Search results for: amitriptyline

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amitriptyline</title> <meta name="description" content="Search results for: amitriptyline"> <meta name="keywords" content="amitriptyline"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none 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action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="amitriptyline"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 4</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: amitriptyline</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Degradation of Amitriptyline Hydrochloride, Methyl Salicylate and 2-Phenoxyethanol in Water Systems by the Combination UV/Cl2</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=F.%20Javier%20Benitez">F. Javier Benitez</a>, <a href="https://publications.waset.org/abstracts/search?q=Francisco%20J.%20Real"> Francisco J. Real</a>, <a href="https://publications.waset.org/abstracts/search?q=Juan%20Luis%20Acero"> Juan Luis Acero</a>, <a href="https://publications.waset.org/abstracts/search?q=Francisco%20Casas"> Francisco Casas</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Three emerging contaminants (amitriptyline hydrochloride, methyl salicylate and 2-phenoxyethanol) frequently found in waste-waters were selected to be individually degraded in ultra-pure water by the combined advanced oxidation process constituted by UV radiation and chlorine. The influence of pH, initial chlorine concentration and nature of the contaminants was firstly explored. The trend for the reactivity of the selected compounds was deduced: amitriptyline hydrochloride > methyl salicylate > 2-phenoxyethanol. A later kinetic study was carried out and focused on the specific evaluation of the first-order rate constants and the determination of the partial contribution to the global reaction of the direct photochemical pathway and the radical pathway. A comparison between the rate constant values among photochemical experiments without and with the presence of Cl<sub>2</sub> reveals a clear increase in the oxidation efficiency of the combined process with respect to the photochemical reaction alone. In a second stage, the simultaneous oxidation of mixtures of the selected contaminants in several types of water (ultrapure water, surface water from a reservoir, and two secondary effluents) was also performed by the same combination UV/Cl<sub>2 </sub>under more realistic operating conditions. The efficiency of this combined system UV/Cl<sub>2</sub> was compared to other oxidants such as the UV/S<sub>2</sub>O<sub>8</sub><sup>2- </sup>and UV/H<sub>2</sub>O<sub>2</sub> AOPs. Results confirmed that the UV/Cl<sub>2</sub> system provides higher elimination efficiencies among the AOPs tested. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=emerging%20contaminants" title="emerging contaminants">emerging contaminants</a>, <a href="https://publications.waset.org/abstracts/search?q=UV%2Fchlorine%20advanced%20oxidation%20process" title=" UV/chlorine advanced oxidation process"> UV/chlorine advanced oxidation process</a>, <a href="https://publications.waset.org/abstracts/search?q=amitriptyline" title=" amitriptyline"> amitriptyline</a>, <a href="https://publications.waset.org/abstracts/search?q=methyl%20salicylate" title=" methyl salicylate"> methyl salicylate</a>, <a href="https://publications.waset.org/abstracts/search?q=2-phenoxyethanol" title=" 2-phenoxyethanol"> 2-phenoxyethanol</a>, <a href="https://publications.waset.org/abstracts/search?q=chlorination" title=" chlorination"> chlorination</a>, <a href="https://publications.waset.org/abstracts/search?q=photolysis" title=" photolysis"> photolysis</a> </p> <a href="https://publications.waset.org/abstracts/51159/degradation-of-amitriptyline-hydrochloride-methyl-salicylate-and-2-phenoxyethanol-in-water-systems-by-the-combination-uvcl2" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/51159.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">334</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Oxidation of Amitriptyline by Bromamine-T in Acidic Buffer Medium: A Kinetic and Mechanistic Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chandrashekar">Chandrashekar</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20T.%20Radhika"> R. T. Radhika</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20M.%20Venkatesha"> B. M. Venkatesha</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Ananda"> S. Ananda</a>, <a href="https://publications.waset.org/abstracts/search?q=Shivalingegowda"> Shivalingegowda</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20S.