Towards multicenter ß-amyloid PET imaging in mouse models: A triple scanner head-to-head comparison.

AIM: ß-amyloid (Aß) small animal PET facilitates quantification of fibrillar amyloidosis in Alzheimer's disease (AD) mouse models. Thus, the methodology is receiving growing interest as a monitoring tool in preclinical drug trials. In this regard, harmonization of data from different scanners at multiple sites would allow the establishment large collaborative cohorts and may facilitate efficacy comparison of different treatments. Therefore, we objected to determine the level of agreement of Aß-PET quantification by a head-to-head comparison of three different state-of-the-art small animal PET scanners, which could help pave the way for future multicenter studies. METHODS: Within a timeframe of 5 ± 2 weeks, transgenic APPPS1 (n = 9) and wild-type (WT) (n = 8) mice (age range: 13-16 months) were examined three times by Aß-PET ([18F]florbetaben) using a Siemens Inveon DPET, a MedisonanoScan PET/MR, and a MedisonanoScan PET/CT with harmonized reconstruction protocols. Cortex-to-white-matter 30-60 min p.i. standardized uptake value ratios (SUVRCTX/WM) were calculated to compare binding differences, effect sizes (Cohen's d) and z-score values of APPPS1 relative to WT mice. Correlation coefficients (Pearson's r) were calculated for the agreement of individual SUVR between different scanners. Voxel-wise analysis was used to determine the agreement of spatial pathology patterns. For validation of PET imaging against the histological gold standard, individual SUVR values were subject to a correlation analysis with area occupancy of methoxy­X04 staining. RESULTS: All three small animal PET scanners yielded comparable group differences between APPPS1 and WT mice (∆PET=20.4 % ± 2.9 %, ∆PET/MR=18.4 % ± 4.5 %, ∆PET/CT=18.1 % ± 3.3 %). Voxel-wise analysis confirmed a high degree of congruency of the spatial pattern (Dice coefficient (DC)PETvs.PET/MR=83.0 %, DCPETvs.PET/CT=69.3 %, DCPET/MRvs.PET/CT=81.9 %). Differences in the group level variance of the three scanners resulted in divergent z-scores (zPET=11.5 ± 1.6; zPET/MR=5.3 ± 1.3; zPET/CT=3.4 ± 0.6) and effect sizes (dPET=8.5, dPET/MR=4.5, dPET/CT=4.1). However, correlations at the individual mouse level were still strong between scanners (rPETvs.PET/MR=0.96, rPETvs.PET/CT=0.91, rPET/MRvs.PET/CT=0.87; all p ≤ 0.0001). Methoxy-X04 staining exhibited a significant correlation across all three PET machines combined (r = 0.76, p < 0.0001) but also at individual level (PET: r = 0.81, p = 0.026; PET/MR: r = 0.89, p = 0.0074; PET/CT: r = 0.93, p = 0.0028). CONCLUSIONS: Our comparison of standardized small animal Aß-PET acquired by three different scanners substantiates the possibility of moving towards a multicentric approach in preclinical AD research. The alignment of image acquisition and analysis methods achieved good overall comparability between data sets. Nevertheless, differences in variance of sensitivity and specificity of different scanners may limit data interpretation at the individual mouse level and deserves methodological optimization.

Validity and value of metabolic connectivity in mouse models of ß-amyloid and tauopathy.

