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Glial Activation and Glucose Metabolism in a Transgenic Amyloid Mouse Model: A Triple-Tracer PET Study
Matthias Brendel1, Federico Probst1, Anna Jaworska2
1Department of Nuclear Medicine, Ludwig-Maximilians-University of Munich, Munich, Germany.
Unlabelled:
Amyloid imaging by small-animal PET in models of Alzheimer disease (AD) offers the possibility to track amyloidogenesis and brain energy metabolism. Because microglial activation is thought to contribute to AD pathology, we undertook a triple-tracer small-animal PET study to assess microglial activation and glucose metabolism in association with amyloid plaque load in a transgenic AD mouse model.
Methods:
Groups of PS2APP and C57BL/6 wild-type mice of various ages were examined by small-animal PET. We acquired 90-min dynamic emission data with (18)F-GE180 for imaging activated microglia (18-kD translocator protein ligand [TSPO]) and static 30- to 60-min recordings with (18)F-FDG for energy metabolism and (18)F-florbetaben for amyloidosis. Optimal fusion of PET data was obtained through automatic nonlinear spatial normalization, and SUVRs were calculated. For the novel TSPO tracer (18)F-GE180, we then calculated distribution volume ratios after establishing a suitable reference region. Immunohistochemical analyses with TSPO antisera, methoxy-X04 staining for fibrillary β-amyloid, and ex vivo autoradiography served as terminal gold standard assessments.
Results:
SUVR at 60-90 min after injection gave robust quantitation of (18)F-GE180, which correlated well with distribution volume ratios calculated from the entire recording and using a white matter reference region. Relative to age-matched wild-type, (18)F-GE180 SUVR was slightly elevated in PS2APP mice at 5 mo (+9%; P < 0.01) and distinctly increased at 16 mo (+25%; P < 0.001). Over this age range, there was a high positive correlation between small-animal PET findings of microglial activation with amyloid load (R = 0.85; P < 0.001) and likewise with metabolism (R = 0.61; P < 0.005). Immunohistochemical and autoradiographic findings confirmed the in vivo small-animal PET data.
Conclusion:
In this first triple-tracer small-animal PET in a well-established AD mouse model, we found evidence for age-dependent microglial activation. This activation, correlating positively with the amyloid load, implies a relationship between amyloidosis and inflammation in the PS2APP AD mouse model.
Insights
This study used triple-tracer small-animal PET to show age-dependent microglial activation in an Alzheimer
Area of Science:
- Neuroscience
- Medical Imaging
- Biochemistry
Background:
- Alzheimer disease (AD) pathology involves amyloid plaques and microglial activation.
- Small-animal PET imaging can track amyloidogenesis and brain metabolism.
- Microglial activation is a key factor in AD pathogenesis.
Purpose of the Study:
- To assess microglial activation, glucose metabolism, and amyloid plaque load in a transgenic AD mouse model using triple-tracer small-animal PET.
- To investigate the relationship between microglial activation, amyloidosis, and brain metabolism in AD.
- To validate in vivo PET findings with ex vivo analyses.
Main Methods:
- Utilized triple-tracer small-animal PET with (18)F-GE180 (TSPO ligand), (18)F-FDG (metabolism), and (18)F-florbetaben (amyloidosis) in PS2APP and wild-type mice.
- Acquired dynamic and static PET data, performed nonlinear spatial normalization, and calculated standardized uptake value ratios (SUVRs).
- Conducted immunohistochemistry and autoradiography for terminal validation.
Main Results:
- Small-animal PET demonstrated age-dependent increases in microglial activation ( (18)F-GE180 SUVR) in PS2APP mice.
- Microglial activation showed a strong positive correlation with amyloid load (R = 0.85) and metabolism (R = 0.61).
- In vivo PET findings were confirmed by ex vivo immunohistochemical and autoradiographic analyses.
Conclusions:
- The study provides the first evidence of age-dependent microglial activation in a well-established AD mouse model using triple-tracer PET.
- Findings suggest a positive correlation between amyloidosis and neuroinflammation in this AD model.
- This approach offers a powerful tool for studying AD pathogenesis and evaluating potential therapies.
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