Cumulative Risk: Toxicity and Interactions of Physical and Chemical Stressors

Recent efforts to update cumulative risk assessment procedures to incorporate nonchemical stressors ranging from physical to psychosocial reflect increased interest in consideration of the totality of variables affecting human health and the growing desire to develop community-based risk assessment methods. A key roadblock is the uncertainty as to how nonchemical stressors behave in relationship to chemical stressors. Physical stressors offer a reasonable starting place for measuring the effects of nonchemical stressors and their modulation of chemical effects (and vice versa), as they clearly differ from chemical stressors; and “doses” of many physical stressors are more easily quantifiable than those of psychosocial stressors. There is a commonly held belief that virtually nothing is known about the impact of nonchemical stressors on chemically mediated toxicity or the joint impact of coexposure to chemical and nonchemical stressors. Although this is generally true, there are several instances where a substantial body of evidence exists. A workshop titled “Cumulative Risk: Toxicity and Interactions of Physical and Chemical Stressors” held at the 2013 Society of Toxicology Annual Meeting provided a forum for discussion of research addressing the toxicity of physical stressors and what is known about their interactions with chemical stressors, both in terms of exposure and effects. Physical stressors including sunlight, heat, radiation, infectious disease, and noise were discussed in reference to identifying pathways of interaction with chemical stressors, data gaps, and suggestions for future incorporation into cumulative risk assessments

Development of the InTelligence And Machine LEarning (TAME) Toolkit for Introductory Data Science, Chemical-Biological Analyses, Predictive Modeling, and Database Mining for Environmental Health Research

Research in environmental health is becoming increasingly reliant upon data science and computational methods that can more efficiently extract information from complex datasets. Data science and computational methods can be leveraged to better identify relationships between exposures to stressors in the environment and human disease outcomes, representing critical information needed to protect and improve global public health. Still, there remains a critical gap surrounding the training of researchers on these in silico methods. We aimed to address this gap by developing the inTelligence And Machine lEarning (TAME) Toolkit, promoting trainee-driven data generation, management, and analysis methods to “TAME” data in environmental health studies. Training modules were developed to provide applications-driven examples of data organization and analysis methods that can be used to address environmental health questions. Target audiences for these modules include students, post-baccalaureate and post-doctorate trainees, and professionals that are interested in expanding their skillset to include recent advances in data analysis methods relevant to environmental health, toxicology, exposure science, epidemiology, and bioinformatics/cheminformatics. Modules were developed by study coauthors using annotated script and were organized into three chapters within a GitHub Bookdown site. The first chapter of modules focuses on introductory data science, which includes the following topics: setting up R/RStudio and coding in the R environment; data organization basics; finding and visualizing data trends; high-dimensional data visualizations; and Findability, Accessibility, Interoperability, and Reusability (FAIR) data management practices. The second chapter of modules incorporates chemical-biological analyses and predictive modeling, spanning the following methods: dose-response modeling; machine learning and predictive modeling; mixtures analyses; -omics analyses; toxicokinetic modeling; and read-across toxicity predictions. The last chapter of modules was organized to provide examples on environmental health database mining and integration, including chemical exposure, health outcome, and environmental justice indicators. Training modules and associated data are publicly available online (https://uncsrp.github.io/Data-Analysis-Training-Modules/). Together, this resource provides unique opportunities to obtain introductory-level training on current data analysis methods applicable to 21st century science and environmental health

Methods for specifying the target difference in a randomised controlled trial : the Difference ELicitation in TriAls (DELTA) systematic review

Peer reviewedPublisher PD

Statement on Advancing the Assessment of Chemical Mixtures and their Risks for Human Health and the Environment

