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      Long-term running exercise improves cognitive function and promotes microglial glucose metabolism and morphological plasticity in the hippocampus of APP/PS1 mice

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          Abstract

          Background

          The role of physical exercise in the prevention of Alzheimer’s disease (AD) has been widely studied. Microglia play an important role in AD. Triggering receptor expressed in myeloid cells 2 (TREM2) is expressed on microglia and is known to mediate microglial metabolic activity and brain glucose metabolism. However, the relationship between brain glucose metabolism and microglial metabolic activity during running exercise in APP/PS1 mice remains unclear.

          Methods

          Ten-month-old male APP/PS1 mice and wild-type mice were randomly divided into sedentary groups or running groups (AD_Sed, WT_Sed, AD_Run and WT_Run, n = 20/group). Running mice had free access to a running wheel for 3 months. Behavioral tests, [18]F-FDG-PET and hippocampal RNA-Seq were performed. The expression levels of microglial glucose transporter (GLUT5), TREM2, soluble TREM2 (sTREM2), TYRO protein tyrosine kinase binding protein (TYROBP), secreted phosphoprotein 1 (SPP1), and phosphorylated spleen tyrosine kinase (p-SYK) were estimated by western blot or ELISA. Immunohistochemistry, stereological methods and immunofluorescence were used to investigate the morphology, proliferation and activity of microglia.

          Results

          Long-term voluntary running significantly improved cognitive function in APP/PS1 mice. Although there were few differentially expressed genes (DEGs), gene set enrichment analysis (GSEA) showed enriched glycometabolic pathways in APP/PS1 running mice. Running exercise increased FDG uptake in the hippocampus of APP/PS1 mice, as well as the protein expression of GLUT5, TREM2, SPP1 and p-SYK. The level of sTREM2 decreased in the plasma of APP/PS1 running mice. The number of microglia, the length and endpoints of microglial processes, and the ratio of GLUT5 +/IBA1 + microglia were increased in the dentate gyrus (DG) of APP/PS1 running mice. Running exercise did not alter the number of 5-bromo-2′-deoxyuridine (BrdU) +/IBA1 + microglia but reduced the immunoactivity of CD68 in the hippocampus of APP/PS1 mice.

          Conclusions

          Running exercise inhibited TREM2 shedding and maintained TREM2 protein levels, which were accompanied by the promotion of brain glucose metabolism, microglial glucose metabolism and morphological plasticity in the hippocampus of AD mice. Microglia might be a structural target responsible for the benefits of running exercise in AD. Promoting microglial glucose metabolism and morphological plasticity modulated by TREM2 might be a novel strategy for AD treatment.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12974-022-02401-5.

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          Most cited references86

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

            Although genomewide RNA expression analysis has become a routine tool in biomedical research, extracting biological insight from such information remains a major challenge. Here, we describe a powerful analytical method called Gene Set Enrichment Analysis (GSEA) for interpreting gene expression data. The method derives its power by focusing on gene sets, that is, groups of genes that share common biological function, chromosomal location, or regulation. We demonstrate how GSEA yields insights into several cancer-related data sets, including leukemia and lung cancer. Notably, where single-gene analysis finds little similarity between two independent studies of patient survival in lung cancer, GSEA reveals many biological pathways in common. The GSEA method is embodied in a freely available software package, together with an initial database of 1,325 biologically defined gene sets.
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              The amyloid hypothesis of Alzheimer's disease: progress and problems on the road to therapeutics.

              It has been more than 10 years since it was first proposed that the neurodegeneration in Alzheimer's disease (AD) may be caused by deposition of amyloid beta-peptide (Abeta) in plaques in brain tissue. According to the amyloid hypothesis, accumulation of Abeta in the brain is the primary influence driving AD pathogenesis. The rest of the disease process, including formation of neurofibrillary tangles containing tau protein, is proposed to result from an imbalance between Abeta production and Abeta clearance.
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                Author and article information

                Contributors
                602568297@qq.com
                ytang062@163.com
                Journal
                J Neuroinflammation
                J Neuroinflammation
                Journal of Neuroinflammation
                BioMed Central (London )
                1742-2094
                5 February 2022
                5 February 2022
                2022
                : 19
                : 34
                Affiliations
                [1 ]GRID grid.203458.8, ISNI 0000 0000 8653 0555, Department of Histology and Embryology, Faculty of Basic Medical Sciences, , Chongqing Medical University, ; Chongqing, 400016 People’s Republic of China
                [2 ]GRID grid.203458.8, ISNI 0000 0000 8653 0555, Laboratory of Stem Cell and Tissue Engineering, , Chongqing Medical University, ; Chongqing, 400016 People’s Republic of China
                [3 ]GRID grid.203458.8, ISNI 0000 0000 8653 0555, Experimental Teaching Management Center, , Chongqing Medical University, ; Chongqing, 400016 People’s Republic of China
                [4 ]GRID grid.203458.8, ISNI 0000 0000 8653 0555, Department of Radioactive Medicine, , Chongqing Medical University, ; Chongqing, 400016 People’s Republic of China
                [5 ]GRID grid.203458.8, ISNI 0000 0000 8653 0555, Department of Pathophysiology, , Chongqing Medical University, ; Chongqing, 400016 People’s Republic of China
                Author information
                http://orcid.org/0000-0001-8449-5546
                Article
                2401
                10.1186/s12974-022-02401-5
                8817568
                35123512
                9ab97e2e-11ac-44c9-8fa1-c01824775e7d
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 18 September 2021
                : 24 January 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 81801269
                Award ID: 81671259
                Award ID: 81871073
                Funded by: FundRef http://dx.doi.org/10.13039/501100005230, Natural Science Foundation of Chongqing;
                Award ID: cstc2020jcyj-msxmX0354
                Award ID: cstc2020jcyj-msxmX0125
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Neurosciences
                alzheimer’s disease,running exercise,hippocampus,microglia,trem2
                Neurosciences
                alzheimer’s disease, running exercise, hippocampus, microglia, trem2

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