Longitudinal investigation of neuroinflammation and metabolite profiles in the APPswe ×PS1Δe9 transgenic mouse model of Alzheimer's disease.
Study Design
- Tipo di studio
- Other
- Popolazione
- Animal model (rodents)
- Durata
- 77.9 weeks
- Intervento
- Longitudinal investigation of neuroinflammation and metabolite profiles in the APPswe ×PS1Δe9 transgenic mouse model of Alzheimer's disease. None
- Comparatore
- None
- Esito primario
- None
- Direzione dell'effetto
- Positive
- Rischio di bias
- Unclear
Abstract
There is increasing evidence linking neuroinflammation to many neurological disorders including Alzheimer's disease (AD); however, its exact contribution to disease manifestation and/or progression is poorly understood. Therefore, there is a need to investigate neuroinflammation in both health and disease. Here, we investigate cognitive decline, neuroinflammatory and other pathophysiological changes in the APPswe ×PS1Δe9 transgenic mouse model of AD. Transgenic (TG) mice were compared to C57BL/6 wild type (WT) mice at 6, 12 and 18 months of age. Neuroinflammation was investigated by [18 F]DPA-714 positron emission tomography and myo-inositol levels using 1 H magnetic resonance spectroscopy (MRS) in vivo. Neuronal and cellular dysfunction was investigated by looking at N-acetylaspartate (NAA), choline-containing compounds, taurine and glutamate also using MRS. Cognitive decline was first observed at 12 m of age in the TG mice as assessed by working memory tests . A significant increase in [18 F]DPA-714 uptake was seen in the hippocampus and cortex of 18 m-old TG mice when compared to age-matched WT mice and 6 m-old TG mice. No overall effect of gene was seen on metabolite levels; however, a significant reduction in NAA was observed in 18 m-old TG mice when compared to WT. In addition, age resulted in a decrease in glutamate and an increase in choline levels. Therefore, we can conclude that increased neuroinflammation and cognitive decline are observed in TG animals, whereas NAA alterations occurring with age are exacerbated in the TG mice. These results support the role of neuroinflammation and metabolite alteration in AD and in ageing.
TL;DR
Increased neuroinflammation and cognitive decline are observed in TG animals, whereas NAA alterations occurring with age are exacerbated in the TG mice, which support the role of neuro inflammation and metabolite alteration in AD and in ageing.
Full Text
Longitudinal investigation 1 of neuroinflammation and metabolite profiles in the APPswe×PS1Δe9 transgenic mouse model of Alzheimer’s disease.
Chaney A.1,2*, Bauer M.3†, Bochicchio D.2†, Smigova A.1,2, Kassiou M.4, Davies K.E.14 , Williams S.R.1, Boutin H.1,2.
- 1 Centre for Imaging Science, Faculty of Biology, Medicine and Health and Manchester Academic Health Sciences Centre University of Manchester, Manchester, M13 9PT, UK
- 2 Wolfson Molecular Imaging Centre, Faculty of Biology, Medicine and Health and Manchester Academic Health Sciences Centre, University of Manchester, Manchester, M20 3LJ, UK. 3Medical University Vienna, Department of Clinical Pharmacology, Waehringer Guertel 1820, 1090 Vienna, Austria. 4School of Chemistry, University of Sydney, NSW 2006 Australia. † Contributed equally to the work
* Current address: 3165 Porter Drive, Stanford University, Palo Alto, CA, 94304.
Corresponding Author: Dr Hervé Boutin, Wolfson Molecular Imaging Centre, 27 Palatine Road, Manchester, M20 3LJ, UK Email: [email protected] Tel: +44 161 275 0078 Fax: +44 161 275 0003
18S U V [F ]D P A -714
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- 0 .0
- 1 .5
- 2 .0
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Supplementary Figure 2: [18F]DPA-714 standard uptake value in the cerebellum of WT and APPswe×PS1Δe9 mice at 6 (WT n=10, TG=7), 12 (WT n=8, TG=9) and 18 months (WT n=10, TG=9) of age. Results are
expressed as mean±SD. Statistical analysis was performed using two-way ANOVA followed by Sidak’s post-
hoc analysis (*p≤0.05).
