Evaluation of immune responses to influenza vaccination in chronic obstructive pulmonary disease

Background: Given that viral infections are common triggers for exacerbations of Chronic Obstructive Pulmonary Disease (COPD), current clinical guidelines recommend that all patients receive annual influenza vaccinations. A detailed examination of the immune response to vaccination in COPD has not previously been undertaken, so this study aimed to compare immune responses to influenza vaccination between COPD patients and healthy subjects. Methods: Twenty one COPD patients and fourteen healthy subjects were recruited and cellular immune function was assessed pre- and post- vaccination with trivalent inactivated influenza vaccine. Results: One month after vaccination, H1N1 specific antibody titres were significantly lower in COPD patients than in healthy controls (p=0.02). Multivariate analysis demonstrated that post vaccination antibody titres were independently associated with COPD, but not with age or smoking status. Innate immune responses to the vaccine preparation did not differ between the two populations. Serum concentrations of IL-21, a cytokine that is important for B cell development and antibody synthesis, were also lower in COPD patients than in healthy subjects (p<0.01). In vitro functional differences were also observed, with fewer proliferating B cells expressing CD27 (p=0.04) and reduced T-cell IFN-γ synthesis (p<0.01) in COPD patients, relative to healthy subjects. Conclusions: In conclusion, COPD was associated with altered immune responses to influenza vaccination compared to healthy controls with reductions in both T-cell and B-cell function. These findings provide a foundation for future research aimed at optimising the effectiveness of influenza vaccination in COPD.

基于IGES的卷曲类工件结构光测量路径规划研究

本文通过对卷曲类工件IGES文件的分析,本文提出了一种新的基于IGES文件的测量路径规划策略。根据张量积曲面的性质,提出了一种曲面组合算法,运用了张量积曲面的性质,将曲面操作转化为多次曲线操作,将IGES文件中存储的多片曲面片组合为一整片曲面,从而为自由曲面测量路径的提取提供了数学模型。运用二次逼近原理,提出了一种B样条曲线上的等距采样算法。通过在实际系统进行实验,上述策略及算法得到了验证,并在自主开发的智能测量建模加工一体化装备中得到了应用。

