Dimethylsulfide dehydrogenase from rhodovulum sulfidophilum: EPR spectroscopy and biochemical analysis reveal its place in the DMSO reductase family of molybdenum enzymes

Dimethylsulfide (DMS) dehydrogenase catalyses the oxidation of DMS to dimethylsulfoxide. The purified enzyme has three subunits of Mr = 94, 38 and 32 kDa and has an optical spectrum dominated by a b-type cytochrome. The metal ion and nucleotide analysis revealed 0.5 g-atom Mo, 9.8 g-atom Fe and 1.96 mol GMP per tool of enzyme. Taken together, these data indicate that DMS dehydrogenase contains a bis(MGD)Mo cofactor. A comparison of the Nterminal amino acid sequence of DMS dehydrogenase revealed that the Mo-containing ct-subunit was most closely related to the c~-subunits of nitrate reductase (NarG) and selenate reductase (SerA). Similarly, the [~-subunit of DMS dehydrogenase was most closely related to the [3-subunits of nitrate reductase (NarH) and selenate reductase (SerB). Variable temperature X-band EPR spectra (120-2K) of 'as isolated' DMS dehydrogenase showed resonances arising from multiple redox centres, Mo(V), [3Fe-4S] +, [4Fe-4S] ÷. A pH dependent EPR study of the Mo(V) centre in lH20 and 2H20 reveals the presence of three Mo(V) species in equilibrium, Mo(V)-OH2, Mo(V)-X and Mo(V)-OH. Between pH6 and 8.2 the dominant species is Mo(V)-OH2 and Mo(V)-X is a minor component. X is probably the anion, chloride. Comparison of the rhombicity and anisotropy parameters for the Mo(V) species in DMS dehydrogenase with other Mo(V) centres in metalloproteins showed that it was most similar to the low pH nitrite spectrum of E. coli nitrate reductase (NarGHI). The spin Hamiltonian parameters (2.0158, 1.8870, 1.8620) for the [4Fe-4S] + cluster suggests the presence of histidine (N) coordination to iron in this cluster. It is suggested that this unusual [Fe-S] cluster may be associated with a histidine-cysteine rich sequence at the N-terminus of the ct-subunit of DMS dehydrogenase.

Microsensors technology used to measure productivity and other biochemical processes in the upper regions of aquatic sediments

Carbonate sediments are dynamic three-dimensional environments where the surface layers are constantly moving and mixing due to the energy of the water column. It is also an environment of dynamic biological, chemical and physical interaction and modification. The biological community can actively influence changes to sediment characteristics and associated biochemistry. Bioturbation resulting from macrofaunal activity disrupts sediment structure and biochemical arrangements and reduces the critical shear forces required to move sediment particles, adding to the dynamic and complex physical and biogeochemical nature of the sediment. Laboratory studies using both planner optodes and glass needle microsensors were used to measure abiotic sediment characteristics such as the depth distribution and concentrations of PAR. The biochemical nature of coral reef sediment were also investigated, specifically the quantification and the distribution of dissolved oxygen within coarse and fine-grained sediments under regimes of light and darkness. Results highlighted the significant contribution microalgal productivity and bioturbation has on distribution of dissolved oxygen in the upper sediment layers. On the reef flat a shallow water lander system was employed to measure concentrations of O2, pH, S, Ca and temperature over periods of 24 to 48 hours in coarse and fine-grained sediments. Similarities between laboratory and in situ results where evident, however the in situ environment was more dynamic and the distribution and concentrations of dissolved oxygen were more complex and correlated to irradiance, temperature and biological activity. Microsensor technology provides us with the opportunity to study, at very high resolutions, the upper irradiated; photosynthetically active regions of aquatic sediments along with anoxic processes deeper in sub-euphotic regions of the sediments.

Clinical biochemical measurements in rheumatology

Despite 50 years of intensive research in the field of RFs, autoimmunity and chronic inflammation, some of the serological tests used for measuring autoantibodies remain an anachronism. Clinical chemistry has the potential technology to provide the rheumatologist with automated quantitative antibody/antigen measurements. It can also widen the range of tests available for disease monitoring, which would be helpful in the management of the chronic rheumatic diseases. Traditional laboratory tests must be superseded by new developments, derived from fundamental research, if we are to improve the diagnosis and management of the rheumatic diseases.

Biochemical correlates of cognition: exploring the relationships between blood, brain and behaviour

This multi-modal investigation aimed to refine analytic tools including proton magnetic resonance spectroscopy (1H-MRS) and fatty acid gas chromatography-mass spectrometry (GC-MS) analysis, for use with adult and paediatric populations, to investigate potential biochemical underpinnings of cognition (Chapter 1). Essential fatty acids (EFAs) are vital for the normal development and function of neural cells. There is increasing evidence of behavioural impairments arising from dietary deprivation of EFAs and their long-chain fatty acid metabolites (Chapter 2). Paediatric liver disease was used as a deficiency model to examine the relationships between EFA status and cognitive outcomes. Age-appropriate Wechsler assessments measured Full-scale IQ (FSIQ) and Information Processing Speed (IPS) in clinical and healthy cohorts; GC-MS quantified surrogate markers of EFA status in erythrocyte membranes; and 1H-MRS quantified neurometabolite markers of neuronal viability and function in cortical tissue (Chapter 3). Post-transplant children with early-onset liver disease demonstrated specific deficits in IPS compared to age-matched acute liver failure transplant patients and sibling controls, suggesting that the time-course of the illness is a key factor (Chapter 4). No signs of EFA deficiency were observed in the clinical cohort, suggesting that EFA metabolism was not significantly impacted by liver disease. A strong, negative correlation was observed between omega-6 fatty acids and FSIQ, independent of disease diagnosis (Chapter 5). In a study of healthy adults, effect sizes for the relationship between 1H-MRS- detectable neurometabolites and cognition fell within the range of previous work, but were not statistically significant. Based on these findings, recommendations are made emphasising the need for hypothesis-driven enquiry and greater subtlety of data analysis (Chapter 6). Consistency of metabolite values between paediatric clinical cohorts and controls indicate normal neurodevelopment, but the lack of normative, age-matched data makes it difficult to assess the true strength of liver disease-associated metabolite changes (Chapter 7). Converging methods offer a challenging but promising and novel approach to exploring brain-behaviour relationships from micro- to macroscopic levels of analysis (Chapter 8).