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Figures
Figure 1
Longitudinal experimental design for investigating neuroinflammation and metabolite changes in the APPswe x PS1de9 transgenic Alzheimer's disease mouse model across multiple age time points.
flowchartFigure 2
Microglial activation markers measured longitudinally in the transgenic Alzheimer's model, showing progressive neuroinflammatory changes that correlate with amyloid plaque accumulation over time.
chartFigure 3
Astrocyte reactivity (GFAP immunostaining) in the APPswe x PS1de9 mouse brain at different ages, demonstrating increasing astrogliosis alongside advancing Alzheimer's-like pathology.
chartFigure 4
Pro-inflammatory cytokine profiles in the transgenic Alzheimer's mouse brain measured at sequential time points, revealing a progressive neuroinflammatory signature associated with disease progression.
chartFigure 5
Anti-inflammatory cytokine and growth factor levels in the APPswe x PS1de9 model over time, showing alterations in the neuroprotective signaling that may counteract neuroinflammation.
chartFigure 6
Metabolite concentration data from the longitudinal Alzheimer's mouse model, tracking neurochemical changes in brain regions affected by amyloid pathology.
chartFigure 7
Immunohistochemical analysis of neuroinflammatory markers in specific brain regions of the APPswe x PS1de9 transgenic mice, comparing age-matched wild-type and transgenic animals.
micrographFigure 8
Quantification of amyloid plaque burden and associated microglial clustering in the transgenic Alzheimer's model across the studied age range.
chartFigure 9
Metabolite concentration data from the longitudinal Alzheimer's mouse model, tracking neurochemical changes in brain regions affected by amyloid pathology.
chartFigure 10
Immunohistochemical analysis of neuroinflammatory markers in specific brain regions of the APPswe x PS1de9 transgenic mice, comparing age-matched wild-type and transgenic animals.
micrographFigure 11
MRS (magnetic resonance spectroscopy) data from the Alzheimer's transgenic mouse brain, detecting metabolite ratios that reflect neuronal integrity and glial activation status.
chartFigure 12
Correlation analysis between neuroinflammatory marker levels and metabolite concentrations in the APPswe x PS1de9 mouse model, suggesting mechanistic links between inflammation and metabolic disruption.
chartFigure 13
Regional brain analysis comparing hippocampal and cortical neuroinflammatory profiles in the transgenic Alzheimer's model at an intermediate age time point.
chartFigure 14
Longitudinal tracking of specific metabolite ratios (such as NAA/Cr or myo-inositol/Cr) in the Alzheimer's transgenic mouse model, used as biomarkers of neuronal health and gliosis.
chartFigure 15
MRS (magnetic resonance spectroscopy) data from the Alzheimer's transgenic mouse brain, detecting metabolite ratios that reflect neuronal integrity and glial activation status.
chartFigure 16
Correlation analysis between neuroinflammatory marker levels and metabolite concentrations in the APPswe x PS1de9 mouse model, suggesting mechanistic links between inflammation and metabolic disruption.
chartFigure 17
Regional brain analysis comparing hippocampal and cortical neuroinflammatory profiles in the transgenic Alzheimer's model at an intermediate age time point.
chartFigure 18
Longitudinal tracking of specific metabolite ratios (such as NAA/Cr or myo-inositol/Cr) in the Alzheimer's transgenic mouse model, used as biomarkers of neuronal health and gliosis.
chartFigure 19
MRS (magnetic resonance spectroscopy) data from the Alzheimer's transgenic mouse brain, detecting metabolite ratios that reflect neuronal integrity and glial activation status.
chartFigure 20
Correlation analysis between neuroinflammatory marker levels and metabolite concentrations in the APPswe x PS1de9 mouse model, suggesting mechanistic links between inflammation and metabolic disruption.
chartFigure 21
Hippocampal tissue analysis from the APPswe x PS1de9 mouse model showing the relationship between amyloid deposition and local neuroinflammatory responses at a later disease stage.
micrographFigure 22
Quantitative comparison of inflammatory mediator expression between transgenic and wild-type mice at matched time points, highlighting the progressive nature of neuroinflammation in the Alzheimer's model.
