28 research outputs found

    Identification of ADAM8 substrates involved in neurodegeneration and immune response

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    Naus S. Identification of ADAM8 substrates involved in neurodegeneration and immune response. Bielefeld; 2005

    Thymic progenitor homing and lymphocyte homeostasis are linked via S1P-controlled expression of thymic P-selectin/CCL25

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    Thymic T cell progenitor (TCP) importation is a periodic, gated event that is dependent on the expression of functional P-selectin ligands on TCPs. Occupancy of intrathymic TCP niches is believed to negatively regulate TCP importation, but the nature of this feedback mechanism is not yet resolved. We show that P-selectin and CCL25 are periodically expressed in the thymus and are essential parts of the thymic gate-keeping mechanism. Periodicity of thymic TCP receptivity and the size of the earliest intrathymic TCP pool were dependent on the presence of functional P-selectin ligand on TCPs. Furthermore, we show that the numbers of peripheral blood lymphocytes directly affected thymic P-selectin expression and TCP receptivity. We identified sphingosine-1-phosphate (S1P) as one feedback signal that could mediate influence of the peripheral lymphocyte pool on thymic TCP receptivity. Our findings suggest a model whereby thymic TCP importation is controlled by both early thymic niche occupancy and the peripheral lymphocyte pool via S1P

    Incidence rates of narcolepsy diagnoses in Taiwan, Canada, and Europe: The use of statistical simulation to evaluate methods for the rapid assessment of potential safety issues on a population level in the SOMNIA study

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    BACKGROUND & OBJECTIVES: Vaccine safety signals require investigation, which may be done rapidly at the population level using ecological studies, before embarking on hypothesis-testing studies. Incidence rates were used to assess a signal of narcolepsy following AS03-adjuvanted monovalent pandemic H1N1 (pH1N1) influenza vaccination among children and adolescents in Sweden and Finland in 2010. We explored the utility of ecological data to assess incidence of narcolepsy following exposure to pandemic H1N1 virus or vaccination in 10 sites that used different vaccines, adjuvants, and had varying vaccine coverage.METHODS: We calculated incidence rates of diagnosed narcolepsy for periods defined by influenza virus circulation and vaccination campaign dates, and used Poisson regression to estimate incidence rate ratios (IRRs) comparing the periods during which wild-type virus circulated and after the start of vaccination campaigns vs. the period prior to pH1N1 virus circulation. We used electronic health care data from Sweden, Denmark, the United Kingdom, Canada (3 provinces), Taiwan, Netherlands, and Spain (2 regions) from 2003 to 2013. We investigated interactions between age group and adjuvant in European sites and conducted a simulation study to investigate how vaccine coverage, age, and the interval from onset to diagnosis may impact the ability to detect safety signals.RESULTS: Incidence rates of narcolepsy varied by age, continent, and period. Only in Taiwan and Sweden were significant time-period-by-age-group interactions observed. Associations were found for children in Taiwan (following pH1N1 virus circulation) and Sweden (following vaccination). Simulations showed that the individual-level relative risk of narcolepsy was underestimated using ecological methods comparing post- vs. pre-vaccination periods; this effect was attenuated with higher vaccine coverage and a shorter interval from disease onset to diagnosis.CONCLUSIONS: Ecological methods can be useful for vaccine safety assessment but the results are influenced by diagnostic delay and vaccine coverage. Because ecological methods assess risk at the population level, these methods should be treated as signal-generating methods and drawing conclusions regarding individual-level risk should be avoided

    Narcolepsy and adjuvanted pandemic influenza A (H1N1) 2009 vaccines – Multi-country assessment

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    Background: In 2010, a safety signal was detected for narcolepsy following vaccination with Pandemrix, an AS03-adjuvanted monovalent pandemic H1N1 influenza (pH1N1) vaccine. To further assess a possible association and inform policy on future use of adjuvants, we conducted a multi-country study of narcolepsy and adjuvanted pH1N1 vaccines. Methods: We used electronic health databases to conduct a dynamic retrospective cohort study to assess narcolepsy incidence rates (IR) before and during pH1N1 virus circulation, and after pH1N1 vaccination campaigns in Canada, Denmark, Spain, Sweden, Taiwan, the Netherlands, and the United Kingdom. Using a case-control study design, we evaluated the risk of narcolepsy following AS03- and MF59-adjuvanted pH1N1 vaccines in Argentina, Canada, Spain, Switzerland, Taiwan, and the Netherlands. In the Netherlands, we also conducted a case-coverage study in children born between 2004 and 2009. Results: No changes in narcolepsy IRs were observed in any periods in single study sites except Sweden and Taiwan; in Taiwan incidence increased after wild-type pH1N1 virus circulation and in Sweden (a previously identified signaling country), incidence increased after the start of pH1N1 vaccination. No association was observed for Arepanrix-AS03 or Focetria-MF59 adjuvanted pH1N1 vaccines and narcolepsy in children or adults in the case-control study nor for children born between 2004 and 2009 in the Netherlands case-coverage study for Pandemrix-AS03. Conclusions: Other than elevated narcolepsy IRs in the period after vaccination campaigns in Sweden, we did not find an association between AS03- or MF59-adjuvanted pH1N1 vaccines and narcolepsy in children or adults in the sites studied, although power to evaluate the AS03-adjuvanted Pandemrix brand vaccine was limited in our study

