130,553 research outputs found
Impact of sphingosine 1-phosphate modulation on immune outcomes
No full textViral infections may have an important role in the precipitation or relapse of multiple sclerosis (MS) and its treatment. This review describes the normal immune response to viral infection, the possible associations between viral infections and MS therapy, and the impact of sphingosine 1-phosphate (S1P) receptor (S1PR) modulation with fingolimod (FTY720) on the immune responses to viral infection. The physiologic immune response to viral infection involves lymphocyte activation and control of the circulation of subsets of lymphocytes with different functions between the lymph nodes, vascular system, and tissues, under the control of the S1P/S1PR signaling mechanism. In MS, it has been postulated that viral infections may play a role in triggering MS relapses, with virus-specific T cells being responsible for the demyelinating lesions within the CNS. Fingolimod-an S1PR modulator approved for the treatment of relapsing MS in some countries-is thought to act by downmodulating lymphatic S1P subtype 1 receptors. This retains naïve T cells and central memory T cells, but not effector memory T cells, within the lymph nodes and prevents their circulation to the CNS. Evidence from infection models supports that the selective effects of fingolimod on T cell subsets allows key immune responses to be preserved during therapy. However, in patients, long-term observation is important as both the risk of cancer and infection is potentially increased by the use of any immunomodulatory agent
Immunological Mechanism of Action and Clinical Profile of Disease-Modifying Treatments in Multiple Sclerosis
No full textMultiple sclerosis (MS) is a life-long, potentially debilitating disease of the central nervous system (CNS). MS is considered to be an immune-mediated disease, and the presence of autoreactive peripheral lymphocytes in CNS compartments is believed to be critical in the process of demyelination and tissue damage in MS. Although MS is not currently a curable disease, several disease-modifying therapies (DMTs) are now available, or are in development. These DMTs are all thought to primarily suppress autoimmune activity within the CNS. Each therapy has its own mechanism of action (MoA) and, as a consequence, each has a different efficacy and safety profile. Neurologists can now select therapies on a more individual, patient-tailored basis, with the aim of maximizing potential for long-term efficacy without interruptions in treatment. The MoA and clinical profile of MS therapies are important considerations when making that choice or when switching therapies due to suboptimal disease response. This article therefore reviews the known and putative immunological MoAs alongside a summary of the clinical profile of therapies approved for relapsing forms of MS, and those in late-stage development, based on published data from pivotal randomized, controlled trials
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Contributions of the lymphocytic choriomeningitis virus glycoprotein and polymerase to strain-specific differences in murine liver pathogenicity
No full textHepatic involvement is commonly observed in arenavirus infections, but the viral determinants of liver disease are only partially understood. Here we exploited newly developed reverse-genetic techniques with Lymphocytic choriomeningitis virus (LCMV), the prototype arenavirus, to address specifically the contribution of the viral glycoprotein (GP) to liver pathogenicity. It is well established that strain WE, but not ARM, causes hepatitis in mice. We found that this property correlated with the superior capacity of WE to propagate in cultured macrophages and hepatocyte-derived cells. In mice, the ability to establish prolonged viraemia allowed the virus to propagate from initially infected Kupffer cells in the liver to neighbouring hepatocytes that underwent apoptosis. Reverse-genetic replacement of the GP in strain ARM with WE-GP resulted in only a very modest increase in liver pathogenicity, if any. Yet, an ARM-derived variant virus with a mutated polymerase gene caused severe liver disease when engineered to display WE-GP but considerably less when expressing ARM-GP. This reverse-genetic approach to an animal model of arenaviral hepatitis reveals a previously underestimated contributory role of the GP that alone is, however, insufficient to cause disease
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
Envelope Exchange for the Generation of Live-Attenuated Arenavirus Vaccines.
No full textArenaviruses such as Lassa fever virus cause significant mortality in endemic areas and represent potential bioterrorist weapons. The occurrence of arenaviral hemorrhagic fevers is largely confined to Third World countries with a limited medical infrastructure, and therefore live-attenuated vaccines have long been sought as a method of choice for prevention. Yet their rational design and engineering have been thwarted by technical limitations. In addition, viral genes had not been identified that are needed to cause disease but can be deleted or substituted to generate live-attenuated vaccine strains. Lymphocytic choriomeningitis virus, the prototype arenavirus, induces cell-mediated immunity against Lassa fever virus, but its safety for humans is unclear and untested. Using this virus model, we have developed the necessary methodology to efficiently modify arenavirus genomes and have exploited these techniques to identify an arenaviral Achilles' heel suitable for targeting in vaccine design. Reverse genetic exchange of the viral glycoprotein for foreign glycoproteins created attenuated vaccine strains that remained viable although unable to cause disease in infected mice. This phenotype remained stable even after extensive propagation in immunodeficient hosts. Nevertheless, the engineered viruses induced T cell-mediated immunity protecting against overwhelming systemic infection and severe liver disease upon wild-type virus challenge. Protection was established within 3 to 7 d after immunization and lasted for approximately 300 d. The identification of an arenaviral Achilles' heel demonstrates that the reverse genetic engineering of live-attenuated arenavirus vaccines is feasible. Moreover, our findings offer lymphocytic choriomeningitis virus or other arenaviruses expressing foreign glycoproteins as promising live-attenuated arenavirus vaccine candidates
Attenuated lymphocytic choriomeningitis virus: altered parameters of virus-host interactions in the CNS
No full textDispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