chartFigure 23
Western blot or protein expression analysis of key neuroinflammatory pathway components from brain homogenates of the Alzheimer's transgenic mice across the longitudinal study.
chartFigure 24
Spatial distribution of neuroinflammatory markers in different brain regions of the APPswe x PS1de9 model, demonstrating region-specific vulnerability to Alzheimer's-related pathology.
micrographFigure 25
Hippocampal tissue analysis from the APPswe x PS1de9 mouse model showing the relationship between amyloid deposition and local neuroinflammatory responses at a later disease stage.
micrographFigure 26
Quantitative comparison of inflammatory mediator expression between transgenic and wild-type mice at matched time points, highlighting the progressive nature of neuroinflammation in the Alzheimer's model.
chartFigure 27
Western blot or protein expression analysis of key neuroinflammatory pathway components from brain homogenates of the Alzheimer's transgenic mice across the longitudinal study.
chartFigure 28
Spatial distribution of neuroinflammatory markers in different brain regions of the APPswe x PS1de9 model, demonstrating region-specific vulnerability to Alzheimer's-related pathology.
micrographFigure 29
Hippocampal tissue analysis from the APPswe x PS1de9 mouse model showing the relationship between amyloid deposition and local neuroinflammatory responses at a later disease stage.
micrographFigure 30
Quantitative comparison of inflammatory mediator expression between transgenic and wild-type mice at matched time points, highlighting the progressive nature of neuroinflammation in the Alzheimer's model.
chartFigure 31
Western blot or protein expression analysis of key neuroinflammatory pathway components from brain homogenates of the Alzheimer's transgenic mice across the longitudinal study.
chartFigure 32
Spatial distribution of neuroinflammatory markers in different brain regions of the APPswe x PS1de9 model, demonstrating region-specific vulnerability to Alzheimer's-related pathology.
micrographFigure 33
Late-stage metabolite profiling in the Alzheimer's transgenic mouse brain, showing pronounced neurochemical alterations compared to age-matched controls at the final time point.
chartFigure 34
Multivariate statistical analysis of combined neuroinflammatory and metabolic data from the longitudinal APPswe x PS1de9 study, identifying key biomarker signatures that differentiate transgenic from wild-type animals.
chartFigure 35
Summary heat map or correlation matrix integrating neuroinflammation and metabolite data across all time points in the Alzheimer's transgenic mouse model.
chartFigure 36
Late-stage metabolite profiling in the Alzheimer's transgenic mouse brain, showing pronounced neurochemical alterations compared to age-matched controls at the final time point.
chartFigure 37
Multivariate statistical analysis of combined neuroinflammatory and metabolic data from the longitudinal APPswe x PS1de9 study, identifying key biomarker signatures that differentiate transgenic from wild-type animals.
chartFigure 38
Summary heat map or correlation matrix integrating neuroinflammation and metabolite data across all time points in the Alzheimer's transgenic mouse model.
chartFigure 39
Late-stage metabolite profiling in the Alzheimer's transgenic mouse brain, showing pronounced neurochemical alterations compared to age-matched controls at the final time point.
chartFigure 40
Multivariate statistical analysis of combined neuroinflammatory and metabolic data from the longitudinal APPswe x PS1de9 study, identifying key biomarker signatures that differentiate transgenic from wild-type animals.
chartFigure 41
Summary heat map or correlation matrix integrating neuroinflammation and metabolite data across all time points in the Alzheimer's transgenic mouse model.
chartFigure 42
Late-stage metabolite profiling in the Alzheimer's transgenic mouse brain, showing pronounced neurochemical alterations compared to age-matched controls at the final time point.
chartFigure 43
Metabolite concentration profiles measured longitudinally in brain tissue of APPswe x PS1de9 transgenic Alzheimer's model mice. The data track neuroinflammatory and metabolic changes associated with disease progression.
chartFigure 44
Metabolite concentration profiles measured longitudinally in brain tissue of APPswe x PS1de9 transgenic Alzheimer's model mice. The data track neuroinflammatory and metabolic changes associated with disease progression.
chartFigure 45
Metabolite concentration profiles measured longitudinally in brain tissue of APPswe x PS1de9 transgenic Alzheimer's model mice. The data track neuroinflammatory and metabolic changes associated with disease progression.
