Substance P production by human dental pulp fibroblasts

The inflammatory response to pulpal injury or infection has major clinical significance. Neurogenic inflammation describes the local release of neuropeptides, notably substance P (SP), from afferent neurones, and may play a role in the pathogenesis of pulpal disease. The fibroblast is the most numerous cell type in the dental pulp and recent work has suggested that it is involved in the inflammatory response. Objectives: The aims of the study were to determine whether pulp fibroblasts could produce SP, and to investigate the expression of the SP receptor, NK-1, by these cells. Methods: Primary pulp fibroblast cell populations were isolated by enzymatic digestion from non-carious teeth extracted for orthodontic reasons. Whole pulp tissue was obtained from freshly extracted sound (n=35) and carious (n=39) teeth. Expression of SP and NK-1 mRNA was determined by RT-PCR. The effects of interleukin-1β (IL-1β) and transforming growth factor-β1 (TGF-β1) on SP and NK-1 expression were also determined. The presence of NK-1 on fibroblast cell membranes was established by western blotting. The effects of the cytokines on each parameter were analysed by ANOVA. Radioimmunoassay (RIA) was carried out to quantify SP expression by pulp fibroblasts and in whole pulp tissue. Results: SP was expressed by pulpal fibroblasts both at the mRNA level and the protein level. In addition, NK-1 was detected in fibroblast cultures at the mRNA level and appeared as a double band on western blots of membrane extracts. IL-1β and TGF-β1 significantly stimulated the expression of SP and NK-1. SP levels were significantly greater (p<0.05) in carious compared to sound teeth. Conclusion: Pulp fibroblasts are capable of synthesising and secreting SP, as well as expressing the SP receptor, NK-1. These findings suggest that pulp fibroblasts play a role in neurogenic inflammation in pulpal disease. (Supported by the European Society of Endodontology.)

Techno-Economic Feasibility of Selective CO2 Capture Processes from Biogas Streams using Ionic Liquids as Physical Absorbents

Biogas from anaerobic digestion of sewage sludge is a renewable resource with high energy content, which is formed mainly of CH4 (40-75 vol.%) and CO2 (15-60 vol.%) Other components such as water (H2O, 5-10 vol.%) and trace amounts of hydrogen sulfide and siloxanes can also be present. A CH4-rich stream can be produced by removing the CO2 and other impurities so that the upgraded bio-methane can be injected into the natural gas grid or used as a vehicle fuel. The main objective of this paper is to develop a new modeling methodology to assess the technical and economic performance of biogas upgrading processes using ionic liquids which physically absorb CO2. Three different ionic liquids, namely the 1-ethyl-3-methylimidazolium bis[(trifluoromethyl)sulfonyl]imide, 1-hexyl-3-methylimidazoliumbis[(trifluoromethyl)sulfonyl]imide and trihexyl(tetradecyl)phosphonium bis[(trifluoromethyl)sulfonyl]imide, are considered for CO2 capture in a pressure-swing regenerative absorption process. The simulation software Aspen Plus and Aspen Process Economic Analyzer is used to account for mass and energy balances as well as equipment cost. In all cases, the biogas upgrading plant consists of a multistage compressor for biogas compression, a packed absorption column for CO2 absorption, a flash evaporator for solvent regeneration, a centrifugal pump for solvent recirculation, a pre-absorber solvent cooler and a gas turbine for electricity recovery. The evaluated processes are compared in terms of energy efficiency, capital investment and bio-methane production costs. The overall plant efficiency ranges from 71-86 % whereas the bio-methane production cost ranges from £6.26-7.76 per GJ (LHV). A sensitivity analysis is also performed to determine how several technical and economic parameters affect the bio-methane production costs. The results of this study show that the simulation methodology developed can predict plant efficiencies and production costs of large scale CO2 capture processes using ionic liquids without having to rely on gas solubility experimental data.