Among functional imaging methods, metabolic connectivity (MC) is increasingly used for investigation of regional network changes to examine the pathophysiology of neurodegenerative diseases such as Alzheimer's disease (AD) or movement disorders. Hitherto, MC was mostly used in clinical studies, but only a few studies demonstrated the usefulness of MC in the rodent brain. The goal of the current work was to analyze and validate metabolic regional network alterations in three different mouse models of neurodegenerative diseases (ß-amyloid and tau) by use of 2-deoxy-2-[18F]fluoro-d-glucose positron emission tomography (FDG-PET) imaging. We compared the results of FDG-µPET MC with conventional VOI-based analysis and behavioral assessment in the Morris water maze (MWM). The impact of awake versus anesthesia conditions on MC read-outs was studied and the robustness of MC data deriving from different scanners was tested. MC proved to be an accurate and robust indicator of functional connectivity loss when sample sizes ≥12 were considered. MC readouts were robust across scanners and in awake/ anesthesia conditions. MC loss was observed throughout all brain regions in tauopathy mice, whereas ß-amyloid indicated MC loss mainly in spatial learning areas and subcortical networks. This study established a methodological basis for the utilization of MC in different ß-amyloid and tau mouse models. MC has the potential to serve as a read-out of pathological changes within neuronal networks in these models.

Proliferation and apoptosis after whole-body irradiation: longitudinal PET study in a mouse model.

PURPOSE: A reliable method for regional in vivo imaging of radiation-induced cellular damage would be of great importance for the detection of therapy-induced injury to healthy tissue and the choice of adequate treatment of radiation emergency patients in both civilian and military events. This study aimed to investigate in a mouse model if positron emission tomography (PET) imaging with proliferation and apoptosis markers is potentially suitable for this purpose. METHODS: Four groups, including twenty mice (wild-type C57BL/6) each, were whole-body irradiated with 0 Gy, 0.5 Gy, 1 Gy, and 3 Gy and examined by PET over a six-month period at defined time points. 3'-[18F]fluoro-3'-deoxythymidine ([18F]FLT) and 2-(5-[18F]fluoropentyl)-2-methyl malonic acid ([18F]ML-10) were used to visualise proliferation and apoptosis. Regional standard uptake values were compared with respect to irradiation dose over time. Histologic data and peripheral blood cell values were correlated with the PET results. RESULTS: The hematopoietic bone marrow showed a significantly increased [18F]FLT signal at early time points after radiation exposure (day 3 and day 7). This correlated with blood parameters, especially leukocytes, and histological data. A significantly increased [18F]FLT signal also occurred in the gastrointestinal tract and thymus at early time points. An increased [18F]ML-10 signal related to irradiation doses was observed in the bone marrow on day 8, but there was a high variability of standard uptake values and no correlation with histological data. CONCLUSION: [18F]FLT showed potential to visualise the extent, regional distribution and recovery from radiation-induced cellular damage in the bone marrow, gastrointestinal tract and thymus. The potential of [18F]FLT imaging to assess the extent of bone marrow affected by irradiation might be especially useful to predict the subsequent severity of hematopoietic impairment and to adapt the therapy of the bone marrow reserve. [18F]ML-10 PET proved to be not sensitive enough for the reliable detection of radiation induced apoptosis.

Chronic PPARγ Stimulation Shifts Amyloidosis to Higher Fibrillarity but Improves Cognition.

We undertook longitudinal ß-amyloid positron emission tomography (Aß-PET) imaging as a translational tool for monitoring of chronic treatment with the peroxisome proliferator-activated receptor gamma (PPARγ) agonist pioglitazone in Aß model mice. We thus tested the hypothesis this treatment would rescue from increases of the Aß-PET signal while promoting spatial learning and preservation of synaptic density. Here, we investigated longitudinally for 5 months PS2APP mice (N = 23; baseline age: 8 months) and App NL-G-F mice (N = 37; baseline age: 5 months) using Aß-PET. Groups of mice were treated with pioglitazone or vehicle during the follow-up interval. We tested spatial memory performance and confirmed terminal PET findings by immunohistochemical and biochemistry analyses. Surprisingly, Aß-PET and immunohistochemistry revealed a shift toward higher fibrillary composition of Aß-plaques during upon chronic pioglitazone treatment. Nonetheless, synaptic density and spatial learning were improved in transgenic mice with pioglitazone treatment, in association with the increased plaque fibrillarity. These translational data suggest that a shift toward higher plaque fibrillarity protects cognitive function and brain integrity. Increases in the Aß-PET signal upon immunomodulatory treatments targeting Aß aggregation can thus be protective.