Investigation of lantibiotic regulation, immunity and synergy

Due to the increasing incidence of antibiotic resistant strains, the use of novel antimicrobials, such as bacteriocins, has become an ever more likely prospect. Lacticin 3147 (of which there are two components, Ltnα and Ltnβ) and nisin belong to the subgroup of bacteriocins called the lantibiotics, which has attracted much attention in recent years. The lantibiotics are antimicrobial peptides that contain unusual amino acids resulting from a series of enzyme-mediated post translational modifications. Given that there have been relatively few examples of lantibiotic-specific resistance; these antimicrobials appear to represent valid alternatives to classical antibiotics. However, the fact that lantibiotics are naturally only produced in small amounts often hinders their commercialisation. In order to overcome this bottleneck, several approaches can be employed. For example, we can create a situation that reduces the quantity of a lantibiotic required to inhibit a target by combining it with other antimicrobials. Here, following an initial screen involving lacticin 3147 and several classical antibiotics, it was observed between lacticin 3147 and the commercial antibiotics polymyxin B/E function synergistically. This reduced the amounts of the individual antimicrobials required for kill and broadened the spectrum of inhibition of both agents. Upon combination with polymyxins, lacticin 3147, which has been associated with Gram positive targets only, actively targeted Gram negative species such as Escherichia coli and Cronobacter sp. An alternative means of addressing problems associated with lantibiotic yield is to better understand how production is regulated, and ultimately use this information to enhance peptide levels. With this in mind the regulation of lacticin 3147 production from the promoter Pbac was investigated using a green fluorescent protein (GFP) expression reporter system. This revealed that elements within both of the divergent operons of the lacticin 3147 gene cluster are involved in Pbac regulation. That is, LtnR, already established as a negative regulator of itself and the lacticin 3147 associated immunity genes, also acts as an activator of Pbac transcription. In contrast, an enhanced level of expression is observed in the absence of the lacticin 3147 structural genes, ltnA1 and ltnA2, indicating that these genes/gene products are involved in Pbac repression. In fact, through complementation of the ltnA2 gene, it was revealed that this regulation is more likely to be dependent on the presence of the gene transcript rather that the corresponding prepropeptide or modified Ltnβ. It may be that if lacticin 3147 production is successfully enhanced, the ability of the producing cell to protect itself may become an issue. To prepare for such a possibility a bioengineered derivative of the lacticin 3147 immunity protein LtnI (LtnI I81V) which provides enhanced protection was discovered through an in depth investigation involving the site and saturation mutagenesis of this protein. In addition, the creation of truncated forms of LtnI allowed the identification of important and essential regions of this immunity protein. Finally, as mentioned, self-immunity is essential to prevent self-killing. However the discovery of nisin U immunity and regulatory gene homologues (spiFEGRR’K) within the pathogenic strain S. infantarius subsp. infantarius is a cause for concern as it represents an example of immune mimicry, a form of lantibiotic-specific resistance. The ability of spiFEG to confer protection was apparent when they successfully provided protection to nisin A, F, Z, Q and U when expressed heterologously in the nisin sensitive L. lactis HP host. As a consequence of the studies presented in this thesis, it is likely that strategies will emerge that will facilitate the production of greater levels of lacticin 3147 production and lead to enhanced immunity in lactococcal backgrounds. Alternatively the need for enhanced production could be avoided through the use of antimicrobial combinations. In addition, providing awareness of the threats of the emergence of resistance through immune mimicry can allow researchers to develop strategies to prevent this phenomenon from leading to the dissemination of lantibiotic resistance.

Ionization of atomic hydrogen and He+ by slow antiprotons

We study the ionization of H(1s), He+(1s) and He+(2s) by antiprotons in the energy range from 0.1 to 500 keV. We adopt a semiclassical single centre close-coupling approach in which the wavefunction for the electron is expanded in a B-spline basis centred on the nucleus of the atom/ion. Comparison is made with existing theoretical calculations and available experimental data. The results are encouraging.

3D die shape optimisation for net-shape forging of aerofoil blades

This paper reports on work in developing a finite element (FE) based die shape optimisation for net-shape forging of 3D aerofoil blades for aeroengine applications. Quantitative representations of aerofoil forging tolerances were established to provide a correlation between conventional dimensional and shape specifications in forging production and those quantified in FE simulation. A new direct compensation method was proposed, employing variable weighting factors to minimise the total forging tolerances in forging optimisation computations. A surface approximation using a B-spline surface was also developed to ensure improved die surface quality for die shape representation and design. For a Ni-alloy blade test case, substantial reduction in dimensional and shape tolerances was achieved using the developed die shape optimisation system.

Energy levels, wavefunction compositions and electric dipole transitions in neutral Ca

A configuration-interaction approach, based on the use of B-spline basis sets combined with a model potential including monoelectronic and dielectronic core polarization effects, is employed to calculate term energies and wavefunctions for neutral Ca. Results are reported for singlet and triplet bound states, and some quasi-bound states above the lowest ionization limit, with angular momentum up to L = 4. Comparison with experiment and with other theoretical results shows that this method yields the most accurate energy values for neutral Ca obtained to date. Wavefunction compositions, necessary for labelling the levels, and the effects of semi-empirical polarization potentials on the wavefunctions are discussed, as are some recent identifications of doubly-excited states. It is shown that taking into account dielectronic core polarization changes the energies of the lowest terms in Ca significantly, in general by a few hundred cm(-1), the effect decreasing rapidly for the higher bound states. For Rydberg states with n approximate to 7 the accuracy of the results is often better than a few cm(-1). For series members (or perturbers) with a pronounced 3d character the error can reach 150 cm(-1). The wavefunctions are used to calculate oscillator strengths and lifetimes for a number of terms and these are compared with existing measurements. The agreement is good but points to a need for improved measurements.

