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      The development of ADAM10 endocytosis inhibitors for the treatment of Alzheimer’s disease

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          Abstract

          The development of new therapeutic avenues that target the early stages of Alzheimer’s disease (AD) is urgently necessary. A disintegrin and metalloproteinase domain 10 (ADAM10) is a sheddase that is involved in dendritic spine shaping and limits the generation of amyloid-β. ADAM10 endocytosis increases in the hippocampus of AD patients, resulting in the decreased postsynaptic localization of the enzyme. To restore this altered pathway, we developed a cell-permeable peptide (PEP3) with a strong safety profile that is able to interfere with ADAM10 endocytosis, upregulating the postsynaptic localization and activity of ADAM10. After extensive validation, experiments in a relevant animal model clarified the optimal timing of the treatment window. PEP3 administration was effective for the rescue of cognitive defects in APP/PS1 mice only if administered at an early disease stage. Increased ADAM10 activity promoted synaptic plasticity, as revealed by changes in the molecular compositions of synapses and the spine morphology. Even though further studies are required to evaluate efficacy and safety issues of long-term administration of PEP3, these results provide preclinical evidence to support the therapeutic potential of PEP3 in AD.

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          Abstract

          Musardo and colleagues demonstrated that restoring ADAM10 synaptic availability during early, but not late, stages of Alzheimer’s disease is a successful approach to counteract both synaptic failure and cognitive deficits in animal models, showcasing the importance of targeting early synaptic dysfunction as an effective Alzheimer’s therapeutic strategy.

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          G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

          G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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            lmerTest Package: Tests in Linear Mixed Effects Models

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              Fitting Linear Mixed-Effects Models Using lme4

              Maximum likelihood or restricted maximum likelihood (REML) estimates of the parameters in linear mixed-effects models can be determined using the lmer function in the lme4 package for R. As for most model-fitting functions in R, the model is described in an lmer call by a formula, in this case including both fixed- and random-effects terms. The formula and data together determine a numerical representation of the model from which the profiled deviance or the profiled REML criterion can be evaluated as a function of some of the model parameters. The appropriate criterion is optimized, using one of the constrained optimization functions in R, to provide the parameter estimates. We describe the structure of the model, the steps in evaluating the profiled deviance or REML criterion, and the structure of classes or types that represents such a model. Sufficient detail is included to allow specialization of these structures by users who wish to write functions to fit specialized linear mixed models, such as models incorporating pedigrees or smoothing splines, that are not easily expressible in the formula language used by lmer. Journal of Statistical Software, 67 (1) ISSN:1548-7660
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                Author and article information

                Contributors
                Journal
                Mol Ther
                Mol Ther
                Molecular Therapy
                American Society of Gene & Cell Therapy
                1525-0016
                1525-0024
                06 July 2022
                04 April 2022
                : 30
                : 7
                : 2474-2490
                Affiliations
                [1 ]Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Via Balzaretti 9, 20133 Milan, Italy
                [2 ]European Brain Research Institute (EBRI), Viale Regina Elena 295, 00161 Rome, Italy
                [3 ]Department of Neuroscience, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Via Mario Negri 2, 20156 Milan, Italy
                [4 ]CNR Neuroscience Institute, Via Raoul Follereau 3, 20854 Vedano al Lambro (MB), Italy
                [5 ]Department of Veterinary Medicine and Animal Sciences, Università degli Studi di Milano, Via Dell'Università 6, 26900 Lodi, Italy
                [6 ]Department of Clinical Sciences and Community Health, Branch of Medical Statistics, Biometry and Epidemiology “G.A. Maccacaro,” Università degli Studi di Milano, Via Celoria 22, 20133 Milan, Italy
                [7 ]Department of Life and Environmental Sciences, New York-Marche Structural Biology Center (NY-MaSBiC), Polytechnic University of Marche, Via Brecce Bianche, 60131 Ancona, Italy
                Author notes
                []Corresponding author: Elena Marcello, Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Via Balzaretti 9, 20133 Milan, Italy. elena.marcello@ 123456unimi.it
                [∗∗ ]Corresponding author: Monica Di Luca, Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Via Balzaretti 9, 20133 Milan, Italy. monica.diluca@ 123456unimi.it
                [8]

                Present address: Department of Basic Neuroscience, University of Geneva, Rue Michel-Servet 1, 1206 Geneva, Switzerland

                [9]

                These authors contributed equally

                [10]

                Senior author

                Article
                S1525-0016(22)00227-1
                10.1016/j.ymthe.2022.03.024
                9263258
                35390543
                a9286459-10d2-4e07-acb6-90d8bb636148
                © 2022 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 25 July 2021
                : 31 March 2022
                Categories
                Original Article

                Molecular medicine
                synapse,adam10,cell-permeable peptide,endocytosis,alzheimer’s disease,synaptic dysfunction,cognitive deficits,sappα

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