chartFigure 46
Longitudinal metabolite analysis in the APPswe x PS1de9 transgenic mouse model of Alzheimer's disease, comparing metabolite levels across different age groups. These profiles indicate progressive neuroinflammatory changes in affected brain regions.
chartFigure 47
Longitudinal metabolite analysis in the APPswe x PS1de9 transgenic mouse model of Alzheimer's disease, comparing metabolite levels across different age groups. These profiles indicate progressive neuroinflammatory changes in affected brain regions.
chartFigure 48
Longitudinal metabolite analysis in the APPswe x PS1de9 transgenic mouse model of Alzheimer's disease, comparing metabolite levels across different age groups. These profiles indicate progressive neuroinflammatory changes in affected brain regions.
chartFigure 49
Longitudinal metabolite analysis in the APPswe x PS1de9 transgenic mouse model of Alzheimer's disease, comparing metabolite levels across different age groups. These profiles indicate progressive neuroinflammatory changes in affected brain regions.
chartFigure 50
Longitudinal metabolite analysis in the APPswe x PS1de9 transgenic mouse model of Alzheimer's disease, comparing metabolite levels across different age groups. These profiles indicate progressive neuroinflammatory changes in affected brain regions.
chartFigure 51
Longitudinal metabolite analysis in the APPswe x PS1de9 transgenic mouse model of Alzheimer's disease, comparing metabolite levels across different age groups. These profiles indicate progressive neuroinflammatory changes in affected brain regions.
chartFigure 52
Longitudinal metabolite analysis in the APPswe x PS1de9 transgenic mouse model of Alzheimer's disease, comparing metabolite levels across different age groups. These profiles indicate progressive neuroinflammatory changes in affected brain regions.
chartFigure 53
Longitudinal metabolite analysis in the APPswe x PS1de9 transgenic mouse model of Alzheimer's disease, comparing metabolite levels across different age groups. These profiles indicate progressive neuroinflammatory changes in affected brain regions.
chartFigure 54
Longitudinal metabolite analysis in the APPswe x PS1de9 transgenic mouse model of Alzheimer's disease, comparing metabolite levels across different age groups. These profiles indicate progressive neuroinflammatory changes in affected brain regions.
chartFigure 55
Longitudinal metabolite analysis in the APPswe x PS1de9 transgenic mouse model of Alzheimer's disease, comparing metabolite levels across different age groups. These profiles indicate progressive neuroinflammatory changes in affected brain regions.
chartFigure 56
Quantitative metabolite profiling data from brain tissue of Alzheimer's disease model mice, illustrating how specific metabolite concentrations shift over time. The longitudinal design captures the trajectory of neuroinflammation-related metabolic alterations.
chartFigure 57
Quantitative metabolite profiling data from brain tissue of Alzheimer's disease model mice, illustrating how specific metabolite concentrations shift over time. The longitudinal design captures the trajectory of neuroinflammation-related metabolic alterations.
chartFigure 58
Quantitative metabolite profiling data from brain tissue of Alzheimer's disease model mice, illustrating how specific metabolite concentrations shift over time. The longitudinal design captures the trajectory of neuroinflammation-related metabolic alterations.
chartFigure 59
Quantitative metabolite profiling data from brain tissue of Alzheimer's disease model mice, illustrating how specific metabolite concentrations shift over time. The longitudinal design captures the trajectory of neuroinflammation-related metabolic alterations.
chartFigure 60
Quantitative metabolite profiling data from brain tissue of Alzheimer's disease model mice, illustrating how specific metabolite concentrations shift over time. The longitudinal design captures the trajectory of neuroinflammation-related metabolic alterations.
chartFigure 61
Quantitative metabolite profiling data from brain tissue of Alzheimer's disease model mice, illustrating how specific metabolite concentrations shift over time. The longitudinal design captures the trajectory of neuroinflammation-related metabolic alterations.
chartFigure 62
Quantitative metabolite profiling data from brain tissue of Alzheimer's disease model mice, illustrating how specific metabolite concentrations shift over time. The longitudinal design captures the trajectory of neuroinflammation-related metabolic alterations.