Recoil-induced electronic excitation and ionization in one-and two-electron ions

The electronic redistribution of an ion or atom induced by a sudden recoil of the nucleus occurring during the emission or capture of a neutral particle is theoretically investigated. For one-electron systems, analytical expressions are derived for the electronic transition probabilities to bound and continuum states. The quality of a B-spline basis set approach is evaluated from a detailed comparison with the analytical results. This numerical approach is then used Io study the dynamics of two-electron systems (neutral He and Ne ) using correlated wavefunctions for both the target and daughter ions. The total transition probabilities to discrete states, autoionizing states and direct single- and double-ionization probabilities are calculated from the pseudospectra. Sum rules for transition probabilities involving an initial bound state and a complete final series are discussed.

INFLUENCE OF CORE POLARIZATION ON THE ELECTRON-AFFINITY OF CA

We have developed a method, based on the use of B-spline basis sets and model potentials, for determining properties of systems with two or three electrons outside a polarizable closed-shell core. It is applied to the calculation of the electron affinity of Ca and the resulting value of 17.7 meV is in excellent agreement with the most recent experiments. It is found that the dielectronic core-valence interaction reduces the electron affinity by 39.5 meV.

Genetic programming and bacterial algorithm for neural networks and fuzzy systems design

In the field of control systems it is common to use techniques based on model adaptation to carry out control for plants for which mathematical analysis may be intricate. Increasing interest in biologically inspired learning algorithms for control techniques such as Artificial Neural Networks and Fuzzy Systems is in progress. In this line, this paper gives a perspective on the quality of results given by two different biologically connected learning algorithms for the design of B-spline neural networks (BNN) and fuzzy systems (FS). One approach used is the Genetic Programming (GP) for BNN design and the other is the Bacterial Evolutionary Algorithm (BEA) applied for fuzzy rule extraction. Also, the facility to incorporate a multi-objective approach to the GP algorithm is outlined, enabling the designer to obtain models more adequate for their intended use.

An overview of nonlinear identification and control with neural networks.

The aim of this chapter is to introduce background concepts in nonlinear systems identification and control with artificial neural networks. As this chapter is just an overview, with a limited page space, only the basic ideas will be explained here. The reader is encouraged, for a more detailed explanation of a specific topic of interest, to consult the references given throughout the text. Additionally, as general books in the field of neural networks, the books by Haykin [1] and Principe et al. [2] are suggested. Regarding nonlinear systems identification, covering both classical and neural and neuro-fuzzy methodologies, Reference 3 is recommended. References 4 and 5 should be used in the context of B-spline networks.

Design of neuro-fuzzy models by evolutionary and gradient-based algorithms

All systems found in nature exhibit, with different degrees, a nonlinear behavior. To emulate this behavior, classical systems identification techniques use, typically, linear models, for mathematical simplicity. Models inspired by biological principles (artificial neural networks) and linguistically motivated (fuzzy systems), due to their universal approximation property, are becoming alternatives to classical mathematical models. In systems identification, the design of this type of models is an iterative process, requiring, among other steps, the need to identify the model structure, as well as the estimation of the model parameters. This thesis addresses the applicability of gradient-basis algorithms for the parameter estimation phase, and the use of evolutionary algorithms for model structure selection, for the design of neuro-fuzzy systems, i.e., models that offer the transparency property found in fuzzy systems, but use, for their design, algorithms introduced in the context of neural networks. A new methodology, based on the minimization of the integral of the error, and exploiting the parameter separability property typically found in neuro-fuzzy systems, is proposed for parameter estimation. A recent evolutionary technique (bacterial algorithms), based on the natural phenomenon of microbial evolution, is combined with genetic programming, and the resulting algorithm, bacterial programming, advocated for structure determination. Different versions of this evolutionary technique are combined with gradient-based algorithms, solving problems found in fuzzy and neuro-fuzzy design, namely incorporation of a-priori knowledge, gradient algorithms initialization and model complexity reduction.

