Martin L. Stephens
Johns Hopkins University
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Toxicological Sciences | 2013
Russell S. Thomas; Martin A. Philbert; Scott S. Auerbach; Barbara A. Wetmore; Michael J. DeVito; Ila Cote; J. Craig Rowlands; Maurice Whelan; Sean M. Hays; Melvin E. Andersen; M. E. (Bette) Meek; Lawrence W. Reiter; Jason C. Lambert; Harvey J. Clewell; Martin L. Stephens; Q. Jay Zhao; Scott C. Wesselkamper; Lynn Flowers; Edward W. Carney; Timothy P. Pastoor; Dan D. Petersen; Carole L. Yauk; Andy Nong
Based on existing data and previous work, a series of studies is proposed as a basis toward a pragmatic early step in transforming toxicity testing. These studies were assembled into a data-driven framework that invokes successive tiers of testing with margin of exposure (MOE) as the primary metric. The first tier of the framework integrates data from high-throughput in vitro assays, in vitro-to-in vivo extrapolation (IVIVE) pharmacokinetic modeling, and exposure modeling. The in vitro assays are used to separate chemicals based on their relative selectivity in interacting with biological targets and identify the concentration at which these interactions occur. The IVIVE modeling converts in vitro concentrations into external dose for calculation of the point of departure (POD) and comparisons to human exposure estimates to yield a MOE. The second tier involves short-term in vivo studies, expanded pharmacokinetic evaluations, and refined human exposure estimates. The results from the second tier studies provide more accurate estimates of the POD and the MOE. The third tier contains the traditional animal studies currently used to assess chemical safety. In each tier, the POD for selective chemicals is based primarily on endpoints associated with a proposed mode of action, whereas the POD for nonselective chemicals is based on potential biological perturbation. Based on the MOE, a significant percentage of chemicals evaluated in the first 2 tiers could be eliminated from further testing. The framework provides a risk-based and animal-sparing approach to evaluate chemical safety, drawing broadly from previous experience but incorporating technological advances to increase efficiency.
ALTEX-Alternatives to Animal Experimentation | 2008
Marcel Leist; Nina Hasiwa; Costanza Rovida; Mardas Daneshian; David A. Basketter; Ian Kimber; Harvey J. Clewell; Tilman Gocht; Alan M. Goldberg; Francois Busquet; Anna Rossi; Michael Schwarz; Martin L. Stephens; Rob Taalman; Thomas B. Knudsen; James M. McKim; Georgina Harris; David Pamies; Thomas Hartung
Since March 2013, animal use for cosmetics testing for the European market has been banned. This requires a renewed view on risk assessment in this field. However, in other fields as well, traditional animal experimentation does not always satisfy requirements in safety testing, as the need for human-relevant information is ever increasing. A general strategy for animal-free test approaches was outlined by the US National Research Council`s vision document for Toxicity Testing in the 21st Century in 2007. It is now possible to provide a more defined roadmap on how to implement this vision for the four principal areas of systemic toxicity evaluation: repeat dose organ toxicity, carcinogenicity, reproductive toxicity and allergy induction (skin sensitization), as well as for the evaluation of toxicant metabolism (toxicokinetics) (Fig. 1). CAAT-Europe assembled experts from Europe, America and Asia to design a scientific roadmap for future risk assessment approaches and the outcome was then further discussed and refined in two consensus meetings with over 200 stakeholders. The key recommendations include: focusing on improving existing methods rather than favoring de novo design; combining hazard testing with toxicokinetics predictions; developing integrated test strategies; incorporating new high content endpoints to classical assays; evolving test validation procedures; promoting collaboration and data-sharing of different industrial sectors; integrating new disciplines, such as systems biology and high throughput screening; and involving regulators early on in the test development process. A focus on data quality, combined with increased attention to the scientific background of a test method, will be important drivers. Information from each test system should be mapped along adverse outcome pathways. Finally, quantitative information on all factors and key events will be fed into systems biology models that allow a probabilistic risk assessment with flexible adaptation to exposure scenarios and individual risk factors.
Ilar Journal | 2014
Rob B. M. de Vries; Kimberley E. Wever; Marc T. Avey; Martin L. Stephens; Emily S. Sena; Marlies Leenaars
The question of how animal studies should be designed, conducted, and analyzed remains underexposed in societal debates on animal experimentation. This is not only a scientific but also a moral question. After all, if animal experiments are not appropriately designed, conducted, and analyzed, the results produced are unlikely to be reliable and the animals have in effect been wasted. In this article, we focus on one particular method to address this moral question, namely systematic reviews of previously performed animal experiments. We discuss how the design, conduct, and analysis of future (animal and human) experiments may be optimized through such systematic reviews. In particular, we illustrate how these reviews can help improve the methodological quality of animal experiments, make the choice of an animal model and the translation of animal data to the clinic more evidence-based, and implement the 3Rs. Moreover, we discuss which measures are being taken and which need to be taken in the future to ensure that systematic reviews will actually contribute to optimizing experimental design and thereby to meeting a necessary condition for making the use of animals in these experiments justified.