chartFigure 63
Quantitative metabolite profiling data from brain tissue of Alzheimer's disease model mice, illustrating how specific metabolite concentrations shift over time. The longitudinal design captures the trajectory of neuroinflammation-related metabolic alterations.
chartFigure 64
Quantitative metabolite profiling data from brain tissue of Alzheimer's disease model mice, illustrating how specific metabolite concentrations shift over time. The longitudinal design captures the trajectory of neuroinflammation-related metabolic alterations.
chartFigure 65
Quantitative metabolite profiling data from brain tissue of Alzheimer's disease model mice, illustrating how specific metabolite concentrations shift over time. The longitudinal design captures the trajectory of neuroinflammation-related metabolic alterations.
chartFigure 66
Brain metabolite measurements from APPswe x PS1de9 transgenic mice at multiple time points, providing evidence for progressive metabolic disruption linked to neuroinflammation. The data suggest region-specific vulnerability in this Alzheimer's disease model.
chartFigure 67
Brain metabolite measurements from APPswe x PS1de9 transgenic mice at multiple time points, providing evidence for progressive metabolic disruption linked to neuroinflammation. The data suggest region-specific vulnerability in this Alzheimer's disease model.
chartFigure 68
Brain metabolite measurements from APPswe x PS1de9 transgenic mice at multiple time points, providing evidence for progressive metabolic disruption linked to neuroinflammation. The data suggest region-specific vulnerability in this Alzheimer's disease model.
chartFigure 69
Brain metabolite measurements from APPswe x PS1de9 transgenic mice at multiple time points, providing evidence for progressive metabolic disruption linked to neuroinflammation. The data suggest region-specific vulnerability in this Alzheimer's disease model.
chartFigure 70
Brain metabolite measurements from APPswe x PS1de9 transgenic mice at multiple time points, providing evidence for progressive metabolic disruption linked to neuroinflammation. The data suggest region-specific vulnerability in this Alzheimer's disease model.
chartFigure 71
Brain metabolite measurements from APPswe x PS1de9 transgenic mice at multiple time points, providing evidence for progressive metabolic disruption linked to neuroinflammation. The data suggest region-specific vulnerability in this Alzheimer's disease model.
chartFigure 72
Brain metabolite measurements from APPswe x PS1de9 transgenic mice at multiple time points, providing evidence for progressive metabolic disruption linked to neuroinflammation. The data suggest region-specific vulnerability in this Alzheimer's disease model.
chartFigure 73
Brain metabolite measurements from APPswe x PS1de9 transgenic mice at multiple time points, providing evidence for progressive metabolic disruption linked to neuroinflammation. The data suggest region-specific vulnerability in this Alzheimer's disease model.
chartFigure 74
Brain metabolite measurements from APPswe x PS1de9 transgenic mice at multiple time points, providing evidence for progressive metabolic disruption linked to neuroinflammation. The data suggest region-specific vulnerability in this Alzheimer's disease model.
chartFigure 75
Brain metabolite measurements from APPswe x PS1de9 transgenic mice at multiple time points, providing evidence for progressive metabolic disruption linked to neuroinflammation. The data suggest region-specific vulnerability in this Alzheimer's disease model.
chartFigure 76
Longitudinal metabolite concentration data from the APPswe x PS1de9 Alzheimer's mouse model, revealing time-dependent changes in brain metabolic profiles. These measurements support the association between neuroinflammation and metabolic dysregulation.
chartFigure 77
Longitudinal metabolite concentration data from the APPswe x PS1de9 Alzheimer's mouse model, revealing time-dependent changes in brain metabolic profiles. These measurements support the association between neuroinflammation and metabolic dysregulation.
chartFigure 78
Longitudinal metabolite concentration data from the APPswe x PS1de9 Alzheimer's mouse model, revealing time-dependent changes in brain metabolic profiles. These measurements support the association between neuroinflammation and metabolic dysregulation.
chartFigure 79
Longitudinal metabolite concentration data from the APPswe x PS1de9 Alzheimer's mouse model, revealing time-dependent changes in brain metabolic profiles. These measurements support the association between neuroinflammation and metabolic dysregulation.
chartFigure 80
Longitudinal metabolite concentration data from the APPswe x PS1de9 Alzheimer's mouse model, revealing time-dependent changes in brain metabolic profiles. These measurements support the association between neuroinflammation and metabolic dysregulation.