    ADAM8/MS2/CD156, an Emerging Drug Target in the Treatment of Inflammatory and Invasive Pathologies

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    While it is highly accepted that ADAM family members with ubiquitous expression patterns, such as ADAM10 and ADAM17 have major roles in homoeostasis and pathology, ADAM8 was initially considered as an immune-specific ADAM with a cell-specific expression pattern. Therefore, ADAM8 had a “sleeping beauty” existence for many years, and has recently come back into focus as it was detected under several pathological conditions. These were found to typically involve inflammation and remodelling of the extracellular matrix, including cancers and serious respiratory diseases such as asthma. In these diseases, induced expression of ADAM8 by different stimuli results in cleavage of various substrates, including cell adhesion molecules, cytokine receptors, and ECM components. Involvement of ADAM8 in individual diseases indicates its usefulness as both a diagnostic and prognostic marker. Even more strikingly, as ADAM8 progressively emerges as a key effector in pathological processes, so does its attractiveness as a therapeutic target rather than being a mere indicator of disease and its progression. This is encouraged by analysis of ADAM8 null mice, identifying no adverse phenotype in the absence of functional ADAM8. Thus, ADAM8 potentially is an attractive drug target in a variety of diseases. In this review, the current knowledge on ADAM8 in diseases and avenues for specific inhibition based on unique biochemical features of ADAM8 will be presented

    Metalloproteinase disintegrins ADAM8 and ADAM19 are highly regulated in human primary brain tumors and their expression levels and activities are associated with invasiveness.

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    Patients with primary brain tumors have bleak prognoses and there is an urgent desire to identify new markers for sensitive diagnosis and new therapeutic targets for effective treatment. A family of proteins, the disintegrin and metalloproteinases (ADAMs or adamalysins), are cell surface and extracellular multidomain proteins implicated in cell-cell signaling, cell adhesion, and cell migration. Their putative biological and pathological roles make them candidates for promoting tumor growth and malignancy. We investigated the expression levels of 12 cerebrally expressed ADAM genes in human primary brain tumors (astrocytoma WHO grade I-III, glioblastoma WHO grade IV, oligoastrocytoma WHO grade II and III, oligodendroglioma WHO grade II and III, ependymoma WHO grade II and III, and primitive neuroectodermal tumor WHO grade IV) using real-time PCR. The mRNAs of the five ADAMs 8, 12, 15, 17, and 19 were significantly upregulated. The ADAM8 and ADAM19 proteins were mainly located in tumor cells and in some tumors in endothelia of blood vessels. In brain tumor tissue, ADAM8 and ADAM19 undergo activation by prodomain removal resulting in active proteases. By using specific peptide substrates for ADAM8 and ADAM19, respectively, we demonstrated that the proteases exert enhanced proteolytic activity in those tumor specimens with the highest expression levels. In addition, expression levels and the protease activities of ADAM8 and ADAM19 correlated with invasive activity of glioma cells, indicating that ADAM8 and ADAM19 may play a significant role in tumor invasion that may be detrimental to patients survival

    ADAM8 is expressed in thymic stromal cells and thymocytes.

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    <p>Relative ADAM8 RNA levels as determined by qrtPCR in (A) total thymic tissue, thymic hematopoietic cells (CD45<sup>+</sup>, EpCAM<sup>−</sup>), epithelial cells (CD45<sup>−</sup>, EpCAM<sup>+</sup>), endothelial cells (CD45<sup>−</sup>, EpCAM<sup>−</sup>, CD31<sup>+</sup>) and other non-epithelial stromal cells (EpCAM<sup>−</sup>, CD45<sup>−</sup>, CD31<sup>−</sup>), (B) thymic T cell subsets and (C) TEC. FACS sorted cells (>95% purity) were analyzed for ADAM8 RNA expression using the reference gene HPRT. ADAM8 RNA values are expressed relative to HPRT expression. Data are presented as mean values and error bars as SEM. Data are from at least two independent experiments (n≥3). (D–G) Reporter gene (β-galactosidase) expression in ADAM8<sup>−/−</sup> thymic sections detected by immunofluorescence. Thymic sections were stained with antibodies directed against β-galactosidase to reveal potential ADAM8 expression and (D) β5t marking cTEC, (E) MTS10 marking mTEC, (F) ER-TR7 marking fibroblasts and (G) KT-3 marking T cells. Scales bar 50 µm. Data are from at least four independent experiments (n≥4).</p
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