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Abstract
Epigenetic mechanisms occurring in the brain as well as alterations in the gut microbiome composition might contribute to Alzheimer’s disease (AD). Human amyloid precursor protein knock-in (KI) mice contain the Swedish and Iberian mutations (AppNL-F) or those two and also the Arctic mutation (AppNL-G-F). In this study, we assessed whether behavioral and cognitive performance in 6-month-old AppNL-F, AppNL-G-F, and C57BL/6J wild-type (WT) mice was associated with the gut microbiome, and whether the genotype modulates this association. The genotype effects observed in behavioral tests were test-dependent. The biodiversity and composition of the gut microbiome linked to various aspects of mouse behavioral and cognitive performance but differences in genotype modulated these relationships. These genotype-dependent associations include members of the Lachnospiraceae and Ruminococcaceae families. In a subset of female mice, we assessed DNA methylation in the hippocampus and investigated whether alterations in hippocampal DNA methylation were associated with the gut microbiome. Among other differentially methylated regions, we identified a 1 Kb region that overlapped ing 3′UTR of the Tomm40 gene and the promoter region of the Apoe gene that and was significantly more methylated in the hippocampus of AppNL-G-F than WT mice. The integrated gut microbiome hippocampal DNA methylation analysis revealed a positive relationship between amplicon sequence variants (ASVs) within the Lachnospiraceae family and methylation at the Apoe gene. Hence, these microbes may elicit an impact on AD-relevant behavioral and cognitive performance via epigenetic changes in AD-susceptibility genes in neural tissue or that such changes in the epigenome can elicit alterations in intestinal physiology that affect the growth of these taxa in the gut microbiome.
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1 Oregon Health & Science University, Department of Behavioral Neuroscience, Portland, USA (GRID:grid.5288.7) (ISNI:0000 0000 9758 5690)
2 Oregon State University, Department of Microbiology, Corvallis, USA (GRID:grid.4391.f) (ISNI:0000 0001 2112 1969)
3 Oregon Health & Science University, Department of Medicine, Knight Cardiovascular Institute, Portland, USA (GRID:grid.5288.7) (ISNI:0000 0000 9758 5690)
4 Nagoya City University Graduate School of Medical Sciences, Department of Neurocognitive Science, Institute of Brain Science, Nagoya, Japan (GRID:grid.260433.0) (ISNI:0000 0001 0728 1069)
5 RIKEN Center for Brain Science, Laboratory for Proteolytic Neuroscience, Wako, Japan (GRID:grid.474690.8)
6 Oregon Health & Science University, Department of Medicine, Knight Cardiovascular Institute, Portland, USA (GRID:grid.5288.7) (ISNI:0000 0000 9758 5690); Oregon Health & Science University, Departments of Molecular and Medical Genetics, Portland, USA (GRID:grid.5288.7) (ISNI:0000 0000 9758 5690); Departments of Medical Informatics and Clinical Epidemiology, Portland, USA (GRID:grid.5288.7); Oregon National Primate Research Center, Division of Genetics, Beaverton, USA (GRID:grid.410436.4) (ISNI:0000 0004 0619 6542)
7 Oregon State University, Department of Microbiology, Corvallis, USA (GRID:grid.4391.f) (ISNI:0000 0001 2112 1969); Oregon State University, Department of Statistics, Corvallis, USA (GRID:grid.4391.f) (ISNI:0000 0001 2112 1969)
8 Oregon Health & Science University, Department of Behavioral Neuroscience, Portland, USA (GRID:grid.5288.7) (ISNI:0000 0000 9758 5690); Oregon Health & Science University, Departments of Neurology, Psychiatry, and Radiation Medicine, Division of Neuroscience ONPRC, Portland, USA (GRID:grid.5288.7) (ISNI:0000 0000 9758 5690); Oregon State University, College of Pharmacy, Corvallis, USA (GRID:grid.4391.f) (ISNI:0000 0001 2112 1969); Oregon Health & Science University, Department of Behavioral Neuroscience, L470, Portland, USA (GRID:grid.5288.7) (ISNI:0000 0000 9758 5690)