941 resultados para unspecific immunity


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Understanding the evolution of the direct and indirect pathways of allorecognition following tissue transplantation is essential in the design of tolerance-promoting protocols. On the basis that donor bone marrow-derived antigen presenting cells are eliminated within days of transplantation, it has been argued that the indirect response represents the major threat to long term transplant survival, and is consequently the key target for regulation. However, the detection of MHC transfer between cells, and particularly the capture of MHC:peptide complexes by dendritic cells, led us to propose a third, semi-direct, pathway of MHC allorecognition. Persistence of this pathway would lead to sustained activation of direct pathway T cells, arguably persisting for the life of the transplant. In this study, we focused on the contribution of acquired MHC class I, on recipient DCs, during the life span of a skin graft. We observed that MHC class I acquisition by recipient DCs occurs for at least one month following transplantation and may be the main source of alloantigen that drives CD8+ cytotoxic T cell responses. In addition, acquired MHC class I-peptide complexes stimulate T cell responses in vivo further emphasizing the need to regulate both pathways to induce indefinite survival of the graft.

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Metazoans rely on efficient mechanisms to oppose infections caused by pathogens. The immediate and first-line defense mechanism(s) in metazoans, referred to as the innate immune system, is initiated upon recognition of microbial intruders by germline encoded receptors and is executed by a set of rapid effector mechanisms. Adaptive immunity is restricted to vertebrate species and it is controlled and assisted by the innate immune system. Interestingly, most of the basic signaling cascades that regulate the primeval innate defense mechanism(s) have been well conserved during evolution, for instance between humans and the fruit fly, Drosophila melanogaster. Being devoid of adaptive signaling and effector systems, Drosophila has become an established model system for studying pristine innate immune cascades and reactions. In general, an immune response is evoked when microorganisms pass the fruit fly’s physical barriers (e.g. cuticle, epithelial lining of gut and trachea), and it is mainly executed in the hemolymph, the equivalent of the mammalian blood. Innate immunity in the fruit fly consists of a phenoloxidase (PO) response, a cellular response (hemocytes), an antiviral response, and the NF-κB dependent production of antimicrobial peptides referred to as the humoral response. The JAK/STAT and Jun kinase signaling cascades are also implicated in the defence against pathogens.

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Human malaria is responsible for over 700,000 deaths a year. To stay abreast of the threat posed by the parasite, a constant stream of new drugs and vector control methods are required. This study focuses on a vaccine that has the potential to protect against parasite infection, but has been hindered by developmental challenges. In malaria prevention, live, attenuated, aseptic, Plasmodium falciparum sporozoites (PfSPZ) can be administered as a highly protective vaccine. PfSPZ are produced using adult female Anopheles stephensi mosquitoes as bioreactors. Production volume and cost of a PfSPZ vaccine for malaria are expected to be directly correlated with Plasmodium falciparum infection intensity in the salivary glands. The sporogonic development of Plasmodium falciparum in A. stephensi to fully infected salivary gland stage sporozoites is dictated by the activities of several known components of the mosquito’s innate immune system. Here I report on the use of genetic technologies that have been rarely, if ever, used in Anopheles stephensi Sda500 to increase the yield of sporozoites per mosquito and enhance vaccine production. By combining the Gal4/UAS bipartite system with in vivo expression of shRNA gene silencing, activity of the IMD signaling pathway downstream effector LRIM1, an antagonist to Plasmodium development, was reduced in the midgut, fat body, and salivary glands of A. stephensi. In infection studies using P. berghei and P. falciparum these transgenic mosquitoes consistently produced significantly more salivary gland stage sporozoites than wildtype controls, with increases in P. falciparum ranging from 2.5 to 10 fold. Using Plasmodium infection assays and qRT-PCR, two novel findings were identified. First, it was shown that 14 days post Plasmodium infection, transcript abundance of the IMD immune effector genes LRIM1, TEP1 and APL1c are elevated, in the salivary glands of A. stephensi, suggesting the salivary glands may play a role in post midgut defense against the parasite. Second, a non-pathogenic IMD signaling pathway response was observed which could suggest an alternative pathway for IMD activation. The information gained from these studies has significantly increased our knowledge of Plasmodium defense in A. stephensi and moreover could significantly improve vaccine production.

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The ecophysiological effects of stress in female Persian sturgeon, Acipenser persicus brood fishes during catch, transport and their confinement in the Kurenski ponds at the Shahid Dr. Beheshti Fish Propagation and Rearing Center were studied. The brood fishes under study were caught at three catch stations located at the Sefidrud River, Sefidrud River estuary and Gorganrud River estuary and were held in ponds at the Shahid Marjani Fish Propagation and Rearing Center.

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Innate immunity now occupies a central role in immunology. However, artificial immune system models have largely been inspired by adaptive not innate immunity. This paper reviews the biological principles and properties of innate immunity and, adopting a conceptual framework, asks how these can be incorporated into artificial models. The aim is to outline a meta-framework for models of innate immunity.

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The role of T-cells within the immune system is to confirm and assess anomalous situations and then either respond to or tolerate the source of the effect. To illustrate how these mechanisms can be harnessed to solve real-world problems, we present the blueprint of a T-cell inspired algorithm for computer security worm detection. We show how the three central T-cell processes, namely T-cell maturation, differentiation and proliferation, naturally map into this domain and further illustrate how such an algorithm fits into a complete immune inspired computer security system and framework.

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NlmCategory="UNASSIGNED">Glycolytic activity in T cells governs T cell responses by controlling various cellular processes, including proliferation, survival, and effector functions. We recently showed that the tumor microenvironment diminishes T cell antitumor responses by depriving glucose to infiltrating T cells. Moreover, metabolic rewiring tumor-reactive T cells sustain T cell metabolic fitness and antitumor responses.

