementia syndromes, and assessing the efficacy of treatment.
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              Triple-Transgenic Model of Alzheimer's Disease with Plaques and Tangles

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Brain Sci
                Brain Sci
                brainsci
                Brain Sciences
                MDPI
                2076-3425
                26 March 2021
                April 2021
                : 11
                : 4
                : 426
                Affiliations
                [1 ]Department of Psychiatry and Forensic Medicine & Institut de Neurociències, Universitat Autònoma de Barcelona, E-08193 Barcelona, Spain; mikel.santana@ 123456e-campus.uab.cat
                [2 ]Department of Pharmacology, Therapeutics and Toxicology & Institut de Neurociències, Universitat Autònoma de Barcelona, E-08193 Barcelona, Spain; miriam.ratia@ 123456e-campus.uab.cat (M.R.); belen.perez@ 123456uab.cat (B.P.); albert.badia@ 123456uab.cat (A.B.); victoria.clos@ 123456uab.cat (M.V.C.)
                [3 ]CSIC Associated Unit, Laboratory of Medicinal Chemistry, Faculty of Pharmacy and Food Sciences, Institute of Biomedicine (IBUB), University of Barcelona, E-08028 Barcelona, Spain; camps@ 123456ub.edu (P.C.); dmunoztorrero@ 123456ub.edu (D.M.-T.)
                Author notes
                [* ]Correspondence: lidia.gimenez@ 123456uab.cat ; Tel.: +34-93-5812378
                Author information
                https://orcid.org/0000-0002-4091-489X
                https://orcid.org/0000-0001-5801-1704
                https://orcid.org/0000-0002-9633-3525
                https://orcid.org/0000-0002-8140-8555
                https://orcid.org/0000-0002-7389-3351
                Article
                brainsci-11-00426
                10.3390/brainsci11040426
                8065516
                33810622
                0132041d-1111-44d7-8005-a29ab0a99e17
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 29 January 2021
                : 23 March 2021
                Categories
                Article

                sleep,circadian activity,protocols,behavior,drug assessment,aging,alzheimer’s disease,bpsd,achei,multitarget compounds,disease-modifying mechanisms

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