1,720,970 research outputs found
Exposure of Nursed Infants to Maternal Treatment with Ethambutol and Rifampicin
No full textMycobacterial diseases remain a significant cause of morbidity and mortality worldwide. Rifampicin and ethambutol are among the drugs recommended by WHO as first-line treatment. In this work, we addressed the question whether doses of the two anti-tuberculosis agents ethambutol and rifampicin transferred to a nursed infant could be of health concerns when the mother is under treatment. We used the approach of pharmacokinetic modelling using a structural model with two interconnected organisms: the first one being the organism of the nursing mother and the second one being the organism of the nursed child. Physiological data were taken from the literature. The models were parameterised by data from the literature concerning clearance, absorption and plasma/milk ratio. Distribution into the tissues was calculated by an algorithm. The predictive power of the model was tested by comparing the predicted plasma concentrations in the mothers with measured data from the literature. Comparison with measured data after direct infant treatment was performed for the rifampicin plasma concentrations predicted in the nursed infant. Both comparisons confirmed the appropriateness of the modelling results. The transfer of 0.08 mg/kg bw/day ethambutol via breast milk to the nursed infant, the dose we have estimated, when the mother received a therapeutic dose of 24.5 mg/kg bw, can be judged as being without health concern. Likewise, for rifampicin, the transferred dose of 0.4 mg/kg bw to the nursed infant resulting from a therapeutic dose of 10.9 mg/kg bw to the mother does not raise health concerns
Computer-assisted analyses in toxicology
No full textIm Rahmen der EU-weiten REACH-Verordnung haben Alternativmethoden zum Tierversuch in der Toxikologie an Bedeutung gewonnen. Die Alternativmethoden gliedern sich auf in In-vitro- und In-silico-Methoden. In dieser Dissertation wurden verschiedene Konzepte der In-silico-Toxikologie behandelt.
Die bearbeiteten Themen reichen von quantitativen Strukturaktivitätsbeziehungen (QSAR) über eine neue Herangehensweise an das gängige Konzept zur Festlegung von Grenzwerten bis hin zu computerbasierten Modellierungen zum Alkohol- und Bisphenol-A-Stoffwechsel.
Das Kapitel über QSAR befasst sich im Wesentlichen mit der Erstellung und Analyse einer Datenbank mit 878 Substanzen, die sich aus Tierversuchsstudien aus dem Archiv des Bundesinstituts für Risikobewertung zusammensetzt. Das Design wurde dabei an eine bereits bestehende Datenbank angepasst, um so einen möglichst großen Datenpool zu generieren. In der Analyse konnte u.a. gezeigt werden, dass Stoffe mit niedrigerem Molekulargewicht ein erhöhtes Potential für toxikologische Schäden aufwiesen als größere Moleküle.
Mit Hilfe des sogenannten TTC-Konzepts können Grenzwerte für Stoffe geringer Exposition festgelegt werden, zu denen keine toxikologischen Daten zur Verfügung stehen. In dieser Arbeit wurden für die Stoffe dreier Datenbanken entsprechende Grenzwerte festgelegt. Es erfolgte zunächst eine gängige strukturbasierte Aufteilung der Substanzen in die Kategorien "nicht toxisch", "möglicherweise toxisch" und "eindeutig toxisch". Substanzen, die aufgrund ihrer Struktur in eine der drei Klassen eingeordnet werden, erhalten den entsprechenden Grenzwert. Da in die dritte Klasse auch Stoffe eingeordnet werden, deren Toxizität nicht bestimmbar ist, ist sie sehr groß. Daher wurden in dieser Arbeit die ersten beiden Klassen zusammengelgt, um einen größeren Datenpool zu ermöglichen. Eine weitere Neuerung umfasst die Erstellung eines internen Grenzwerts. Diese Vorgehensweise hat den Vorteil, dass der Expositionsweg herausgerechnet wird und somit beispielsweise Studien mit oraler Verabreichung mit Studien dermaler Verabreichung verglichen werden können.
Mittels physiologisch basiertem kinetischem Modelling ist es möglich, Vorgänge im menschlichen Körper mit Hilfe spezieller Software nachzuvollziehen. Durch diese Vorgehensweise können Expositionen von Chemikalien simuliert werden. In einem Teil der Arbeit wurden Alkoholexpositionen von gestillten Neugeborenen simuliert, deren Mütter unmittelbar zuvor alkoholische Getränke konsumiert hatten. Mit dem Modell konnte gezeigt werden, dass die Expositionen des Kindes durchweg gering waren. Nach einem Glas Wein wurden Spitzenkonzentrationen im Blut von Neugeborenen von 0,0034 Promille ermittelt. Zum Vergleich wurde die Exposition durch ein für Säuglinge zugelassenes alkoholhaltiges pflanzliches Arzneimittel simuliert. Hier wurden Spitzenkonzentrationen von 0,0141 Promille erreicht. Daher scheinen Empfehlungen wie gelegentlicher Konsum ohne schädigende Wirkung auf das Kind wissenschaftlich fundiert zu sein.