%20Shashikumar"> T. S. Shashikumar</a>, <a href="https://publications.waset.org/abstracts/search?q=H.%20Ramachandra"> H. Ramachandra</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The kinetics of the oxidation of amitriptyline (AT) by sodium N-bromotoluene sulphonamide (C<sub>6</sub>H<sub>5</sub>SO<sub>2</sub>NBrNa) has been studied in an acidic buffer medium of pH 1.2 at 303 K. The oxidation reaction of AT was followed spectrophotometrically at maximum wavelength, 410 nm. The reaction rate shows a first order dependence each on concentration of AT and concentration of sodium N-bromotoluene sulphonamide. The reaction also shows an inverse fractional order dependence at low or high concentration of HCl. The dielectric constant of the solvent shows negative effect on the rate of reaction. The addition of halide ions and the reduction product of BAT have no significant effect on the rate. The rate is unchanged with the variation in the ionic strength (NaClO<sub>4</sub>) of the medium. Addition of reaction mixtures to be aqueous acrylamide solution did not initiate polymerization, indicating the absence of free radical species. The stoichiometry of the reaction was found to be 1:1 and oxidation product of AT is identified. The Michaelis-Menton type of kinetics has been proposed. The CH<sub>3</sub>C<sub>6</sub>H<sub>5</sub>SO<sub>2</sub>NHBr has been assumed to be the reactive oxidizing species. Thermodynamical parameters were computed by studying the reactions at different temperatures. A mechanism consistent with observed kinetics is presented. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=amitriptyline" title="amitriptyline">amitriptyline</a>, <a href="https://publications.waset.org/abstracts/search?q=bromamine-T" title=" bromamine-T"> bromamine-T</a>, <a href="https://publications.waset.org/abstracts/search?q=kinetics" title=" kinetics"> kinetics</a>, <a href="https://publications.waset.org/abstracts/search?q=oxidation" title=" oxidation"> oxidation</a> </p> <a href="https://publications.waset.org/abstracts/50625/oxidation-of-amitriptyline-by-bromamine-t-in-acidic-buffer-medium-a-kinetic-and-mechanistic-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/50625.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">344</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Employing a Knime-based and Open-source Tools to Identify AMI and VER Metabolites from UPLC-MS Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nouf%20Alourfi">Nouf Alourfi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This study examines the metabolism of amitriptyline (AMI) and verapamil (VER) using a KNIME-based method. KNIME improved workflow is an open-source data-analytics platform that integrates a number of open-source metabolomics tools such as CFMID and MetFrag to provide standard data visualisations, predict candidate metabolites, assess them against experimental data, and produce reports on identified metabolites. The use of this workflow is demonstrated by employing three types of liver microsomes (human, rat, and Guinea pig) to study the in vitro metabolism of the two drugs (AMI and VER). This workflow is used to create and treat UPLC-MS (Orbitrap) data. The formulas and structures of these drugs' metabolites can be assigned automatically. The key metabolic routes for amitriptyline are hydroxylation, N-dealkylation, N-oxidation, and conjugation, while N-demethylation, O-demethylation and N-dealkylation, and conjugation are the primary metabolic routes for verapamil. The identified metabolites are compatible to the published, clarifying the solidity of the workflow technique and the usage of computational tools like KNIME in supporting the integration and interoperability of emerging novel software packages in the metabolomics area. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=KNIME" title="KNIME">KNIME</a>, <a href="https://publications.waset.org/abstracts/search?q=CFMID" title=" CFMID"> CFMID</a>, <a href="https://publications.waset.org/abstracts/search?q=MetFrag" title=" MetFrag"> MetFrag</a>, <a href="https://publications.waset.org/abstracts/search?q=Data%20Analysis" title=" Data Analysis"> Data Analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=Metabolomics" title=" Metabolomics"> Metabolomics</a> </p> <a href="https://publications.waset.org/abstracts/147907/employing-a-knime-based-and-open-source-tools-to-identify-ami-and-ver-metabolites-from-uplc-ms-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/147907.