chartFigure 81
Longitudinal metabolite concentration data from the APPswe x PS1de9 Alzheimer's mouse model, revealing time-dependent changes in brain metabolic profiles. These measurements support the association between neuroinflammation and metabolic dysregulation.
chartFigure 82
Longitudinal metabolite concentration data from the APPswe x PS1de9 Alzheimer's mouse model, revealing time-dependent changes in brain metabolic profiles. These measurements support the association between neuroinflammation and metabolic dysregulation.
chartFigure 83
Longitudinal metabolite concentration data from the APPswe x PS1de9 Alzheimer's mouse model, revealing time-dependent changes in brain metabolic profiles. These measurements support the association between neuroinflammation and metabolic dysregulation.
chartFigure 84
Longitudinal metabolite concentration data from the APPswe x PS1de9 Alzheimer's mouse model, revealing time-dependent changes in brain metabolic profiles. These measurements support the association between neuroinflammation and metabolic dysregulation.
chartFigure 85
Longitudinal metabolite concentration data from the APPswe x PS1de9 Alzheimer's mouse model, revealing time-dependent changes in brain metabolic profiles. These measurements support the association between neuroinflammation and metabolic dysregulation.
chartFigure 86
Supplementary metabolite profiling data from brain regions of APPswe x PS1de9 transgenic Alzheimer's mice. The extended longitudinal dataset captures the full trajectory of neuroinflammatory metabolic perturbations across the disease course.
chartFigure 87
Supplementary metabolite profiling data from brain regions of APPswe x PS1de9 transgenic Alzheimer's mice. The extended longitudinal dataset captures the full trajectory of neuroinflammatory metabolic perturbations across the disease course.
chartFigure 88
Supplementary metabolite profiling data from brain regions of APPswe x PS1de9 transgenic Alzheimer's mice. The extended longitudinal dataset captures the full trajectory of neuroinflammatory metabolic perturbations across the disease course.
chartFigure 89
Supplementary metabolite profiling data from brain regions of APPswe x PS1de9 transgenic Alzheimer's mice. The extended longitudinal dataset captures the full trajectory of neuroinflammatory metabolic perturbations across the disease course.
chartFigure 90
Supplementary metabolite profiling data from brain regions of APPswe x PS1de9 transgenic Alzheimer's mice. The extended longitudinal dataset captures the full trajectory of neuroinflammatory metabolic perturbations across the disease course.
chartFigure 91
Supplementary metabolite profiling data from brain regions of APPswe x PS1de9 transgenic Alzheimer's mice. The extended longitudinal dataset captures the full trajectory of neuroinflammatory metabolic perturbations across the disease course.
chartFigure 92
Supplementary metabolite profiling data from brain regions of APPswe x PS1de9 transgenic Alzheimer's mice. The extended longitudinal dataset captures the full trajectory of neuroinflammatory metabolic perturbations across the disease course.
chartFigure 93
Supplementary metabolite profiling data from brain regions of APPswe x PS1de9 transgenic Alzheimer's mice. The extended longitudinal dataset captures the full trajectory of neuroinflammatory metabolic perturbations across the disease course.
chartFigure 94
Supplementary metabolite profiling data from brain regions of APPswe x PS1de9 transgenic Alzheimer's mice. The extended longitudinal dataset captures the full trajectory of neuroinflammatory metabolic perturbations across the disease course.
chartFigure 95
Supplementary metabolite profiling data from brain regions of APPswe x PS1de9 transgenic Alzheimer's mice. The extended longitudinal dataset captures the full trajectory of neuroinflammatory metabolic perturbations across the disease course.
chartFigure 96
Supplementary metabolite profiling data from brain regions of APPswe x PS1de9 transgenic Alzheimer's mice. The extended longitudinal dataset captures the full trajectory of neuroinflammatory metabolic perturbations across the disease course.
chartFigure 97
Supplementary metabolite profiling data from brain regions of APPswe x PS1de9 transgenic Alzheimer's mice. The extended longitudinal dataset captures the full trajectory of neuroinflammatory metabolic perturbations across the disease course.
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