Intelligent modelling of temperature propagation induced by therapeutic ultrasound

Dissertação de Mestrado, Engenharia Electrónica e Telecomunicações, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

Étude comparative de la morphologie du plancher pelvien des femmes âgées continentes et avec incontinence urinaire

But: Cette étude a pour but de comparer : a)la morphologie du plancher pelvien (PP), du col vésical et du sphincter urogénital strié (SUS) par IRM et b) la fonction du PP par palpation digitale (PERFECT scheme) chez les femmes âgées continentes ou avec incontinence urinaire à l’effort (IUE) et mixte (IUM). Méthode: Les femmes ont appris à contracter correctement leur PP et la fonction de leur PP a été évaluée. Une séance d’IRM dynamique 3T a suivi. Résultats: 66 femmes ont participé à l’étude. Les groupes étaient similaires en âge, IMC, nombre d’accouchements vaginaux et d’hystérectomie. La validité et la fidélité des différentes mesures anatomiques utilisées ont été confirmées au début de cette étude. Afin de contrôler l’effet potentiel de la taille du bassin sur les autres paramètres, les femmes ont été appariées par la longueur de leur inlet pelvien. Les femmes avec IUM ont un PP plus bas et un support des organes pelviens plus faible, selon leurs ligne M, angle LPC/Ligne H et hauteur de la jonction urétro-vésicale (UV). Les femmes avec IUE ont un PP similaire à celui des continentes, mais présentent plus d’ouverture du col vésical et un angle UV postérieur plus large au repos que les autres groupes. Il n’y a aucune différence de morphologie du SUS entre les groupes. De plus, selon les résultats du PERFECT scheme, les femmes avec IU ont une force du PP plus faible que les continentes. Les femmes avec IUM montrent aussi une faible élévation des muscles du PP à la contraction. Les femmes avec IUE ont, quant à elle, un problème de coordination à la toux. Conclusion: Les déficits causant l’IUE et l’IUM sont différents, mais supportent tous le rationnel des exercices du PP pour le traitement de l’IUE et l’IUM. Ces résultats supportent le besoin de traitements de rééducation spécifiques aux déficits de chacun des types d’IU.