The number of anthropogenic chemicals, manufactured, by-products, metabolites and abiotically formed transformation products, counts to hundreds of thousands, at present. Thus, humans and wildlife are exposed to complex mixtures, never one chemical at a time and rarely with only one dominating effect. Hence there is an urgent need to develop strategies on how exposure to multiple hazardous chemicals and the combination of their effects can be assessed. A workshop, “Advancing the Assessment of Chemical Mixtures and their Risks for Human Health and the Environment” was organized in May 2018 together with Joint Research Center in Ispra, EU-funded research projects and Commission Services and relevant EU agencies. This forum for researchers and policy-makers was created to discuss and identify gaps in risk assessment and governance of chemical mixtures as well as to discuss state of the art science and future research needs. Based on the presentations and discussions at this workshop we want to bring forward the following Key Messages: We are at a turning point: multiple exposures and their combined effects require better management to protect public health and the environment from hazardous chemical mixtures. Regulatory initiatives should be launched to investigate the opportunities for all relevant regulatory frameworks to include prospective mixture risk assessment and consider combined exposures to (real-life) chemical mixtures to humans and wildlife, across sectors. Precautionary approaches and intermediate measures (e.g. Mixture Assessment Factor) can already be applied, although, definitive mixture risk assessments cannot be routinely conducted due to significant knowledge and data gaps. A European strategy needs to be set, through stakeholder engagement, for the governance of combined exposure to multiple chemicals and mixtures. The strategy would include research aimed at scientific advancement in mechanistic understanding and modelling techniques, as well as research to address regulatory and policy needs. Without such a clear strategy, specific objectives and common priorities, research, and policies to address mixtures will likely remain scattered and insufficient

The boy who cried wolf : based on a fable of Aesop

Cumple los requisitos del currículo de Inglaterra, Gales y Escocia aportando los conocimientos básicos relacionados con el aprendizaje de la lectura y escritura. Material para desarrollar la conciencia fonológica, conciencia de los sonidos en las palabras habladas,y el conocimiento de las relaciones simbolo y sonido, concentrándose en rimas y sonidos de las letras. La conciencia de los sonidos en los niños empieza con las palabras y las sílabas, pasa a los sonidos en las palabras y a continuación a los fonemas, los más difíciles de identificar, a excepción de cuando ocupan la posición inicial en una palabra. Para discriminar, escribir y leer el fonema oy. Para niños a partir de siete años.SCBiblioteca de Educación del Ministerio de Educación, Cultura y Deporte; Calle San Agustín, 5 - 3 planta; 28014 Madrid; Tel. +34917748000; [email protected]

The greedy fox : a fable a Aesop

Cumple los requisitos del currículo de Inglaterra, Gales y Escocia aportando los conocimientos básicos relacionados con el aprendizaje de la lectura y escritura. Material para desarrollar la conciencia fonológica, conciencia de los sonidos en las palabras habladas,y el conocimiento de las relaciones simbolo y sonido, concentrándose en rimas y sonidos de las letras. La conciencia de los sonidos en los niños empieza con las palabras y las sílabas, pasa a los sonidos en las palabras y a continuación a los fonemas, los más difíciles de identificar, a excepción de cuando ocupan la posición inicial en una palabra. Para discriminar, escribir y leer el fonema ee. Para niños entre seis y siete años.SCBiblioteca de Educación del Ministerio de Educación, Cultura y Deporte; Calle San Agustín, 5 - 3 planta; 28014 Madrid; Tel. +34917748000; [email protected]

Bears don't scare me : a traditional tale retold

Cumple los requisitos del currículo de Inglaterra, Gales y Escocia aportando los conocimientos básicos relacionados con el aprendizaje de la lectura y escritura. Material para desarrollar la conciencia fonológica, conciencia de los sonidos en las palabras habladas,y el conocimiento de las relaciones simbolo y sonido, concentrándose en rimas y sonidos de las letras. La conciencia de los sonidos en los niños empieza con las palabras y las sílabas, pasa a los sonidos en las palabras y a continuación a los fonemas, los más difíciles de identificar, a excepción de cuando ocupan la posición inicial en una palabra. Para discriminar, escribir y leer el fonema air. Para niños a partir de siete años.SCBiblioteca de Educación del Ministerio de Educación, Cultura y Deporte; Calle San Agustín, 5 - 3 planta; 28014 Madrid; Tel. +34917748000; [email protected]

Five tiny mice : a fable of Aesop

Cumple con los requisitos del currículo de Inglaterra, Gales y Escocia aportando los conocimientos básicos relacionados con el aprendizaje de la lectura y la escritura en niños de seis y siete años. El texto sirve de base para conocer e identificar los sonidos en las palabras. En esta historia, se trata el sonido 'i'de 'tiny', y en ella vemos como cinco ratoncitos viven asustados por el gato de la casa.SCBiblioteca de Educación del Ministerio de Educación, Cultura y Deporte; Calle San Agustín, 5 - 3 planta; 28014 Madrid; Tel. +34917748000; [email protected]