Immunomodulatory effects exerted by Lactobacillus salivarius strains on innate immune cells

Despite increased application of commensal bacteria for attempting to improve the symptoms of a variety of inflammatory conditions, including inflammatory bowel diseases, diarrhoea and irritable bowel syndrome, therapeutic approaches that involve live bacteria are hampered by a limited understanding of bacterium-host interactions. Lactobacilli are natural inhabitants of the mammalian gastrointestinal tract and many lactobacilli are regarded as probiotics meaning that they exert a beneficial influence on the health status of their consumers. Modulation of immune responses is a plausible mechanism underlying these beneficial effects. The aim of this thesis was to investigate the effect of 33 Lactobacillus salivarius strains on the production of inflammatory cytokines from a variety of human and mouse immune cells. Induction of immune responses in vitro was shown to be bacterial- and mouse strain-dependent, cell type-dependent, blood donor-dependent and bacterial cell number-dependent. Collectively, these data suggest the importance of a case-by-case selection of candidate strains for their potential therapeutic application. Toll-like receptors (TLRs) recognize microbe-associated molecular patterns (MAMPs) and play a critical role in shaping microbial-specific innate and adaptive immune responses. Following ligand engagement, TLRs trigger a complex network of signalling that culminate in the production of inflammatory mediators. The investigation of the molecular mechanisms underlying the Lb. salivarius-host interaction resulted in the identification of a novel role for TLR2 in negatively regulating TLR4 signalling originated from subcellular compartments within macrophages. Notably, sustained activation of JAK/STAT cascade and M1-signature genes in TLR2-/- macrophages was ablated by selective TLR4 and JAK inhibitors and by absence of TLR4 in TLR2/4-/- cells. In addition, other negative regulators of TLR signalling triggered by Lb. salivarius strains were found to be the adapter molecules TIRAP and TRIF. Understanding negative regulation of TLR signalling may pave the way for the development of novel therapeutics to limit inflammation in multiple diseases.

Effects of alternating current voltage amplitude and oxide capacitance on mid-gap interface state defect density extractions in In0.53Ga 0.47As capacitors

This work looks at the effect on mid-gap interface state defect density estimates for In0.53Ga0.47As semiconductor capacitors when different AC voltage amplitudes are selected for a fixed voltage bias step size (100 mV) during room temperature only electrical characterization. Results are presented for Au/Ni/Al2O3/In0.53Ga0.47As/InP metal–oxide–semiconductor capacitors with (1) n-type and p-type semiconductors, (2) different Al2O3 thicknesses, (3) different In0.53Ga0.47As surface passivation concentrations of ammonium sulphide, and (4) different transfer times to the atomic layer deposition chamber after passivation treatment on the semiconductor surface—thereby demonstrating a cross-section of device characteristics. The authors set out to determine the importance of the AC voltage amplitude selection on the interface state defect density extractions and whether this selection has a combined effect with the oxide capacitance. These capacitors are prototypical of the type of gate oxide material stacks that could form equivalent metal–oxide–semiconductor field-effect transistors beyond the 32 nm technology node. The authors do not attempt to achieve the best scaled equivalent oxide thickness in this work, as our focus is on accurately extracting device properties that will allow the investigation and reduction of interface state defect densities at the high-k/III–V semiconductor interface. The operating voltage for future devices will be reduced, potentially leading to an associated reduction in the AC voltage amplitude, which will force a decrease in the signal-to-noise ratio of electrical responses and could therefore result in less accurate impedance measurements. A concern thus arises regarding the accuracy of the electrical property extractions using such impedance measurements for future devices, particularly in relation to the mid-gap interface state defect density estimated from the conductance method and from the combined high–low frequency capacitance–voltage method. The authors apply a fixed voltage step of 100 mV for all voltage sweep measurements at each AC frequency. Each of these measurements is repeated 15 times for the equidistant AC voltage amplitudes between 10 mV and 150 mV. This provides the desired AC voltage amplitude to step size ratios from 1:10 to 3:2. Our results indicate that, although the selection of the oxide capacitance is important both to the success and accuracy of the extraction method, the mid-gap interface state defect density extractions are not overly sensitive to the AC voltage amplitude employed regardless of what oxide capacitance is used in the extractions, particularly in the range from 50% below the voltage sweep step size to 50% above it. Therefore, the use of larger AC voltage amplitudes in this range to achieve a better signal-to-noise ratio during impedance measurements for future low operating voltage devices will not distort the extracted interface state defect density.

Testing for biases in selection on avian reproductive traits and partitioning direct and indirect selection using quantitative genetic models

Key life history traits such as breeding time and clutch size are frequently both heritable and under directional selection, yet many studies fail to document micro-evolutionary responses. One general explanation is that selection estimates are biased by the omission of correlated traits that have causal effects on fitness, but few valid tests of this exist. Here we show, using a quantitative genetic framework and six decades of life-history data on two free-living populations of great tits Parus major, that selection estimates for egg-laying date and clutch size are relatively unbiased. Predicted responses to selection based on the Robertson-Price Identity were similar to those based on the multivariate breeder’s equation, indicating that unmeasured covarying traits were not missing from the analysis. Changing patterns of phenotypic selection on these traits (for laying date, linked to climate change) therefore reflect changing selection on breeding values, and genetic constraints appear not to limit their independent evolution. Quantitative genetic analysis of correlational data from pedigreed populations can be a valuable complement to experimental approaches to help identify whether apparent associations between traits and fitness are biased by missing traits, and to parse the roles of direct versus indirect selection across a range of environments.