1,720,972 research outputs found
New insights into the pathogenesis of adenosine deaminase-severe combined immunodeficiency and progress in gene therapy.
No full textPURPOSE OF REVIEW:
Adenosine deaminase (ADA)- deficient severe combined immunodeficiency (SCID) is a complex metabolic and immunological disorder, characterized by a severe immunodeficiency due to the accumulation of purine metabolites in plasma and cells. This review summarizes recent findings on the pathogenesis of immunological and nonimmunological defects in ADA deficiency and the successful outcome of gene therapy trials for this condition.
RECENT FINDINGS:
Recent reports show that ADA-SCID is associated with an increased frequency of autoimmune manifestations and high risk of central nervous system (CNS) complications even after bone marrow transplantation. It remains unclear to what extent infection-related or disease-specific factors correlate with this divergent outcome.Recent trials represented the first demonstration of long-term clinical efficacy of HSC gene therapy for ADA-SCID, underlining that gene therapy has a favorable safety profile and is effective in restoring normal purine metabolism and immune functions. Molecular studies showed that the retroviral integration profile after successful gene therapy did not cause selection or expansion of malignant cell clones in vivo.
SUMMARY:
Gene therapy for ADA-deficient SCID is an effective treatment, providing long-term clinical benefit for affected patients. Future research will be needed to address the occurrence of autoimmune manifestations and nonimmunological defects in order to improve patients' long-term prospects
Three common pathways of nephrotoxicity induced by halogenated alkenes.
No full textGlutathione-dependent bioactivation is a common pathway in nephrotoxicity caused by haloalkanes and haloalkenes. Glutathione-conjugation forms the link between halogenated hydrocarbons, based on the formation of an episulfonium ion (vicinal halomethanes) or a cysteine conjugate (haloalkenes). Herein we review the metabolic pathways underlying the nephrotoxic effects of the three well known haloalkenes trichloroethylene, tetrachloroethylene, and hexachloro-1:3-butadiene to emphasize the role of cysteine-conjugate β-lyase and the oxidative metabolism in renal toxicity. Activation by cysteine-conjugate β-lyase is the best-characterized mechanism causing toxicity due to haloalkene treatment in experimental models. However, the severity of toxicity differs considerably, with S-(1,2,2-trichlorovinyl)-L-cysteine being more toxic than S-(1,2-dichlorovinyl)-L-cysteine, which is in turn more toxic than S-(1,2,3,4,4-pentachloro-1:3-butadienyl)-L-cysteine. Moreover, two oxidative pathways involving cysteine S-conjugates (mediated by flavin-containing monooxigenase 3) and N-acetyl-L-cysteine conjugates (mediated by cytochrome P-450 3A) form derived sulfoxides, which represent alternative metabolites with toxic effects. In vitro and in vivo studies showed that sulfoxide metabolites are more toxic than cysteine-conjugate derivates. The cytochrome P-450 3A family on the other hand is sex-specific and its expression has only been reported in adult male rats and rabbits. In summary, haloalkenes are highly nephrotoxic in vivo and in vitro and their toxicity mechanisms are well-documented experimentally. However, little information is available on their toxicity in humans, except for the carcinogenic effects established for high exposure levels of trichloroethylene and tetrachloroethylene
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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