ALTEX-Alternatives to Animal Experimentation | 2013
Thomas Hartung; Sebastian Hoffmann; Martin L. Stephens
Validation of new approaches in regulatory toxicology is commonly defined as the independent assessment of the reproducibility and relevance (the scientific basis and predictive capacity) of a test for a particular purpose. In large ring trials, the emphasis to date has been mainly on reproducibility and predictive capacity (comparison to the traditional test) with less attention given to the scientific or mechanistic basis. Assessing predictive capacity is difficult for novel approaches (which are based on mechanism), such as pathways of toxicity or the complex networks within the organism (systems toxicology). This is highly relevant for implementing Toxicology for the 21st Century, either by high-throughput testing in the ToxCast/Tox21 project or omics-based testing in the Human Toxome Project. This article explores the mostly neglected assessment of a tests scientific basis, which moves mechanism and causality to the foreground when validating/qualifying tests. Such mechanistic validation faces the problem of establishing causality in complex systems. However, pragmatic adaptations of the Bradford Hill criteria, as well as bioinformatic tools, are emerging. As critical infrastructures of the organism are perturbed by a toxic mechanism we argue that by focusing on the target of toxicity and its vulnerability, in addition to the way it is perturbed, we can anchor the identification of the mechanism and its verification.
Environment International | 2016
Gbeminiyi O. Samuel; Sebastian Hoffmann; Robert A. Wright; Manoj M. Lalu; Grace Patlewicz; Richard A. Becker; George L. DeGeorge; Dean Fergusson; Thomas Hartung; R. Jeffrey Lewis; Martin L. Stephens
Assessments of methodological and reporting quality are critical to adequately judging the credibility of a studys conclusions and to gauging its potential reproducibility. To aid those seeking to assess the methodological or reporting quality of studies relevant to toxicology, we conducted a scoping review of the available guidance with respect to four types of studies: in vivo and in vitro, (quantitative) structure-activity relationships ([Q]SARs), physico-chemical, and human observational studies. Our aims were to identify the available guidance in this diverse literature, briefly summarize each document, and distill the common elements of these documents for each study type. In general, we found considerable guidance for in vivo and human studies, but only one paper addressed in vitro studies exclusively. The guidance for (Q)SAR studies and physico-chemical studies was scant but authoritative. There was substantial overlap across guidance documents in the proposed criteria for both methodological and reporting quality. Some guidance documents address toxicology research directly, whereas others address preclinical research generally or clinical research and therefore may not be fully applicable to the toxicology context without some translation. Another challenge is the degree to which assessments of methodological quality in toxicology should focus on risk of bias - as in clinical medicine and healthcare - or be broadened to include other quality measures, such as confirming the identity of test substances prior to exposure. Our review is intended primarily for those in toxicology and risk assessment seeking an entry point into the extensive and diverse literature on methodological and reporting quality applicable to their work.
Toxicological Sciences | 2016
Martin L. Stephens; Kellyn Betts; Nancy B. Beck; Vincent James Cogliano; Kay Dickersin; Suzanne Fitzpatrick; James J. Freeman; George M. Gray; Thomas Hartung; Jennifer McPartland; Andrew A. Rooney; Roberta W. Scherer; Didier Verloo; Sebastian Hoffmann
The Evidence-based Toxicology Collaboration hosted a workshop on “The Emergence of Systematic Review and Related Evidence-based Approaches in Toxicology,” on November 21, 2014 in Baltimore, Maryland. The workshop featured speakers from agencies and organizations applying systematic review approaches to questions in toxicology, speakers with experience in conducting systematic reviews in medicine and healthcare, and stakeholders in industry, government, academia, and non-governmental organizations. Based on the workshop presentations and discussion, here we address the state of systematic review methods in toxicology, historical antecedents in both medicine and toxicology, challenges to the translation of systematic review from medicine to toxicology, and thoughts on the way forward. We conclude with a recommendation that as various agencies and organizations adapt systematic review methods, they continue to work together to ensure that there is a harmonized process for how the basic elements of systematic review methods are applied in toxicology.
Archives of Toxicology | 2017
Sebastian Hoffmann; Rob B. M. de Vries; Martin L. Stephens; Nancy B. Beck; Hubert Dirven; John R. Fowle; Julie E. Goodman; Thomas Hartung; Ian Kimber; Manoj M. Lalu; Kristina A. Thayer; Paul Whaley; Daniele Wikoff; Katya Tsaioun
Systematic reviews, pioneered in the clinical field, provide a transparent, methodologically rigorous and reproducible means of summarizing the available evidence on a precisely framed research question. Having matured to a well-established approach in many research fields, systematic reviews are receiving increasing attention as a potential tool for answering toxicological questions. In the larger framework of evidence-based toxicology, the advantages and obstacles of, as well as the approaches for, adapting and adopting systematic reviews to toxicology are still being explored. To provide the toxicology community with a starting point for conducting or understanding systematic reviews, we herein summarized available guidance documents from various fields of application. We have elaborated on the systematic review process by breaking it down into ten steps, starting with planning the project, framing the question, and writing and publishing the protocol, and concluding with interpretation and reporting. In addition, we have identified the specific methodological challenges of toxicological questions and have summarized how these can be addressed. Ultimately, this primer is intended to stimulate scientific discussions of the identified issues to fuel the development of toxicology-specific methodology and to encourage the application of systematic review methodology to toxicological issues.
