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Studies on Experimental Toxicology and Pharmacology

These metrics are regularly updated to reflect usage leading up to the last few days. Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts. The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.

Find more information on the Altmetric Attention Score and how the score is calculated. Systems Toxicology aims to change the basis of how adverse biological effects of xenobiotics are characterized from empirical end points to describing modes of action as adverse outcome pathways and perturbed networks.

Toward this aim, Systems Toxicology entails the integration of in vitro and in vivo toxicity data with computational modeling. This evolving approach depends critically on data reliability and relevance, which in turn depends on the quality of experimental models and bioanalysis techniques used to generate toxicological data.

Thus, integrative analysis of multiple molecular measurements, particularly acquired by omics strategies, is a key approach in Systems Toxicology. In recent years, there have been significant advances centered on in vitro test systems and bioanalytical strategies, yet a frontier challenge concerns linking observed network perturbations to phenotypes, which will require understanding pathways and networks that give rise to adverse responses.

This summary perspective from a Systems Toxicology meeting, an international conference held in the Alps of Switzerland, describes the limitations and opportunities of selected emerging applications in this rapidly advancing field. Systems Toxicology aims to change the basis of how adverse biological effects of xenobiotics are characterized, from empirical end points to pathways of toxicity.

This requires the integration of in vitro and in vivo data with computational modeling. Test systems and bioanalytical technologies have made significant advances, but ensuring data reliability and relevance is an ongoing concern. The major challenge facing the new pathway approach is determining how to link observed network perturbations to phenotypic toxicity. This article is part of the Systems Toxicology II special issue. Figure 1. Concentrations of cyclophilin B CyP-B and lactate in the supernatant medium were used as measures of efficacy and toxicity, respectively.

The funding bodies had no involvement in the collection, analysis, and interpretation of data; in the writing of the report; or in the decision to submit the perspective for publication.

The authors declare the following competing financial interest s : T. Professor Thomas Hartung, M. He was a scientific advisor and key note speaker at Systems Toxicology in Switzerland. Rex FitzGerald, Ph. Prior to joining SCAHT in , he was the head of reproduction toxicology and a medical advisor for gynecological endocrinology at Ciba-Geigy.

His research and professional interests include developmental neurotoxicity and human risk assessment. Professor Paul Jennings, Ph. His research is centered on understanding molecular mechanisms of chemical induced nephrotoxicity with a strong focus on stress response pathways including but not limited to Nrf2, unfolded protein response, and p This research involves the integration of multiomic data streams with biokinetic data with the aim to improve chemical safety prediction utilising human-based in vitro models.

Gary R. Mirams, Ph. He is an applied mathematician working on problems in biology, particularly in the area of cardiac electrophysiology and drug safety.

He is working with a number of pharmaceutical companies to embed simulation in their safety work and to develop free open source software to perform these simulations. Professor Manuel C. Peitsch, Ph. At PMI he leads the department responsible for the assessment of candidate Reduced Risk Tobacco Products through pre-clinical toxicology, systems toxicology, and clinical studies, as well as for their regulatory submissions.

Professor Amin Rostami-Hodjegan, Ph. He has been an invited speaker at over conferences and has led a number of hands on workshops in the area of in vitro — in vivo extrapolation as applied to ADME in Drug Development.

Imran Shah, Ph. Shah provides NCCT leadership in innovative computational approaches to rapidly evaluate health implications for thousands of environmental stressors.

His research focuses on predicting chemical-induced toxicity from complex large-scale molecular data sets using novel machine learning and systems biology methods. Professor Martin F. Wilks, M. His research and professional interests include clinical toxicology, toxico-epidemiology, and risk assessment of chemical exposures. Professor Shana J. Sturla, Ph. Researchers in her laboratory www. We are most grateful for the professional editing of this article provided by Mr.

View Author Information. Cite this: Chem. Article Views Altmetric -. Citations Abstract High Resolution Image. As a subset of systems biology, systems toxicology aims to describe the resilience of biological systems to perturbation by toxicants, i.

The toxicological community in the 21st century is repositioning from empirical, animal-based testing to a mechanistic understanding of chemical-induced biological perturbation in toxicity pathways and networks, 1 ushering in a radical rethinking of safety assessment. This repositioning has been driven by the revolution in genomics and a systems-oriented perspective on biology that aims to address biological processes as integrated systems of diverse interacting components.

Systems Toxicology adds to this challenge a requirement to describe the perturbation of these systems and their resilience, 4 in response to potential hazardous exposures. An overarching goal of Systems Toxicology is to relate complex exposures, via susceptibility factors and alterations of biological processes with impacts on a population level.

A practical building block involves reliable experimental model systems to measure key events along pathways, which are really networks, and linking them to adverse outcomes. Addressing such adverse outcome pathways from a network perspective involves diverse strategies for the integrative analysis of omics measurements.

Finally, observed network perturbations and the mathematical models that describe them need to be linked with particular phenotypes. This requires computational and empirical approaches for prediction and qualification. Building on a highly successful Systems Toxicology conference held in Ascona, Switzerland in , a second Systems Toxicology meeting was held in Les Diablerets, Switzerland, in early The objectives of the conference were to 1 illustrate real-world examples of how systems toxicology could be applied to elucidate toxic modes of action and contribute to realistic exposure and biological impact assessments; 2 learn how experimental and computational elements could be integrated in systems toxicology-based approaches; 3 reveal recent advances in complementary and multidisciplinary research with the potential to enhance further development and application of systems toxicology; and 4 bridge scientific approaches in systems toxicology with applications in human toxicological risk assessment.

This perspective is based on presentations and discussions at the Systems Toxicology meeting. It is a simple and incomplete but we hope useful snapshot of current aspects of this rapidly developing field.