Glitter in the Darkness? Nonfibrillar ß-Amyloid Plaque Components Significantly Impact the ß-Amyloid PET Signal in Mouse Models of Alzheimer Disease.

ß-amyloid (Aß) PET is an important tool for quantification of amyloidosis in the brain of suspected Alzheimer disease (AD) patients and transgenic AD mouse models. Despite the excellent correlation of Aß PET with gold standard immunohistochemical assessments, the relative contributions of fibrillar and nonfibrillar Aß components to the in vivo Aß PET signal remain unclear. Thus, we obtained 2 murine cerebral amyloidosis models that present with distinct Aß plaque compositions and performed regression analysis between immunohistochemistry and Aß PET to determine the biochemical contributions to Aß PET signal in vivo. Methods: We investigated groups of AppNL-G-F and APPPS1 mice at 3, 6, and 12 mo of age by longitudinal 18F-florbetaben Aß PET and with immunohistochemical analysis of the fibrillar and total Aß burdens. We then applied group-level intermodality regression models using age- and genotype-matched sets of fibrillar and nonfibrillar Aß data (predictors) and Aß PET results (outcome) for both Aß mouse models. An independent group of double-hit APPPS1 mice with dysfunctional microglia due to knockout of triggering receptor expression on myeloid cells 2 (Trem2-/-) served for validation and evaluation of translational impact. Results: Neither fibrillar nor nonfibrillar Aß content alone sufficed to explain the Aß PET findings in either AD model. However, a regression model compiling fibrillar and nonfibrillar Aß together with the estimate of individual heterogeneity and age at scanning could explain a 93% of variance of the Aß PET signal (P < 0.001). Fibrillar Aß burden had a 16-fold higher contribution to the Aß PET signal than nonfibrillar Aß. However, given the relatively greater abundance of nonfibrillar Aß, we estimate that nonfibrillar Aß produced 79% ± 25% of the net in vivo Aß PET signal in AppNL-G-F mice and 25% ± 12% in APPPS1 mice. Corresponding results in separate groups of APPPS1/Trem2-/- and APPPS1/Trem2+/+ mice validated the calculated regression factors and revealed that the altered fibrillarity due to Trem2 knockout impacts the Aß PET signal. Conclusion: Taken together, the in vivo Aß PET signal derives from the composite of fibrillar and nonfibrillar Aß plaque components. Although fibrillar Aß has inherently higher PET tracer binding, the greater abundance of nonfibrillar Aß plaque in AD-model mice contributes importantly to the PET signal.

Glial activation is moderated by sex in response to amyloidosis but not to tau pathology in mouse models of neurodegenerative diseases.

