In Vivo ¹⁸F-FDG-PET Imaging in Mouse Atherosclerosis

Positron Emission Tomography-Computed Tomography and Magnetic Resonance Imaging Assessments in a Mouse Model of Implant-Related Bone and Joint Staphylococcus aureus Infection

Osteomyelitis is an infection of the bone, associated with an inflammatory process. Imaging plays an important role in establishing the diagnosis and the most appropriate patient management. However, data are lacking regarding the use of preclinical molecular imaging techniques to assess osteomyelitis progression in experimental models. This study aimed to compare structural and molecular imaging to assess disease progression in a mouse model of implant-related bone and joint infections caused by Staphylococcus aureus. In SWISS mice, the right femur was implanted with a resorbable filament impregnated with S. aureus (infected group, n = 10) or sterile culture medium (uninfected group, n = 6). Eight animals (5 infected, 3 uninfected) were analyzed with magnetic resonance imaging (MRI) at 1, 2, and 3 weeks postintervention, and 8 mice were analyzed with [18F]fluorodeoxyglucose (FDG)-positron emission tomography (PET)-computed tomography (CT) at 48 h and at 1, 2, and 3 weeks postintervention. In infected animals, CT showed bone lesion progression, mainly in the distal epiphysis, although some uninfected animals presented evident bone sequestra at 3 weeks. MRI showed a lesion in the articular area that persisted for 3 weeks in infected animals. This lesion was smaller and less evident in the uninfected group. At 48 h postintervention, FDG-PET showed higher joint uptake in the infected group than in the uninfected group (P = 0.025). Over time, the difference between groups increased. These results indicate that FDG-PET imaging was much more sensitive than MRI and CT for differentiating between infection and inflammation at early stages. FDG-PET clearly distinguished between infection and postsurgical bone healing (in uninfected animals) from 48 h to 3 weeks after implantation. IMPORTANCE Our results encourage future investigations on the utility of the model for testing different therapeutic procedures for osteomyelitis.

scFv-Anti-LDL(-)-Metal-Complex Multi-Wall Functionalized-Nanocapsules as a Promising Tool for the Prevention of Atherosclerosis Progression

Atherosclerosis can be originated from the accumulation of modified cholesterol-rich lipoproteins in the arterial wall. The electronegative LDL, LDL(-), plays an important role in the pathogenesis of atherosclerosis once this cholesterol-rich lipoprotein can be internalized by macrophages, contributing to the formation of foam cells, and provoking an immune-inflammatory response. Herein, we engineered a nanoformulation containing highly pure surface-functionalized nanocapsules using a single-chain fragment variable (scFv) reactive to LDL(-) as a ligand and assessed whether it can affect the LDL(-) uptake by primary macrophages and the progression of atherosclerotic lesions in Ldlr ^-/- mice. The engineered and optimized scFv-anti-LDL(-)-MCMN-Zn nanoformulation is internalized by human and murine macrophages in vitro by different endocytosis mechanisms. Moreover, macrophages exhibited lower LDL(-) uptake and reduced mRNA and protein levels of IL1B and MCP1 induced by LDL(-) when treated with this new nanoformulation. In a mouse model of atherosclerosis employing Ldlr ^-/- mice, intravenous administration of scFv-anti-LDL(-)-MCMN-Zn nanoformulation inhibited atherosclerosis progression without affecting vascular permeability or inducing leukocytes-endothelium interactions. Together, these findings suggest that a scFv-anti-LDL(-)-MCMN-Zn nanoformulation holds promise to be used in future preventive and therapeutic strategies for atherosclerosis.

Bioenergetic Analyses of In Vitro and In Vivo Samples to Guide Toxicological Endpoints

Toxicology is a broad field that requires the translation of biochemical responses to xenobiotic exposures into useable information to ensure the safety of the public. Modern techniques are improving rapidly, both quantitatively and qualitatively, to provide the tools necessary to expand available toxicological datasets and refine our ability to translate that data into relevant information via bioinformatics. These new techniques can, and do, impact many of the current critical roles in toxicology, including the environmental, forensic, preclinical/clinical, and regulatory realms. One area of rapid expansion is our understanding of bioenergetics, or the study of the transformation of energy in living organisms, and new mathematical approaches are needed to interpret these large datasets. As bioenergetics are intimately involved in the regulation of how and when a cell responds to xenobiotics, monitoring these changes (i.e., metabolic fluctuations) in cells/tissues post-exposure provides an approach to define the temporal scale of pharmacodynamic responses, which can be used to guide additional toxicological techniques (e.g., "omics"). This chapter will summarize important in vitro assays and in vivo imaging techniques to take real-time measurements. Using this information, our laboratory has utilized bioenergetics to identify significant time points of pharmacodynamic relevance as well as forecast the cell's eventual fate.

Investigation of Image Reconstruction Parameters of the Mediso nanoScan PC Small-Animal PET/CT Scanner for Two Different Positron Emitters Under NEMA NU 4-2008 Standards

PURPOSE

The Tera-Tomo 3D image reconstruction algorithm (a version of OSEM), provided with the Mediso nanoScan® PC (PET8/2) small-animal positron emission tomograph (PET)/x-ray computed tomography (CT) scanner, has various parameter options such as total level of regularization, subsets, and iterations. Also, the acquisition time in PET plays an important role. This study aims to assess the performance of this new small-animal PET/CT scanner for different acquisition times and reconstruction parameters, for 2-deoxy-2-[¹⁸F]fluoro-D-glucose ([¹⁸F]FDG) and Ga-68, under the NEMA NU 4-2008 standards.

PROCEDURES

Various image quality metrics were calculated for different realizations of [¹⁸F]FDG and Ga-68 filled image quality (IQ) phantoms.

RESULTS

[¹⁸F]FDG imaging produced improved images over Ga-68. The best compromise for the optimization of all image quality factors is achieved for at least 30 min acquisition and image reconstruction with 52 iteration updates combined with a high regularization level.

CONCLUSION

A high regularization level at 52 iteration updates and 30 min acquisition time were found to optimize most of the figures of merit investigated.