The perspective addresses first the type of pathway information required for Systems Toxicology and the requirements the model systems and omics measurements have to satisfy to derive such information. Furthermore, it addresses three key challenges, i.

Finally, a number of emerging examples toward systems toxicology are given, many of them recently highlighted in a Chemical Research in Toxicology virtual special issue on Pathway-Based Approaches for Environmental Monitoring and Risk Assessment. Toxicity Pathways and Networks. What does it mean if multiple toxicants have shared mechanisms and pathways? Many toxicants actually simultaneously activate multiple pathways; this phenomenon has been termed promiscuity in chemical toxicity, i.

We need to consider mechanisms to make sense of observed perturbations. PoTs are defined on a molecular level, i. They aim for quantitative relations and fluxes.

PoTs rely mostly on the untargeted identification of molecular interactions, typically by omics technologies. Mechanistic validation, i. Pathway-oriented approaches are largely based on an assumed, principally linear sequence of events, i.

Ultimately, however, there will be a need to combine linear pathways into network models. The pathway knowledge to build Systems Toxicology to a large extent still requires experimental models to derive such information, typically by omics technologies.

The complexity of the organism, therefore, has to be reflected in the model. Test systems increasingly aim to reflect such aspects of the complexity of human physiology, for example, organotypic cultures or microphysiological systems. However, these elements are rarely combined in typical model systems.

The data generated by test systems need to be both reliable and relevant. It is assessed by calculating intra-laboratory and inter-laboratory reproducibility and intra-laboratory repeatability. This situation has undoubtedly contributed to the current reproducibility crisis in science. What is measured must be not only reproducible but also relevant. Sometimes we reliably measure the wrong end point. Thus, reliability and relevance are the cornerstones of formal validation and should be a basis for the test systems used to deduce pathways and networks.

This is an iterative process, whereby the most mechanistically relevant test systems are used to further detail, challenge, and refine mechanistic understanding, which, in turn, can lead to improved test systems. Omics data can be a basis for the identification of pathways and networks, 32 but many challenges remain, especially for metabolomics, 33, 34 which is important since it is closest to phenotypical changes.

The progress in omics technologies is impressive; new generations of instruments and chips offer real advantages and enable measurement of an enormous number of signals. Each omics technology has its own advantages and limitations, 37 as exemplified in Table 1 for some of the more common technologies.

Table 1. Advantages and Limitations of Common Omics Technologies. Because of limited throughput and high cost, only a few repeat measurements and experimental conditions can typically be tested. Combined with considerable variability of the measurements, this makes it difficult to separate statistically significant and meaningful changes from measurement artifacts, and small perturbations often escape detection. Cherry-picking individual significant signals and simple clustering on pathways often produces irrelevant results as has been recently shown for metabolomics

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The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. Conclusions drawn by the principal investigators have not been reviewed by the Agency. Jump to main content. Contact Us. Top of Page The perspectives, information and conclusions conveyed in research project abstracts, progress reports, final reports, journal abstracts and journal publications convey the viewpoints of the principal investigator and may not represent the views and policies of ORD and EPA. In vitro screening for population variability in toxicity of pesticide-containing mixtures.

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ГЛАВА 63 Новообретенная веспа Дэвида Беккера преодолевала последние метры до Aeropuerto de Sevilla. Костяшки его пальцев, всю дорогу судорожно сжимавших руль, побелели. Часы показывали два часа с минутами по местному времени. Возле главного здания аэровокзала Беккер въехал на тротуар и соскочил с мотоцикла, когда тот еще двигался. Машина упала на бок и замерла. На затекших ногах Беккер прошел через вращающуюся дверь. Больше никаких мотоциклов, пообещал он .

В боковое зеркало заднего вида он увидел, как такси выехало на темное шоссе в сотне метров позади него и сразу же стало сокращать дистанцию. Беккер смотрел прямо перед. Вдалеке, метрах в пятистах, на фоне ночного неба возникли силуэты самолетных ангаров. Он подумал, успеет ли такси догнать его на таком расстоянии, и вспомнил, что Сьюзан решала такие задачки в две секунды.

Toxicology and Applied Pharmacology

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Уж о чем о чем, а о стрессовых ситуациях директор знал. Он был уверен, что чрезмерный нажим не приведет ни к чему хорошему. - Расслабьтесь, мистер Беккер. Если будет ошибка, мы попробуем снова, пока не добьемся успеха. - Плохой совет, мистер Беккер, - огрызнулся Джабба.

Сьюзан надеялась, что Стратмору не придется долго возиться с отключением ТРАНСТЕКСТА. Шум и мелькающие огни в шифровалке делали ее похожей на стартовую площадку ракеты. Хейл зашевелился и в ответ на каждое завывание сирены начал моргать. Неожиданно для самой себя Сьюзан схватила беретту, и Хейл, открыв глаза, увидел ее, стоящую с револьвером в руке, нацеленным ему в низ живота. - Где ключ? - потребовала .

Toxicology and Applied Pharmacology

 Честно говоря, - нахмурился Стратмор, - я вообще не собирался этого делать.

 По вашему приказу, директор, - говорил он, - мы провели в Севилье два дня, выслеживая мистера Энсея Танкадо. - Расскажите, как он погиб, - нетерпеливо сказал Фонтейн. Смит сообщил: - Мы вели наблюдение из мини-автобуса с расстояния метров в пятьдесят. Вначале все шло гладко.

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Vail T. 09.05.2021 at 21:13

Toxicology and Applied Pharmacology publishes original scientific research of relevance to animals or humans pertaining to the action of chemicals.

Declan C. 11.05.2021 at 20:43

PDF | Peroxisome proliferator-activated receptors (PPARs), members of the nuclear hormone receptor family, attract wide attention as.

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