BACKGROUND: In vivo assessment of neuroinflammation by 18-kDa translocator protein positron-emission-tomography (TSPO-PET) ligands receives growing interest in preclinical and clinical research of neurodegenerative disorders. Higher TSPO-PET binding as a surrogate for microglial activation in females has been reported for cognitively normal humans, but such effects have not yet been evaluated in rodent models of neurodegeneration and their controls. Thus, we aimed to investigate the impact of sex on microglial activation in amyloid and tau mouse models and wild-type controls. METHODS: TSPO-PET (18F-GE-180) data of C57Bl/6 (wild-type), AppNL-G-F (ß-amyloid model), and P301S (tau model) mice was assessed longitudinally between 2 and 12 months of age. The AppNL-G-F group also underwent longitudinal ß-amyloid-PET imaging (Aß-PET; 18F-florbetaben). PET results were confirmed and validated by immunohistochemical investigation of microglial (Iba-1, CD68), astrocytic (GFAP), and tau (AT8) markers. Findings in cerebral cortex were compared by sex using linear mixed models for PET data and analysis of variance for immunohistochemistry. RESULTS: Wild-type mice showed an increased TSPO-PET signal over time (female +23%, male +4%), with a significant sex × age interaction (T = - 4.171, p < 0.001). The Aß model AppNL-G-F mice also showed a significant sex × age interaction (T = - 2.953, p = 0.0048), where cortical TSPO-PET values increased by 31% in female AppNL-G-F mice, versus only 6% in the male mice group from 2.5 to 10 months of age. Immunohistochemistry for the microglial markers Iba-1 and CD68 confirmed the TSPO-PET findings in male and female mice aged 10 months. Aß-PET in the same AppNL-G-F mice indicated no significant sex × age interaction (T = 0.425, p = 0.673). The P301S tau model showed strong cortical increases of TSPO-PET from 2 to 8.5 months of age (female + 32%, male + 36%), without any significant sex × age interaction (T = - 0.671, p = 0.504), and no sex differences in Iba-1, CD68, or AT8 immunohistochemistry. CONCLUSION: Female mice indicate sex-dependent microglia activation in aging and in response to amyloidosis but not in response to tau pathology. This calls for consideration of sex difference in TSPO-PET studies of microglial activation in mouse models of neurodegeneration and by extension in human studies.

Asymmetry of Fibrillar Plaque Burden in Amyloid Mouse Models.

Asymmetries of amyloid-ß (Aß) burden are well known in Alzheimer disease (AD) but did not receive attention in Aß mouse models of Alzheimer disease. Therefore, we investigated Aß asymmetries in Aß mouse models examined by Aß small-animal PET and tested if such asymmetries have an association with microglial activation. Methods: We analyzed 523 cross-sectional Aß PET scans of 5 different Aß mouse models (APP/PS1, PS2APP, APP-SL70, AppNL-G-F , and APPswe) together with 136 18-kDa translocator protein (TSPO) PET scans for microglial activation. The asymmetry index (AI) was calculated between tracer uptake in both hemispheres. AIs of Aß PET were analyzed in correlation with TSPO PET AIs. Extrapolated required sample sizes were compared between analyses of single and combined hemispheres. Results: Relevant asymmetries of Aß deposition were identified in at least 30% of all investigated mice. There was a significant correlation between AIs of Aß PET and TSPO PET in 4 investigated Aß mouse models (APP/PS1: R = 0.593, P = 0.001; PS2APP: R = 0.485, P = 0.019; APP-SL70: R = 0.410, P = 0.037; AppNL-G-F : R = 0.385, P = 0.002). Asymmetry was associated with higher variance of tracer uptake in single hemispheres, leading to higher required sample sizes. Conclusion: Asymmetry of fibrillar plaque neuropathology occurs frequently in Aß mouse models and acts as a potential confounder in experimental designs. Concomitant asymmetry of microglial activation indicates a neuroinflammatory component to hemispheric predominance of fibrillary amyloidosis.

Longitudinal PET Monitoring of Amyloidosis and Microglial Activation in a Second-Generation Amyloid-ß Mouse Model.