Advances in Experimental Medicine and Biology | 2016
Sebastian Hoffmann; Thomas Hartung; Martin L. Stephens
Evidence-based toxicology (EBT) was introduced independently by two groups in 2005, in the context of toxicological risk assessment and causation as well as based on parallels between the evaluation of test methods in toxicology and evidence-based assessment of diagnostics tests in medicine. The role model of evidence-based medicine (EBM) motivated both proposals and guided the evolution of EBT, whereas especially systematic reviews and evidence quality assessment attract considerable attention in toxicology.Regarding test assessment, in the search of solutions for various problems related to validation, such as the imperfectness of the reference standard or the challenge to comprehensively evaluate tests, the field of Diagnostic Test Assessment (DTA) was identified as a potential resource. DTA being an EBM discipline, test method assessment/validation therefore became one of the main drivers spurring the development of EBT.In the context of pathway-based toxicology, EBT approaches, given their objectivity, transparency and consistency, have been proposed to be used for carrying out a (retrospective) mechanistic validation.In summary, implementation of more evidence-based approaches may provide the tools necessary to adapt the assessment/validation of toxicological test methods and testing strategies to face the challenges of toxicology in the twenty first century.
Environmental Health Perspectives | 2014
Nancy B. Beck; Richard A. Becker; Alan R. Boobis; Dean Fergusson; John R. Fowle; Julie E. Goodman; Sebastian Hoffmann; Manoj M. Lalu; Marcel Leist; Martin L. Stephens
In response to the systematic review by Krauth et al. (2013) of instruments for assessing animal toxicology studies for risk of bias and other aspects of quality, we propose the need for a broader perspective when appraising—and hopefully improving—such studies. Krauth et al. (2013) reviewed 30 instruments, 4 of which were designed for environmental toxicology studies used to evaluate human and ecological health hazards. The authors noted that these instruments were derived from preclinical pharmaceutical research in animal models. Many of these instruments focus on efficacy and not toxicity, and—as acknowledged by the authors—they may have limited potential application in environmental health research because they often have criteria that are not relevant to hazard and risk assessments. Based on these 30 instruments, Krauth et al. concluded that a limited number of risk of bias assessment criteria have been empirically tested for animal research, including randomization, concealment of allocation, blinding, and accounting for all animals. However, the authors did not discuss which elements of risk of bias criteria have been empirically tested, nor did they discuss how they were tested, leaving the reader with no information on their reliability or usefulness. We would like to bring the readers’ attention to several other important publications in environmental chemical health hazard assessment that are pertinent to this topic (Agerstrand et al. 2011; Hulzebos et al. 2010; Schneider et al. 2009), along with a U.S. Environmental Protection Agency (EPA) approach developed under the High Production Volume Challenge (U.S. EPA 1999b) as well as relevant and potentially eligible guidance developed by the U.S. EPA (1999a) and the Food and Drug Administration (FDA 2003). In addition, the majority of the procedures specified in Good Laboratory Practices and regulatory in vivo toxicity test guidelines (e.g., U.S. EPA 2013; Organisation for Economic Co-operation and Development 1999) were specifically developed to minimize systematic errors, assure high quality data and produce scientifically reliable studies. These additional publications describe design, conduct, and reporting criteria that form the basis of the methodologies employed globally to assure quality and reliability of in vivo toxicological investigations for regulatory assessment of human and ecological health hazards. Because the application of systematic review and related evidence-based approaches in toxicology is still in its infancy, it is especially important at this time to recognize the contributions of these publications. The omission of these publications by Krauth et al. could have major science policy implications. The National Toxicology Program (NTP) (whose parent organization, the National Institute of Environmental Health Sciences, funded the research of Krauth et al.) has begun relying on Krauth et al. (2013) to identify elements of risk of bias in evaluating animal studies of environmental agents as part of its systematic reviews for assessing health effects (NTP 2013a, 2013b). The reliance on criteria that have not been transparently empirically tested instead of well-established methodological criteria developed by authoritative national and international organizations could result in biased systematic reviews that ultimately lead to regulations or classifications not supported by the science. We suggest that further work is warranted in pulling together published perspectives on how to evaluate study quality in animal toxicology studies. Issues in appraising such studies for evaluating environmental hazards to humans and wildlife go well beyond those of human clinical trials, and would benefit from collaboration of experts in animal toxicology with experts in human clinical trials of medical interventions and human epidemiology.
Atla-alternatives To Laboratory Animals | 1995
Michael Balls; Alan M. Goldberg; Julia H. Fentem; Broadhead Cl; Burch Rl; Festing Mf; John M. Frazier; Hendriksen Cf; Jennings M; van der Kamp; David B. Morton; Andrew N. Rowan; Russell C; Russell Wm; Horst Spielmann; Martin L. Stephens; Stokes Ws; Donald W. Straughan; James D. Yager; Joanne Zurlo; van Zutphen Bf