Abstract/Journal Article DZNE-2025-01487

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Cell-Type Specific Contributions to Metabolic Connectivity in an Alzheimer’s Disease Mouse Model

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2025

Alzheimer’s Association International Conference, AAIC 25, TorontoToronto, Canada, 27 Jul 2025 - 31 Jul 20252025-07-272025-07-31 Alzheimer's and dementia 21(Suppl 8), e109909 () [10.1002/alz70862_109909]

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Abstract: The integration of molecular imaging and multivariate connectivity approaches has emerged as a novel approach to gain insights into the underlying pathophysiology in neurodegenerative diseases. Metabolic connectivity, in particular, has already demonstrated disease-related pattern changes in both human and mammalian brains. However, the cellular sources of disconnected brain regions have not been investigated in detail. This study aimed to elucidate the driving cellular sources of metabolic connectivity in an Alzheimer's disease (AD) mouse model and wild-type mice (WT).After intravenous injection of 45MBq F-18-FDG, a static PET/MRI was performed on APPNL-G-F and age- and sex-matched WT controls to obtain maps of regional FDG uptake and metabolic connectivity. To calculate the inter-regional correlations for metabolic connectivity, 26 delineated brain regions were used, resulting in a 26 × 26 matrix of Pearson's correlation coefficient pairs. Subsequently, the brain was extracted and separated into fore- and hindbrain to achieve region-specific isolation of microglia, astrocytes, oligodendrocytes, and neurons. The radioactivity of each cell fraction was measured to quantify the cell-specific FDG-uptake (Figure 1D).APPNL-G-F mice demonstrated higher FDG uptake compared to WT, along with a significantly increased metabolic connectivity between fore- and hindbrain (Figure 1A-C). Among all cell types, microglial exhibited the highest single-cell FDG uptake, in both mouse models (Figure 1E). In APPNL-G-F mice, microglia, astrocytes, and oligodendrocytes displayed increased FDG uptake, while neurons exhibited reduced uptake compared to WT. The correlation between forebrain and hindbrain cellular FDG uptake was significant across all cell types in the APPNL-G-F model (microglia r=0.89, p = 0.0006; astrocytes r=0.65, p = 0.042; oligodendrocytes r=0.77, p = 0.025 and neurons r=0.51, p = 0.005). In contrast, WT mice did not exhibit any significant correlation in single-cell uptake between forebrain and hindbrain. Notably, region-specific microglial FDG uptake correlated significantly with respective FDG-PET signals in APPNL-G-F mice (forebrain r=0.89, p = 0.007; hindbrain r=0.8, p = 0.014), whereas no significant correlation was observed for other cell types.These findings suggest that microglia are the primary drivers of the increased forebrain-hindbrain metabolic connectivity observed in the AD mouse model. Further RNA expression analyses could provide valuable insights into the molecular mechanisms underlying microglial metabolic coupling in neurodegeneration.

Keyword(s): Animals (MeSH) ; Alzheimer Disease: diagnostic imaging (MeSH) ; Alzheimer Disease: metabolism (MeSH) ; Alzheimer Disease: pathology (MeSH) ; Positron-Emission Tomography (MeSH) ; Mice (MeSH) ; Brain: diagnostic imaging (MeSH) ; Brain: metabolism (MeSH) ; Brain: pathology (MeSH) ; Disease Models, Animal (MeSH) ; Fluorodeoxyglucose F18 (MeSH) ; Magnetic Resonance Imaging (MeSH) ; Mice, Transgenic (MeSH) ; Male (MeSH) ; Female (MeSH) ; Microglia: metabolism (MeSH) ; Neurons: metabolism (MeSH) ; Astrocytes: metabolism (MeSH) ; Radiopharmaceuticals (MeSH) ; Fluorodeoxyglucose F18 ; Radiopharmaceuticals

Classification:

Contributing Institute(s):
  1. Molecular Neurodegeneration (AG Haass)
  2. Juvenile Neurodegeneration (AG Tahirovic)
Research Program(s):
  1. 352 - Disease Mechanisms (POF4-352) (POF4-352)

Appears in the scientific report 2025
Database coverage:
Medline ; Creative Commons Attribution CC BY 4.0 ; OpenAccess ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; DEAL Wiley ; Essential Science Indicators ; IF >= 10 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Document types > Articles > Journal Article
Document types > Presentations > Abstracts
Institute Collections > M DZNE > M DZNE-AG Tahirovic
Institute Collections > M DZNE > M DZNE-AG Haass
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 Record created 2025-12-30, last modified 2025-12-31


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