A study of the regulation of Trib family members expression in normal and malignant haematopoiesis

The Tribbles family of genes consist of three members; TRIB1, TRIB2 and TRIB3. Trib1 and Trib2 have been identified as oncogenes that can induce AML in mice. However little is known about how the expressions of the Tribbles family genes are controlled in the cell during haematopoiesis or leukaemogenesis. To investigate the Tribbles genes in leukaemia a bioinformatics approach was used. TRIB2 expression was found to be elevated in T-ALL and ALL with t(1;19). TRIB1 was found not to be significantly elevated in any leukaemic subtypes. Analyses of the TRIB1 and TRIB2 gene signatures in both leukaemic and normal haematopoietic cells identified pathways and transcription factors associated with these signatures. Pathways enriched for the TRIB1 signature included TLR signalling pathways and NF-κB pathways. Transcription factors enriched for this signature include C/EBP and SRF. Enriched for the TRIB2 signature includes T cell signalling pathways and Notch signalling pathways. Transcription factors enriched for this signature include E2F and ETS. Further investigation in vitro confirmed the finding that E2F1 was as a potential regulator of TRIB2 expression. E2F1 is able to directly bind to the TRIB2 promoter region and induce TRIB2 expression. C/EBPα p42 was found to inhibit E2F1 and the p30 isoform was found to cooperate with E2F1 induced activation of the TRIB2 promoter. Indicating the potential presence of a regulatory loop involved in the regulation of the TRIB2 gene. In conclusion we have investigated the Tribbles gene signatures in both normal haematopoietic and leukaemic cells. This has led to the identification of a number of pathways and transcription factors associated with these genes. We have also identified a family of transcription factors directly responsible for the regulation of TRIB2 expression. This regulatory pathway has the potential to be targeted in the treatment of leukaemia with a high TRIB2 signature.

Development and characterization of novel transgenic techniques for the study of neuronal circuitry

Modern neuroscience relies heavily on sophisticated tools that allow us to visualize and manipulate cells with precise spatial and temporal control. Transgenic mouse models, for example, can be used to manipulate cellular activity in order to draw conclusions about the molecular events responsible for the development, maintenance and refinement of healthy and/or diseased neuronal circuits. Although it is fairly well established that circuits respond to activity-dependent competition between neurons, we have yet to understand either the mechanisms underlying these events or the higher-order plasticity that synchronizes entire circuits. In this thesis we aimed to develop and characterize transgenic mouse models that can be used to directly address these outstanding biological questions in different ways. We present SLICK-H, a Cre-expressing mouse line that can achieve drug-inducible, widespread, neuron-specific manipulations in vivo. This model is a clear improvement over existing models because of its particularly strong, widespread, and even distribution pattern that can be tightly controlled in the absence of drug induction. We also present SLICK-V::Ptox, a mouse line that, through expression of the tetanus toxin light chain, allows long-term inhibition of neurotransmission in a small subset (<1%) of fluorescently labeled pyramidal cells. This model, which can be used to study how a silenced cell performs in a wildtype environment, greatly facilitates the in vivo study of activity-dependent competition in the mammalian brain. As an initial application we used this model to show that tetanus toxin-expressing CA1 neurons experience a 15% - 19% decrease in apical dendritic spine density. Finally, we also describe the attempt to create additional Cre-driven mouse lines that would allow conditional alteration of neuronal activity either by hyperpolarization or inhibition of neurotransmission. Overall, the models characterized in this thesis expand upon the wealth of tools available that aim to dissect neuronal circuitry by genetically manipulating neurons in vivo.

Defining metabolically healthy obesity: role of dietary and lifestyle factors

Background: There is a current lack of consensus on defining metabolically healthy obesity (MHO). Limited data on dietary and lifestyle factors and MHO exist. The aim of this study is to compare the prevalence, dietary factors and lifestyle behaviours of metabolically healthy and unhealthy obese and non-obese subjects according to different metabolic health criteria. Method: Cross-sectional sample of 1,008 men and 1,039 women aged 45-74 years participated in the study. Participants were classified as obese (BMI ≥30kg/m2) and non-obese (BMI <30kg/m2). Metabolic health status was defined using five existing MH definitions based on a range of cardiometabolic abnormalities. Dietary composition and quality, food pyramid servings, physical activity, alcohol and smoking behaviours were examined. Results: The prevalence of MHO varied considerably between definitions (2.2% to 11.9%), was higher among females and generally increased with age. Agreement between MHO classifications was poor. Among the obese, prevalence of MH was 6.8% to 36.6%. Among the non-obese, prevalence of metabolically unhealthy subjects was 21.8% to 87%. Calorie intake, dietary macronutrient composition, physical activity, alcohol and smoking behaviours were similar between the metabolically healthy and unhealthy regardless of BMI. Greater compliance with food pyramid recommendations and higher dietary quality were positively associated with metabolic health in obese (OR 1.45-1.53 unadjusted model) and non-obese subjects (OR 1.37-1.39 unadjusted model), respectively. Physical activity was associated with MHO defined by insulin resistance (OR 1.87, 95% CI 1.19-2.92, p = 0.006).