Nonphysiologic overexpression of amyloid-ß (Aß) precursor protein in common transgenic Aß mouse models of Alzheimer disease likely hampers their translational potential. The novel AppNL-G-F mouse incorporates a mutated knock-in, potentially presenting an improved model of Alzheimer disease for Aß-targeting treatment trials. We aimed to establish serial small-animal PET of amyloidosis and neuroinflammation in AppNL-G-F mice as a tool for therapy monitoring. Methods:AppNL-G-F mice (20 homozygous and 21 heterogeneous) and 12 age-matched wild-type mice were investigated longitudinally from 2.5 to 10 mo of age with 18F-florbetaben Aß PET and 18F-GE-180 18-kDa translocator protein (TSPO) PET. Voxelwise analysis of SUV ratio images was performed using statistical parametric mapping. All mice underwent a Morris water maze test of spatial learning after their final scan. Quantification of fibrillar Aß and activated microglia by immunohistochemistry and biochemistry served for validation of the PET results. Results: The periaqueductal gray emerged as a suitable pseudo reference tissue for both tracers. Homozygous AppNL-G-F mice had a rising SUV ratio in cortex and hippocampus for Aß (+9.1%, +3.8%) and TSPO (+19.8%, +14.2%) PET from 2.5 to 10 mo of age (all P < 0.05), whereas heterozygous AppNL-G-F mice did not show significant changes with age. Significant voxelwise clusters of Aß deposition and microglial activation in homozygous mice appeared at 5 mo of age. Immunohistochemical and biochemical findings correlated strongly with the PET data. Water maze escape latency was significantly elevated in homozygous AppNL-G-F mice compared with wild-type at 10 mo of age and was associated with high TSPO binding. Conclusion: Longitudinal PET in AppNL-G-F knock-in mice enables monitoring of amyloidogenesis and neuroinflammation in homozygous mice but is insensitive to minor changes in heterozygous animals. The combination of PET with behavioral tasks in AppNL-G-F treatment trials is poised to provide important insights in preclinical drug development.

Early and Longitudinal Microglial Activation but Not Amyloid Accumulation Predicts Cognitive Outcome in PS2APP Mice.

Neuroinflammation may have beneficial or detrimental net effects on the cognitive outcome of Alzheimer disease (AD) patients. PET imaging with 18-kDa translocator protein (TSPO) enables longitudinal monitoring of microglial activation in vivo. Methods: We compiled serial PET measures of TSPO and amyloid with terminal cognitive assessment (water maze) in an AD transgenic mouse model (PS2APP) from 8 to 13 mo of age, followed by immunohistochemical analyses of microglia, amyloid, and synaptic density. Results: Better cognitive outcome and higher synaptic density in PS2APP mice was predicted by higher TSPO expression at 8 mo. The progression of TSPO activation to 13 mo also showed a moderate association with spared cognition, but amyloidosis did not correlate with the cognitive outcome, regardless of the time point. Conclusion: This first PET investigation with longitudinal TSPO and amyloid PET together with terminal cognitive testing in an AD mouse model indicates that continuing microglial response seems to impart preserved cognitive performance.

Microglial response to increasing amyloid load saturates with aging: a longitudinal dual tracer in vivo µPET-study.

BACKGROUND: Causal associations between microglia activation and ß-amyloid (Aß) accumulation during the progression of Alzheimer's disease (AD) remain a matter of controversy. Therefore, we used longitudinal dual tracer in vivo small animal positron emission tomography (µPET) imaging to resolve the progression of the association between Aß deposition and microglial responses during aging of an Aß mouse model. METHODS: APP-SL70 mice (N = 17; baseline age 3.2-8.5 months) and age-matched C57Bl/6 controls (wildtype (wt)) were investigated longitudinally for 6 months using Aß (18F-florbetaben) and 18 kDa translocator protein (TSPO) µPET (18F-GE180). Changes in cortical binding were transformed to Z-scores relative to wt mice, and microglial activation relative to amyloidosis was defined as the Z-score difference (TSPO-Aß). Using 3D immunohistochemistry for activated microglia (Iba-1) and histology for fibrillary Aß (methoxy-X04), we measure microglial brain fraction relative to plaque size and the distance from plaque margins. RESULTS: Aß-PET binding increased exponentially as a function of age in APP-SL70 mice, whereas TSPO binding had an inverse U-shape growth function. Longitudinal Z-score differences declined with aging, suggesting that microglial response declined relative to increasing amyloidosis in aging APP-SL70 mice. Microglial brain volume fraction was inversely related to adjacent plaque size, while the proximity to Aß plaques increased with age. CONCLUSIONS: Microglial activity decreases relative to ongoing amyloidosis with aging in APP-SL70 mice. The plaque-associated microglial brain fraction saturated and correlated negatively with increasing plaque size with aging.