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      A Stearoyl–Coenzyme A Desaturase Inhibitor Prevents Multiple Parkinson Disease Phenotypes in α‐Synuclein Mice

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          Abstract

          Objective

          Parkinson disease (PD) has useful symptomatic treatments that do not slow the neurodegenerative process, and no significant disease‐modifying treatments are approved. A key therapeutic target in PD is α‐synuclein (αS), which is both genetically implicated and accumulates in Lewy bodies rich in vesicles and other lipid membranes. Reestablishing αS homeostasis is a central goal in PD. Based on previous lipidomic analyses, we conducted a mouse trial of a stearoyl–coenzyme A desaturase (SCD) inhibitor (“5b”) that prevented αS‐positive vesicular inclusions and cytotoxicity in cultured human neurons.

          Methods

          Oral dosing and brain activity of 5b were established in nontransgenic mice. 5b in drinking water was given to mice expressing wild‐type human αS (WT) or an amplified familial PD αS mutation (E35K + E46K + E61K ["3K"]) beginning near the onset of nigral and cortical neurodegeneration and the robust PD‐like motor syndrome in 3K. Motor phenotypes, brain cytopathology, and SCD‐related lipid changes were quantified in 5b‐ versus placebo‐treated mice. Outcomes were compared to effects of crossing 3K to SCD1 −/− mice.

          Results

          5b treatment reduced αS hyperphosphorylation in E46K‐expressing human neurons, in 3K neural cultures, and in both WT and 3K αS mice. 5b prevented subtle gait deficits in WT αS mice and the PD‐like resting tremor and progressive motor decline of 3K αS mice. 5b also increased αS tetramers and reduced proteinase K‐resistant lipid‐rich aggregates. Similar benefits accrued from genetically deleting 1 SCD allele, providing target validation.

          Interpretation

          Prolonged reduction of brain SCD activity prevented PD‐like neuropathology in multiple PD models. Thus, an orally available SCD inhibitor potently ameliorates PD phenotypes, positioning this approach to treat human α‐synucleinopathies. ANN NEUROL 2021;89:74–90

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          Most cited references74

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          limma powers differential expression analyses for RNA-sequencing and microarray studies

          limma is an R/Bioconductor software package that provides an integrated solution for analysing data from gene expression experiments. It contains rich features for handling complex experimental designs and for information borrowing to overcome the problem of small sample sizes. Over the past decade, limma has been a popular choice for gene discovery through differential expression analyses of microarray and high-throughput PCR data. The package contains particularly strong facilities for reading, normalizing and exploring such data. Recently, the capabilities of limma have been significantly expanded in two important directions. First, the package can now perform both differential expression and differential splicing analyses of RNA sequencing (RNA-seq) data. All the downstream analysis tools previously restricted to microarray data are now available for RNA-seq as well. These capabilities allow users to analyse both RNA-seq and microarray data with very similar pipelines. Second, the package is now able to go past the traditional gene-wise expression analyses in a variety of ways, analysing expression profiles in terms of co-regulated sets of genes or in terms of higher-order expression signatures. This provides enhanced possibilities for biological interpretation of gene expression differences. This article reviews the philosophy and design of the limma package, summarizing both new and historical features, with an emphasis on recent enhancements and features that have not been previously described.
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            A simple method for the isolation and purification of total lipides from animal tissues.

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              LIPID MAPS online tools for lipid research

              The LIPID MAPS consortium has developed a number of online tools for performing tasks such as drawing lipid structures and predicting possible structures from mass spectrometry (MS) data. A simple online interface has been developed to enable an end-user to rapidly generate a variety of lipid chemical structures, along with corresponding systematic names and ontological information. The structure-drawing tools are available for six categories of lipids: (i) fatty acyls, (ii) glycerolipids, (iii) glycerophospholipids, (iv) cardiolipins, (v) sphingolipids and (vi) sterols. Within each category, the structure-drawing tools support the specification of various parameters such as chain lengths at a specific sn position, head groups, double bond positions and stereochemistry to generate a specific lipid structure. The structure-drawing tools have also been integrated with a second set of online tools which predict possible lipid structures from precursor-ion and product-ion MS experimental data. The MS prediction tools are available for three categories of lipids: (i) mono/di/triacylglycerols, (ii) glycerophospholipids and (iii) cardiolipins. The LIPID MAPS online tools are publicly available at www.lipidmaps.org/tools/.
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                Author and article information

                Contributors
                snuber@bwh.harvard.edu
                Role: BA
                dselkoe@bwh.harvard.edu
                Journal
                Ann Neurol
                Ann Neurol
                10.1002/(ISSN)1531-8249
                ANA
                Annals of Neurology
                John Wiley & Sons, Inc. (Hoboken, USA )
                0364-5134
                1531-8249
                23 October 2020
                January 2021
                : 89
                : 1 ( doiID: 10.1002/ana.v89.1 )
                : 74-90
                Affiliations
                [ 1 ] Ann Romney Center for Neurologic Diseases, Department of Neurology Brigham and Women's Hospital and Harvard Medical School Boston MA USA
                [ 2 ] Chemical Biology & Proteomics Biogen Cambridge MA USA
                [ 3 ] Laboratory for Drug Discovery in Neurodegeneration, Department of Neurology Brigham and Women's Hospital and Harvard Medical School Boston MA USA
                [ 4 ] Department of Psychiatry and Psychotherapy, University Clinic Friedrich‐Alexander University Erlangen‐Nuremberg Erlangen Germany
                [ 5 ] Division of Molecular Neurology Friedrich‐Alexander University Erlangen‐Nuremberg Erlangen Germany
                [ 6 ] Neurodegenerative Diseases Research Unit Biogen Cambridge MA USA
                Author notes
                [*] [* ] Address correspondence to Dr Nuber or Dr Selkoe, Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Hale Building for Transformative Medicine, 60 Fenwood Road, Boston, MA 02115. E‐mail: snuber@ 123456bwh.harvard.edu (Silke Nuber); E‐mail: dselkoe@ 123456bwh.harvard.edu (Dennis J. Selkoe)

                Author information
                https://orcid.org/0000-0002-2124-6865
                https://orcid.org/0000-0001-6265-9087
                Article
                ANA25920
                10.1002/ana.25920
                7756464
                32996158
                14ca9086-78d4-4d47-ae51-e29feb33129f
                © 2020 The Authors. Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 12 April 2020
                : 25 September 2020
                : 25 September 2020
                Page count
                Figures: 7, Tables: 0, Pages: 17, Words: 11786
                Funding
                Funded by: Michael J. Fox Foundation for Parkinson's Research , open-funder-registry 10.13039/100000864;
                Award ID: 16296
                Award ID: 16261
                Funded by: National Institute of Neurological Disorders and Stroke , open-funder-registry 10.13039/100000065;
                Award ID: NS109510
                Award ID: NS099328
                Award ID: NS083845
                Award ID: S10‐OD0201786‐01
                Categories
                Research Article
                Research Articles
                Custom metadata
                2.0
                January 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.9.6 mode:remove_FC converted:23.12.2020

                Neurology
                Neurology

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