Ein weiteres Kinetik-Modell befasste sich mit dem Stoffwechsel von Bisphenol A. Teils widersprüchliche Daten zur Belastung mit BPA in der wissenschaftlichen Literatur führen wiederholt zu Anregungen, den Grenzwert der Chemikalie anzupassen. Die Funktionalität der am Metabolismus beteiligten Enzyme kann je nach Individuum unterschiedlich ausgeprägt sein. Mittels Modellings konnte hier gezeigt werden, dass dies maßgeblich dazu führt, dass sich berechnete Plasmaspiegel von Individuen bis zu 4,7-fach unterscheiden.
Die Arbeit konnte somit einen Beitrag zur Nutzung und Weiterentwicklung von In-silico-Modellen für diverse toxikologische Fragestellungen leisten.In the last few years alternative methods to animal testing have gained in importance, particularly in the context of EU wide REACH legislation. The alternative methods are divided into in vitro and in silico methods. In this work, different concepts of in silico toxicology are discussed.
The topics in this dissertation range from quantitative structure-activity relation- ships (QSAR) via a new approach to the common TTC concept to modeling of alcohol and bisphenol A metabolism.
The chapter on QSAR is essentially concerned with the creation and analysis of a database of the German Federal Institute for Risk Assessment (BfR). The design of the database has been adapted to the design of an existing database to gain a relative large pool of data. It was found for example that substances with lower molecular weight have increased potential for toxicologically relevant damage compared to larger molecules.
The TTC concept allows the user to set thresholds for substances of low level exposure when no experimental toxicological data is available. In this work, thresholds were determined for the substances of three different databases. At first substances were identified by their structure and assigned to the categories “nontoxic”, “possibly toxic” and “significantly toxic”. Depending on the category in which an unknown substance is classified, the corresponding threshold applies for it. Since the allocation to com- mon Cramer classes is done very conservatively, substances are rarely assigned to the second class. For this reason, the chemicals of the second and the third class were merged here. A further new approach was the determination of an internal threshold. This allows to subtract out the route of exposure and to apply established thresholds of oral exposure to substances that are absorbed through the skin for example.
Physiologically based kinetic modeling is used to simulate physiological processes in the human body and therefore allows to understand kinetic processes. As a result, exposures to chemicals after intake into the body can be simulated. In the first part it was tried to simulate alcohol exposure of breast-fed babies, if the nursing mother had previously consumed various alcoholic beverages. In the model, it was shown that exposure of the child was consistently low. Peak concentrations were 0.0034 per mill in a newborn after consuming of a glass of wine. For comparison the exposure by an approved alcoholic herbal medicine for the treatment of flatulence in infants was simulated. Here, the peak concentrations reached 0.0141 per mill. Therefore, the findings appear to prove recommendations like “occasional consumption without damaging effect on the child” to be scientifically justified.
Another kinetics model focused on polymorphisms of bisphenol A metabolizing enzymes. Conflicting evidence in the scientific literature on measured BPA concentrations in the blood led to consideration whether the TDI of 0.05 mg/kg bw/day imposed by the EFSA has to be corrected. There are known polymorphisms of the primary metabolizing enzyme. Via modeling it could be shown that these polymorphisms lead to individual plasma levels which vary by the factors of 4.7.
Thus, this work contributes to the development and use of in silico models for various toxicological problems
Innovative Strategies to Develop Chemical Categories Using a Combination of Structural and Toxicological Properties
Full text link1.AbstractInterest is increasing in the development of non-animal methods for toxicological evaluations. These methods are however, particularly challenging for complex toxicological endpoints such as repeated dose toxicity. European Legislation, e.g. the European Union´s Cosmetic Directive and REACH, demands the use of alternative methods. Frameworks, such as the Read-across Assessment Framework or the Adverse Outcome Pathway Knowledge Base, support the development of these methods. The aim of the project presented in this publication was to develop substance categories for a read-across with complex endpoints of toxicity based on existing databases. The basic conceptual approach was to combine structural similarity with shared mechanisms of action. Substances with similar chemical structure and toxicological profile form candidate categories suitable for read-across. We combined two databases on repeated dose toxicity, RepDose database and ELINCS database to form a common database for the identification of categories. The resulting database contained physicochemical, structural and toxicological data, which were refined and curated for cluster analyses. We applied the Predictive Clustering Tree (PCT) approach for clustering chemicals based on structural and on toxicological information to detect groups of chemicals with similar toxic profiles and pathways/mechanisms of toxicity. As many of the experimental toxicity values were not available, this data was imputed by predicting them with a multi-label classification method, prior to clustering. The clustering results were evaluated by assessing chemical and toxicological similarities with the aim of identifying clusters with a concordance between structural information and toxicity profiles/mechanisms. From these chosen clusters, seven were selected for a quantitative read-across, based on a small ratio of NOAEL of the members with the highest and the lowest NOAEL in the cluster (<5). We discuss the limitations of the approach. Based on this analysis we propose improvements for a follow-up approach, such as incorporation of metabolic information and more detailed mechanistic information. The software enables the user to allocate a substance in a cluster and to use this information for a possible read- across. The clustering tool is provided as a free web service, accessible at http://mlc-reach.informatik.uni-mainz.de
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
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