Cellular signalling pathways involved in muscle atrophy in cancer cachexia

Cancer cachexia encompases severe weight loss, characterised by the debilitating atrophy of adipose and skeletal muscle mass. Skeletal muscle proteolysis in cancer cachexia is mediated by a sulphated glycoprotein with a relative molecular mass of 24kDa, termed Proteolysis-Inducing Factor (PIF). PIF induced a significant increase in protein degradation, peaking at 4.2nM PIF (p<0.001), ‘chymotrypsin-like’ activity of the proteasome (p<0.001) and increased expression of components of the ATP-ubiquitin dependent proteolytic pathway. This was attenuated in vitro by pre-incubation with the PKC inhibitor calphostin C (100µM) and NF-kB the inhibitors SN50 (18µM), curcumin (50µM) and resveratrol (30µM), 2 hours prior to the addition of PIF. In vivo studies found the IKK inhibitor resveratrol (1mg/kg) to be successful in attenuating protein degradation (p<0.001) and upregulation of ubiquitin-dependent proteolysis in MAC16 tumour bearing mice. C2C12 myoblasts transfected with mutant IkBα and PKCα inserts did not elicit a PIF-induced response, suggesting the importance of the transcription factor NF-kB and PKC  involvement in PIF signal transduction. 15(S)-HETE acts as an intracellular mediator of PIF and exerts an effect through the activation of PKC and subsequently IKK, which phosphorylates IkBα and allows NF-kB to migrate to the nucleus. This effect was negated with the PKC inhibitor calphostin C (300nM). A commercially produced PIF receptor antibody was raised in rabbits immunised with a peptide containing the partial N-terminal sequence of the PIF receptor. The PIF receptor antibody was successful in attenuating the PIF-induced increase in skeletal muscle catabolism and protein degradation in vitro at 10µg/ml (p<0.001) and 3.47mg/kg in vivo (p<0.001). The data suggest great potential in the development of this antibody as a therapy against cancer cachexia.

Mass transfer coefficient for drying of moist particulate in a bubbling fluidized bed

Experiments on drying of moist particles by ambient air were carried out to measure the mass transfer coefficient in a bubbling fluidized bed. Fine glass beads of mean diameter 125?µm were used as the bed material. Throughout the drying process, the dynamic material distribution was recorded by electrical capacitance tomography (ECT) and the exit air condition was recorded by a temperature/humidity probe. The ECT data were used to obtain qualitative and quantitative information on the bubble characteristics. The exit air moisture content was used to determine the water content in the bed. The measured overall mass transfer coefficient was in the range of 0.0145–0.021?m/s. A simple model based on the available correlations for bubble-cloud and cloud-dense interchange (two-region model) was used to predict the overall mass transfer coefficient. Comparison between the measured and predicted mass transfer coefficient have shown reasonable agreement. The results were also used to determine the relative importance of the two transfer regions.

Application of thermal neutron radiography for the mass transport of moisture through freezing soil

This thesis reports on the development of a technique to evaluate hydraulic conductivities in a soil (Snowcal) subject to freezing conditions. The technique draws on three distinctly different disciplines, Nuclear Physics, Soil Physics and Remote Sensing to provide a non-destructive and reliable evaluation of hydraulic conductivity throughout a freezing test. Thermal neutron radiography is used to provide information on local water/ice contents at anytime throughout the test. The experimental test rig is designed so that the soil matrix can be radiated by a neutron beam, from a nuclear reactor, to obtain radiographs. The radiographs can then be interpreted, following a process of remote sensing image enhancement, to yield information on relative water/ice contents. Interpretation of the radiographs is accommodated using image analysis equipment capable of distinguishing between 256 shades of grey. Remote sensing image enhancing techniques are then employed to develop false colour images which show the movement of water and development of ice lenses in the soil. Instrumentation is incorporated in the soil in the form of psychrometer/thermocouples, to record water potential, electrical resistance probes to enable ice and water to be differentiated on the radiographs and thermocouples to record the temperature gradient. Water content determinations are made from the enhanced images and plotted against potential measurements to provide the moisture characteristic for the soil. With relevant mathematical theory pore water distributions are obtained and combined with water content data to give hydraulic conductivities. The values for hydraulic conductivity in the saturated soil and at the frozen fringe are compared with established values for silts and silty-sands. The values are in general agreement and, with refinement, this non-destructive technique could afford useful information on a whole range of soils. The technique is of value over other methods because ice lenses are actually seen forming in the soil, supporting the accepted theories of frost action. There are economic and experimental restraints to the work which are associated with the use of a nuclear facility, however, the technique is versatile and has been applied to the study of moisture transfer in porous building materials and could be further developed into other research areas.

Identification and relative quantification of tyrosine nitration in a model peptide using two-dimensional infrared spectroscopy

Nitration of tyrosine in proteins and peptides is a post-translational modification that occurs under conditions of oxidative stress. It is implicated in a variety of medical conditions, including neurodegenerative and cardiovascular diseases. However, monitoring tyrosine nitration and understanding its role in modifying biological function remains a major challenge. In this work, we investigate the use of electron-vibration-vibration (EVV) two-dimensional infrared (2DIR) spectroscopy for the study of tyrosine nitration in model peptides. We demonstrate the ability of EVV 2DIR spectroscopy to differentiate between the neutral and deprotonated states of 3-nitrotyrosine, and we characterize their spectral signatures using information obtained from quantum chemistry calculations and simulated EVV 2DIR spectra. To test the sensitivity of the technique, we use mixed-peptide samples containing various levels of tyrosine nitration, and we use mass spectrometry to independently verify the level of nitration. We conclude that EVV 2DIR spectroscopy is able to provide detailed spectroscopic information on peptide side-chain modifications and to detect nitration levels down to 1%. We further propose that lower nitration levels could be detected by introducing a resonant Raman probe step to increase the detection sensitivity of EVV 2DIR spectroscopy. (Graph Presented).