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">121</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Genetics of Pharmacokinetic Drug-Drug Interactions of Most Commonly Used Drug Combinations in the UK: Uncovering Unrecognised Associations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Malki">Mustafa Malki</a>, <a href="https://publications.waset.org/abstracts/search?q=Ewan%20R.%20Pearson"> Ewan R. Pearson</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Tools utilized by health care practitioners to flag potential adverse drug reactions secondary to drug-drug interactions ignore individual genetic variation, which has the potential to markedly alter the severity of these interactions. To our best knowledge, there have been limited published studies on the impact of genetic variation on drug-drug interactions. Therefore, our aim in this project is the discovery of previously unrecognized, clinically important drug-drug-gene interactions (DDGIs) within the list of most commonly used drug combinations in the UK. The UKBB database was utilized to identify the top most frequently prescribed drug combinations in the UK with at least one route of interaction (over than 200 combinations were identified). We have recognised 37 common and unique interacting genes considering all of our drug combinations. Out of around 600 potential genetic variants found in these 37 genes, 100 variants have met the selection criteria (common variant with minor allele frequency ≥ 5%, independence, and has passed HWE test). The association between these variants and the use of each of our top drug combinations has been tested with a case-control analysis under the log-additive model. As the data is cross-sectional, drug intolerance has been identified from the genotype distribution as presented by the lower percentage of patients carrying the risky allele and on the drug combination compared to those free of these risk factors and vice versa with drug tolerance. In GoDARTs database, the same list of common drug combinations identified by the UKBB was utilized here with the same list of candidate genetic variants but with the addition of 14 new SNPs so that we have a total of 114 variants which have met the selection criteria in GoDARTs. From the list of the top 200 drug combinations, we have selected 28 combinations where the two drugs in each combination are known to be used chronically. For each of our 28 combinations, three drug response phenotypes have been identified (drug stop/switch, dose decrease, or dose increase of any of the two drugs during their interaction). The association between each of the three phenotypes belonging to each of our 28 drug combinations has been tested against our 114 candidate genetic variants. The results show replication of four findings between both databases : (1) Omeprazole +Amitriptyline +rs2246709 (A > G) variant in CYP3A4 gene (p-values and ORs with the UKBB and GoDARTs respectively = 0.048,0.037,0.92,and 0.52 (dose increase phenotype)) (2) Simvastatin + Ranitidine + rs9332197 (T > C) variant in CYP2C9 gene (0.024,0.032,0.81, and 5.75 (drug stop/switch phenotype)) (3) Atorvastatin + Doxazosin + rs9282564 (T > C) variant in ABCB1 gene (0.0015,0.0095,1.58,and 3.14 (drug stop/switch phenotype)) (4) Simvastatin + Nifedipine + rs2257401 (C > G) variant in CYP3A7 gene (0.025,0.019,0.77,and 0.30 (drug stop/switch phenotype)). In addition, some other non-replicated, but interesting, significant findings were detected. Our work also provides a great source of information for researchers interested in DD, DG, or DDG interactions studies as it has highlighted the top common drug combinations in the UK with recognizing 114 significant genetic variants related to drugs' pharmacokinetic. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=adverse%20drug%20reactions" title="adverse drug reactions">adverse drug reactions</a>, <a href="https://publications.waset.org/abstracts/search?q=common%20drug%20combinations" title=" common drug combinations"> common drug combinations</a>, <a href="https://publications.waset.org/abstracts/search?q=drug-drug-gene%20interactions" title=" drug-drug-gene interactions"> drug-drug-gene interactions</a>, <a href="https://publications.waset.org/abstracts/search?q=pharmacogenomics" title=" pharmacogenomics"> pharmacogenomics</a> </p> <a href="https://publications.waset.org/abstracts/101278/genetics-of-pharmacokinetic-drug-drug-interactions-of-most-commonly-used-drug-combinations-in-the-uk-uncovering-unrecognised-associations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/101278.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">163</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 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Search results for: amitriptyline