1,720,957 research outputs found
Studies investigating the impact of select genotypes on the pharmacological effect of fenofibrate
No full textUniversity of Minnesota Ph.D. dissertation. September 2012. Major: Experimental & Clinical Pharmacology. Advisor: Dr. Robert J Straka. 1 computer file (PDF); x, 164 pages.Mixed outcomes from clinical trials that tested the effect of combining statins and fenofibrate, posed a challenge in using this antidyslipidemic medication. One significant challenge of using fenofibrate is the high inter-subject variability in lipid response, which can range from -82 to 132% for triglyceride change from baseline. This magnitude of variability suggests the involvement of non-environmental factors, such as the genetic source of the variability. We identified a genetic variation, UGT2B7 A-327G, harbored in a key metabolizing gene of fenofibrate. It was the source of a 17% differences in the percent-change of triglycerides, post-fenofibrate treatment, between UGT2B7 A-327G genotype groups. We hypothesized that this lipid response variation was due to UGT2B7 A-327G's effect on serum concentration of fenofibrate (exposure). We confirmed this hypothesis by conducting Fenofibrate and the Pharmacogenetic Impact (FPI) study, a pharmacokinetic study aimed at explicitly quantifying the effect of UGT2B7 A-327G on fenofibric acid serum concentration. Furthermore, we discovered that UGT2B7 A-327G modulated the uricosuric effect of fenofibrate in a same manner it modulated the antidyslipidemic response. We considered this as another confirmation of the importance of this genetic variation on fenofibrate's response. We also confirmed that another genetic variation, UGT1A1*28, had an effect on serum concentration of fenofibric. In contrast to UGT2B7 A-327G, UGT1A1*28 did not cause a lipid response variation. However, UGT1A1*28 did modulated the effect of fenofibrate on bilirubin level. Recognizing and quantifying the effect of these genetic variations will assist in optimizing fenofibrate treatment.Arafah, Azher. (2012). Studies investigating the impact of select genotypes on the pharmacological effect of fenofibrate. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/141219
Pharmacogenomics: The Promising Future of Clinical Therapeutics
No full textPharmacogenomics (PGx), a rapidly evolving field at the intersection of pharmacology and genomics, has the potential to revolutionize medical practice by investigating how an individuals genetic makeup influences their response to drugs. By optimizing drug selection, dosage, and treatment strategies based on an individuals genetic profile, pharmacogenomics aims to improve therapeutic outcomes, minimize adverse reactions, and enhance healthcare efficiency. Recent advancements in high-throughput genotyping technologies and the availability of genomic data have paved the way for personalized and targeted therapies. This review highlights pharmacogenomicss fundamental principles, applications, and challenges, emphasizing its potential to transform clinical practice and patient care. The field has made significant progress in understanding the impact of genetic variants on drug response, ranging from monogenic to complex polygenic variants. However, the implementation of pharmacogenomics in public health institutions remains limited. With continuous advancements and increasing integration of genomics into medicine, pharmacogenomics is poised to play a crucial role in precision medicine, improving drug efficacy, minimizing toxicity, and driving advancements in drug discovery and development
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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