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.

Feasibility of radiomic feature harmonization for pooling of [18F]FET or [18F]GE-180 PET images of gliomas.

INTRODUCTION: Large datasets are required to ensure reliable non-invasive glioma assessment with radiomics-based machine learning methods. This can often only be achieved by pooling images from different centers. Moreover, trained models should perform with high accuracy when applied to data from different centers. In this study, the impact of reconstruction settings and segmentation methods on radiomic features derived from amino acid and TSPO PET images of glioma patients was examined. Additionally, the ability to model and thus reduce feature differences was investigated. METHODS: [18F]FET and [18F]GE-180 PET data were acquired from 19 glioma patients. For each acquisition, 10 reconstruction settings and 9 segmentation methods were included to emulate multicentric data. Statistical robustness measures were calculated before and after ComBat harmonization. Differences between features due to setting variations were assessed using Friedman test, coefficient of variation (CV) and inter-rater reliability measures, including intraclass and Spearman's rank correlation coefficients and Fleiss' Kappa. RESULTS: According to Friedman analyses, most features (>60%) showed significant differences. Yet, CV and inter-rater reliability measures indicated higher robustness. ComBat resulted in almost complete harmonization (>87%) according to Friedman test and little to no improvement according to CV and inter-rater reliability measures. [18F]GE-180 features were more sensitive to reconstruction settings than [18F]FET features. CONCLUSIONS: According to Friedman test, feature distributions could be successfully aligned using ComBat. However, depending on settings, changes in patient ranks were observed for some features and could not be eliminated by harmonization. Thus, for clinical utilization it is recommended to exclude affected features.

(124)I-PET Assessment of Human Sodium Iodide Symporter Reporter Gene Activity for Highly Sensitive In Vivo Monitoring of Teratoma Formation in Mice.

PURPOSE: Pluripotent stem cell (PSC)-based therapies possess great potential to restore the function of irreversibly damaged organs. PSCs can be differentiated in vitro into any cell type. However, pluripotent potential bears the risk of teratoma formation. In vivo monitoring of teratoma formation is indispensable, as 100 % purity of the cell preparation cannot be achieved. We aimed at establishing the human sodium iodide symporter (hNIS) as reporter gene for PET monitoring of teratoma formation. PROCEDURES: Murine PSC stably expressing hNIS were injected into the hind limbs of SCID mice to induce teratoma formation. Positron emission tomography (PET) scans were acquired weekly between days 14 and 42 after transplantation. Two teratomas were excised at each time point for histology and size measurement. Tracer uptake was correlated with teratoma weight. Specificity of tumoural iodine uptake was assessed by blocking hNIS in vivo with perchlorate. RESULTS: Neither hNIS expression nor I-124 exposure adversely impacted viability or differentiation potential of PSCs. Iodine uptake was highly specific in teratomas, as in vivo blocking of hNIS with perchlorate led to uptake rates comparable to tracer uptake in non-transgene tumours. Tumour mass and tracer uptake showed a positive correlation. CONCLUSIONS: This is the first study to generate stably hNIS-expressing murine PSCs. Since the differentiation potential was preserved, hNIS-expressing cells are suitable for PSC-based forward programming approaches. Teratoma formation from undifferentiated cells can be monitored in vivo by PET with high specificity on a quantitative level. Due to its anticipated lack of immunogenicity in humans, hNIS is a promising reporter gene for clinical translation.

In-vivo comparison of the acute retention of stem cell derivatives and fibroblasts after intramyocardial transplantation in the mouse model.

PURPOSE: Various strategies have been applied to increase the engraftment of an intramyocardial cell transplant (Tx) to treat ischemic myocardium. Thereby, co-transplanted fibroblasts (FB) improve the long-term survival of stem cell derivatives (SCD) in a murine model of myocardial infarction. For therapeutic use, the time frame in which FB exert putative supportive effects needs to be identified. Therefore, we tracked the biodistribution and retention of SCD and FB in vivo using highly sensitive positron emission tomography (PET) imaging. METHODS: Murine [(18)F]-fluorodeoxyglucose (FDG) labeled SCD and FB were transplanted after left anterior descending artery (LAD) ligation into the border zone of the ischemic area in female C57BL/6 mice. Cardiac retention and biodistribution during the initial 2 h after injection were measured via PET imaging. RESULTS: Massive initial cell loss occurred independently of the cell type. Thereby, FB were retained slightly, yet significantly better than SCD until 60 min post-injection (7.5 ± 1.7 vs. 5.2 ± 0.7% ID at 25 min and 7.0 ± 1.5 vs. 4.8 ± 0.8% ID at 60 min). Thereafter, a fraction of ∼ 5% that withstood the massive initial washout remained at the site of injection independently of the applied cell type (120 min, SCD vs. FB P = 0.64). Most of the lost cells were detected in the lungs (∼ 30 % ID). CONCLUSIONS: We were able to quantitatively define the retention and biodistribution of different cell types via PET imaging in a mouse model after intramyocardial Tx. The utmost accuracy was achieved through this cell- and organ-specific approach by correcting PET data for cellular FDG efflux. Thereby, we observed a massive initial cell loss of ∼ 95%, causing low rates of long-term engraftment for both SCD and FB. We conclude that FB are not privileged compared to SCD regarding their acute retention kinetics, and therefore exert their beneficial effects at a later time point.

Positron emission tomography based in-vivo imaging of early phase stem cell retention after intramyocardial delivery in the mouse model.

PURPOSE: To establish PET as a tool for in-vivo quantification and monitoring of intramyocardially transplanted stem cells after labelling with FDG in mice with induced myocardial infarction. METHODS: After inducing myocardial infarction in C57BL/6 mice, murine embryonic stem cells were labelled with FDG and transplanted into the border zone of the infarction. Dynamic PET scans were acquired from 25 to 120 min after transplantation, followed by a scan with 20 MBq FDG administered intravenously for anatomical landmarking. All images were reconstructed using the OSEM 3D and MAP reconstruction algorithms. FDG data were corrected for cellular tracer efflux and used as marker for cellular retention. FACS analysis of transplanted cells expressing enhanced green fluorescent protein was performed to validate the PET data. RESULTS: We observed a rapid loss of cells from the site of transplantation, followed by stable retention over 120 min. Amounts of retention were 5.3 ± 1.1 % at 25 min, 5.0 ± 0.9 % at 60 min and 5.7 ± 1.2 % at 120 min. FACS analysis showed a high correlation without significant differences between the groups (P > 0.05). FDG labelling did not have any adverse effects on cell proliferation or differentiation. CONCLUSION: Up-to-date imaging is a powerful method for tracking and quantifying intramyocardially transplanted stem cells in vivo in the mouse model. This revealed a massive cell loss within minutes, and thereafter a relatively stable amount of about 5 % remaining cells was observed. Our method may become crucial for further optimization of cardiac cell therapy in the widely used mouse model of infarction.