Statistical considerations in the kinetic analysis of PET-FDG brain tumour studies

Dynamic positron emission tomography (PET) imaging can be used to track the distribution of injected radio-labelled molecules over time in vivo. This is a powerful technique, which provides researchers and clinicians the opportunity to study the status of healthy and pathological tissue by examining how it processes substances of interest. Widely used tracers include 18F-uorodeoxyglucose, an analog of glucose, which is used as the radiotracer in over ninety percent of PET scans. This radiotracer provides a way of quantifying the distribution of glucose utilisation in vivo. The interpretation of PET time-course data is complicated because the measured signal is a combination of vascular delivery and tissue retention effects. If the arterial time-course is known, the tissue time-course can typically be expressed in terms of a linear convolution between the arterial time-course and the tissue residue function. As the residue represents the amount of tracer remaining in the tissue, this can be thought of as a survival function; these functions been examined in great detail by the statistics community. Kinetic analysis of PET data is concerned with estimation of the residue and associated functionals such as ow, ux and volume of distribution. This thesis presents a Markov chain formulation of blood tissue exchange and explores how this relates to established compartmental forms. A nonparametric approach to the estimation of the residue is examined and the improvement in this model relative to compartmental model is evaluated using simulations and cross-validation techniques. The reference distribution of the test statistics, generated in comparing the models, is also studied. We explore these models further with simulated studies and an FDG-PET dataset from subjects with gliomas, which has previously been analysed with compartmental modelling. We also consider the performance of a recently proposed mixture modelling technique in this study.

A molecular analysis of the interactions of escherichia coli and macrophages

Escherichia coli (E.coli) is a diverse bacterial species that primarily forms a beneficial symbiotic relationship with the host in the human lower gastrointestinal track (GIT), however it can also be pathogenic in this environment. Furthermore, some strains can diverge from the GIT and occupy niches such as the urinary tract. In all these environments, E. coli interacts with the immune system and macrophages represent the front line of the innate immune system. In this study we characterise the immune response by macrophages to E. coli infection. It was shown that E. coli broadly provoke a similar cytokine response during macrophages infection and furthermore are degraded primarily by the phagocytosis pathway. Recently a new group of E. coli called Adherent Invasive Escherichia coli (AIEC) has been described. AIEC are present in the guts of Crohn’s disease (CD) patients at a higher frequency than in healthy patients. AIEC can replicate in macrophages but the mechanism for this is not fully understood. The processing of AIEC by macrophages was investigated and it was shown that AIEC only replicated in permissive macrophages. Furthermore, even in a permissive macrophages AIEC are trafficked through macrophages in a similar manner to commensal E. coli. This supports the hypothesis that AIEC are highly similar to commensal E. coli and only cause pathogenicity when present in the permissive environment of the gut of CD patients. Replication in macrophages requires functioning metabolic pathways and it was identified that glycolysis is important for AIEC survival in macrophages. AIEC mutants without a fully functioning glycolysis pathway induced less IL-1β cytokine release from macrophages than wild type strain suggesting that metabolism plays a role in inflammasome activation. Furthermore, AIEC mutants that could not produce the glycolytic end product acetate induced significantly reduced IL-1β release during infection. This suggest that the acetate molecule or a phenotypic effect of its production may be a driver of IL-1β release from AIEC infected macrophages. The interaction of uropathogenic E. coli (UPEC) with macrophages was also investigated. UPEC induced very high levels of cytotoxicity in human macrophages which was shown to be dependent on the production of the pore forming toxin α-hemolysin. However, UPEC did not induced high levels of cytotoxicity in murine macrophages suggesting there are species specific sensitivity to α-hemolysin that should be considered when studying UPEC pathogenicity in murine models.