The roles of TL1A and Pno1 in the pathogenesis of rheumatoid arthritis

La polyarthrite rhumatoïde (PR) est une maladie auto-immune chronique. Elle est caractérisée par une inflammation persistante touchant de multiples petites articulations, causant douleurs, rougeurs, gonflements et déformations. Des études menées auprès de patients et d’animaux ont démontré que certains auto-anticorps, cytokines et enzymes tissue-déstructives sont des médiateurs importants dans le développement de la PR. Au cours des deux dernières décennies, les traitements de fond (DMARDs en anglais) ont été démontrés très efficaces pour traiter la PR. D'autre part, des effets secondaires ont été rapportés pour ces traitements, par exemple l'augmentation du risque d'infections opportunistes. L’objectif de ce travail est d’acquérir des connaissances sur le rôle du TL1A (TNF-like molécule 1 A; TNFSF15) et son partenaire Nob1 (Pno1 ; YOR145c) dans la pathogenèse de la PR afin de découvrir de nouveaux médicaments contre ces molécules dans l'avenir. TL1A est un membre de la famille du TNF. Il déclenche des signaux co-stimulateurs via le récepteur de mort 3 (DR3) et induit la prolifération ainsi que la production des cytokines pro inflammatoires par les lymphocytes. Des données multiples suggèrent l'implication de la cascade TL1A-DR3 dans plusieurs maladies auto-immunes. Donc, nous avons proposé les hypothèses suivantes:1) la production locale de TL1A dans les articulations est un composant d’un cercle vicieux qui aggrave la PR; 2) dans la PR, la production de TL1A dans les organes lymphoïde augmente la production d’auto-anticorps pathogénique. Au cours de ce travail, nous avons démontré que la TL1A aggrave la maladie chez les souris où l’arthrite a été induite par le collagène (AIC). Par ailleurs, nous avons constaté que l’expression de TL1A est élevée dans les tissus atteints de PR ainsi que dans les ganglions lymphatiques drainant de la souris AIC. Mécaniquement, nous avons découvert que la TL1A est induite par le TNF-α et IL-17 produits par les cellules T in vitro. Ces résultats montrent directement que les TL1A-DR3 jouent un rôle essentiel dans la pathogenèse de la PR. De plus, afin de poursuivre notre étude, la TL1A a été génétiquement supprimée dans les souris (TL1A KO). Nous avons montré que les souris TL1A KO n’ont aucune anomalie apparente et aucun dysfonctionnement du système immunitaire dans des conditions normales. Cependant, ces souris manifestent des AIC améliorées et une réduction significative des niveaux d'anticorps, anti-collagène du type II i dans le sérum. Nous avons trouvé que les ganglions lymphatiques de drainage (dLNs) de souris KO étaient plus petites avec une cellularité inférieure comparativement aux souris WT de 14 jours après l’immunisation. De plus, nous avons découvert que le DR3 a été exprimé par les cellules plasmatiques dans l’étape de la différenciation terminale et ces cellules surviennent mieux en présence de TL1A. La conclusion de cette étude apporte des nouvelles connaissances sur le rôle de TL1A qui amplifie les réponses humorales d’AIC. Nous avons suggéré que TL1A pourrait augmenter la réponse d’initiation d'anticorps contre collagène II (CII) ainsi que prolonger la survie des cellules plasmatiques. Une autre molécule qui nous intéresse est Pno1. Des études antérieures menées chez la levure ont suggéré que Pno1 est essentielle pour la néogénèse du protéasome et du ribosome Le protéasome étant crucial pour la différenciation terminale des cellules plasmatiques pendant les réponses humorales chez les mammifères, nous avons donc supposé que Pno1 joue un rôle dans la production d'anticorps pathogenique dans la PR via la voie du protéasome. Nous avons donc généré des souris génétiquement modifiées pour Pno1 afin d’étudier la fonction de Pno1 in vivo. Cependant, une mutation non-sens dans le Pno1 provoque une létalité embryonnaire à un stade très précoce chez les souris. D'autre part, une réduction de 50% de Pno1 ou une surexpression de Pno1 n’ont aucun effet ni sur le fonctionnent des cellules T et B, ni sur les activités du protéasome ainsi que sur la réponse humorale dans l’AIC. Ces résultats suggèrent que Pno1 est une molécule essentielle sans redondance. Par conséquent, il n’est pas une cible appropriée pour le développement de médicaments thérapeutiques. En conclusion, nos études ont révélé que la TL1A n’est pas essentielle pour maintenir les fonctions du système immunitaire dans des conditions normales. En revanche, il joue un rôle critique dans la pathogenèse de la PR en favorisant l'inflammation locale et la réponse humorale contre des auto-antigènes. Par conséquent, une inhibition de la TL1A pourrait être une stratégie thérapeutique pour le traitement de la PR. Au contraire, Pno1 est essentiel pour la fonction normale des cellules. Une délétion totale pourrait entraîner des conséquences graves. Il n’est pas une cible appropriée pour développer des médicaments de la PR.

PSO assisted NURB Neural Network Identification

A system identification algorithm is introduced for Hammerstein systems that are modelled using a non-uniform rational B-spline (NURB) neural network. The proposed algorithm consists of two successive stages. First the shaping parameters in NURB network are estimated using a particle swarm optimization (PSO) procedure. Then the remaining parameters are estimated by the method of the singular value decomposition (SVD). Numerical examples are utilized to demonstrate the efficacy of the proposed approach.