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This review summarizes the research progress made over the past decade in the field of gastropod immunity resulting from investigations of the interaction between the snail Biomphalaria glabrata and its trematode parasites. A combination of integrated approaches, including cellular, genetic and comparative molecular and proteomic approaches have revealed novel molecular components involved in mediating Biomphalaria immune responses that provide insights into the nature of host-parasite compatibility and the mechanisms involved in parasite recognition and killing. The current overview emphasizes that the interaction between B. glabrata and its trematode parasites involves a complex molecular crosstalk between numerous antigens, immune receptors, effectors and anti-effector systems that are highly diverse structurally and extremely variable in expression between and within host and parasite populations. Ultimately, integration of these molecular signals will determine the outcome of a specific interaction between a B. glabrata individual and its interacting trematodes. Understanding these complex molecular interactions and identifying key factors that may be targeted to impairment of schistosome development in the snail host is crucial to generating new alternative schistosomiasis control strategies.

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A critical step during Bacillus anthracis infection is the outgrowth of germinated spores into vegetative bacilli that proliferate and disseminate rapidly within the host. An important challenge exists for developing chemotherapeutic agents that act upon and kill B. anthracis immediately after germination initiation when antibiotic resistance is lost, but prior to the outgrowth into vegetative bacilli, which is accompanied by toxin production. Chemical agents must also function in a manner refractive to the development of antimicrobial resistance. In this thesis we have identified the lantibiotics as a class of chemotherapeutics that are predicted to satisfy these two criteria. The objective of this thesis was to evaluate the efficacy of nisin, a prototypical lantibiotic, in prevention of outgrowth of germinated B. anthracis spores. Like all lantibiotics, nisin is a ribosomally translated peptide that undergoes post-translational modification to form (methyl)lanthionine rings that are critical for antimicrobial activity. Our studies indicate that nisin rapidly inhibits the in vitro outgrowth of germinated B. anthracis Sterne 7702 spores. Although germination initiation was shown to be essential for nisin-dependent antimicrobial activity, nisin did not inhibit or promote germination initiation. Nisin irreversibly killed germinated spores by blocking the establishment of a membrane potential and oxidative metabolism, while not affecting the dissolution of the outer spore structures. The membrane permeability of the spore was increased by nisin, but germinated spores did not undergo full lysis. Nisin was demonstrated to localize to lipid II, which is the penultimate precursor for cell wall biogenesis. This localization suggests two possible independent mechanisms of action, membrane pore formation and inhibition of peptidoglycan synthesis. Structure-activity studies with a truncated form of nisin lacking the two C-terminal (methyl)lanthionine rings and with non-pore forming mutants indicated that membrane disruption is essential for nisin-dependent inhibition of spore outgrowth to prevent membrane potential establishment. Finally, utilizing an in vitro infection model, it was shown that nisin reduced the viability of B. anthracis spores within an infection resulting in increased survival of immune cells while reducing infection-mediated cytokine expression. Fluorescence microscopy indicated that nisin localizes with spores within phagosomes of peritioneal macrophages in germinating conditions. These data demonstrate the effectiveness of nisin, as a model lantibiotic, for preventing spore outgrowth. It is speculated that nisin targeting of lipid II, resulting in membrane perturbations, may be effective at inhibiting the outgrowth of spores prepared from bacteria across a number of species.

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Network Intrusion Detection Systems (NIDS) monitor a net- work with the aim of discerning malicious from benign activity on that network. While a wide range of approaches have met varying levels of success, most IDS’s rely on having access to a database of known attack signatures which are written by security experts. Nowadays, in order to solve problems with false positive alerts, correlation algorithms are used to add additional structure to sequences of IDS alerts. However, such techniques are of no help in discovering novel attacks or variations of known attacks, something the human immune system (HIS) is capable of doing in its own specialised domain. This paper presents a novel immune algorithm for application to an intrusion detection problem. The goal is to discover packets containing novel variations of attacks covered by an existing signature base.

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libtissue is a software system for implementing and testing AIS algorithms on real-world computer security problems. AIS algorithms are implemented as a collection of cells, antigen and signals interacting within a tissue compartment. Input data to the tissue comes in the form of realtime events generated by sensors monitoring a system under surveillance, and cells are actively able to affect the monitored system through response mechanisms. libtissue is being used by researchers on a project at the University of Nottingham to explore the application of a range of immune-inspired algorithms to problems in intrusion detection. This talk describes the architecture and design of libtissue, along with the implementation of a simple algorithm and its application to a computer security problem.

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In a previous paper the authors argued the case for incorporating ideas from innate immunity into artificial immune systems (AISs) and presented an outline for a conceptualframework for such systems. A number of key general properties observed in the biological innate and adaptive immune systems were highlighted, and how such properties might be instantiated in artificial systems was discussed in detail. The next logical step is to take these ideas and build a software system with which AISs with these properties can be implemented and experimentally evaluated. This paper reports on the results of that step - the libtissue system.

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The role of T-cells within the immune system is to confirm and assess anomalous situations and then either respond to or tolerate the source of the effect. To illustrate how these mechanisms can be harnessed to solve real-world problems, we present the blueprint of a T-cell inspired algorithm for computer security worm detection. We show how the three central T-cell processes, namely T-cell maturation, differentiation and proliferation, naturally map into this domain and further illustrate how such an algorithm fits into a complete immune inspired computer security system and framework.

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Innate immunity now occupies a central role in immunology. However, artificial immune system models have largely been inspired by adaptive not innate immunity. This paper reviews the biological principles and properties of innate immunity and, adopting a conceptual framework, asks how these can be incorporated into artificial models. The aim is to outline a meta-framework for models of innate immunity.