Building a European exposure science strategy

Fantke, Peter; Goetz, Natalie von; Schlüter, Urs; Bessems, Jos; Connolly, Alison; Dudzina, Tatsiana; Ahrens, Andreas; Bridges, Jim; Coggins, Marie; Conrad, André; Hänninen, Otto; Heinemeyer, Gerhard; Stylianos, Kephalopoulos; McLachlan, Michael S.; Meijster, Tim; Poulsen, Véronique; Rother, Dag; Vermeire, Theo; Viegas, Susana; Vlaanderen, Jelle; Jeddi, Maryam Zare; Bruin, Yuri Bruinen de

doi:10.1038/s41370-019-0193-7

Cited by 22 publications

(18 citation statements)

References 39 publications

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“…ISES Europe (the European Regional Chapter of the International Society of Exposure Science) identified exposure modelling as one priority area for the strategic development of exposure science in Europe in the coming years [16,17]. Additionally, the ongoing scientific discussion about parts of the theoretical background and applicability of some frequently used tools/models in occupational-exposure assessment (i.e., ART and STOFFENMANAGER ® ; [10,11]) and mass-balance-based modelling approaches (e.g., [18] or [19]) in general highlights the importance of occupational-exposure models for regulatory purposes and their relevance for exposure science.…”

Section: Workhop Organizationmentioning

confidence: 99%

Theoretical Background of Occupational-Exposure Models—Report of an Expert Workshop of the ISES Europe Working Group “Exposure Models”

Schlüter

Arnold

Borghi

et al. 2022

IJERPH

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On 20 October 2020, the Working Group “Exposure Models” of the Europe Regional Chapter of the International Society of Exposure Science (ISES Europe) organised an online workshop to discuss the theoretical background of models for the assessment of occupational exposure to chemicals. In this report, participants of the workshop with an active role before and during the workshop summarise the most relevant discussion points and conclusions of this well-attended workshop. ISES Europe has identified exposure modelling as one priority area for the strategic development of exposure science in Europe in the coming years. This specific workshop aimed to discuss the main challenges in developing, validating, and using occupational-exposure models for regulatory purposes. The theoretical background, application domain, and limitations of different modelling approaches were presented and discussed, focusing on empirical “modifying-factor” or “mass-balance-based” approaches. During the discussions, these approaches were compared and analysed. Possibilities to address the discussed challenges could be a validation study involving alternative modelling approaches. The wider discussion touched upon the close relationship between modelling and monitoring and the need for better linkage of the methods and the need for common monitoring databases that include data on model parameters.

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Section: Workhop Organizationmentioning

confidence: 99%

Theoretical Background of Occupational-Exposure Models—Report of an Expert Workshop of the ISES Europe Working Group “Exposure Models”

Schlüter

Arnold

Borghi

et al. 2022

IJERPH

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“…Several knowledge bases, such as the NCATS Translator [47], Monarch Initiative [48], and PheKnowLator [49], are incorporating environmental and chemical exposures from sources, such as the CTD and AOP Wiki [50], and linking that information to other knowledge constructs (e.g., diseases, phenotypes, genes, variants, therapeutics). A European strategy for exposure science has been proposed that includes substantial community building and data integration infrastructure development [51].…”

Section: Recent Effortsmentioning

confidence: 99%

Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences through a Community-Driven Harmonized Language

Holmgren

Boyles

Cronk

et al. 2021

IJERPH

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Harmonized language is critical for helping researchers to find data, collecting scientific data to facilitate comparison, and performing pooled and meta-analyses. Using standard terms to link data to knowledge systems facilitates knowledge-driven analysis, allows for the use of biomedical knowledge bases for scientific interpretation and hypothesis generation, and increasingly supports artificial intelligence (AI) and machine learning. Due to the breadth of environmental health sciences (EHS) research and the continuous evolution in scientific methods, the gaps in standard terminologies, vocabularies, ontologies, and related tools hamper the capabilities to address large-scale, complex EHS research questions that require the integration of disparate data and knowledge sources. The results of prior workshops to advance a harmonized environmental health language demonstrate that future efforts should be sustained and grounded in scientific need. We describe a community initiative whose mission was to advance integrative environmental health sciences research via the development and adoption of a harmonized language. The products, outcomes, and recommendations developed and endorsed by this community are expected to enhance data collection and management efforts for NIEHS and the EHS community, making data more findable and interoperable. This initiative will provide a community of practice space to exchange information and expertise, be a coordination hub for identifying and prioritizing activities, and a collaboration platform for the development and adoption of semantic solutions. We encourage anyone interested in advancing this mission to engage in this community.

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“…The proposed framework integrates the current state of knowledge of SVOC exposure in indoor environments to advance chemical exposure assessment. Exposure science plays a crucial role in a fully integrated system of chemical risk assessment to inform and prioritize higher tier toxicity testing, describe and rank risks, and develop and evaluate models. − The driving context for development of this framework was to facilitate efficient integration of exposure estimates derived using this framework with toxicity data for different end points and toxicokinetic mechanisms to accelerate chemical risk prioritization. ,, As an example of such an approach, Shin et al proposed a strategy to combine exposure estimates based on intake rates with toxicity data derived from ToxCast in vitro bioactivity assays, deriving bioactivity quotients (BQ) for HT risk ranking and prioritization. Another example can be found in Li et al, who used a dimensionless risk assessment factor (RAF), that is, the ratio of actual emission or application rate to a critical emission or application rate, to rank chemicals.…”

Section: Implications and Recommendationsmentioning

confidence: 99%

Assessing Human Exposure to SVOCs in Materials, Products, and Articles: A Modular Mechanistic Framework

Eichler

Hubal

et al. 2020

Environ. Sci. Technol.

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A critical review of the current state of knowledge of chemical emissions from indoor sources, partitioning among indoor compartments, and the ensuing indoor exposure leads to a proposal for a modular mechanistic framework for predicting human exposure to semivolatile organic compounds (SVOCs). Mechanistically consistent source emission categories include solid, soft, frequent contact, applied, sprayed, and high temperature sources. Environmental compartments are the gas phase, airborne particles, settled dust, indoor surfaces, and clothing. Identified research needs are the development of dynamic emission models for several of the source emission categories and of estimation strategies for critical model parameters. The modular structure of the framework facilitates subsequent inclusion of new knowledge, other chemical classes of indoor pollutants, and additional mechanistic processes relevant to human exposure indoors. The framework may serve as the foundation for developing an open-source community model to better support collaborative research and improve access for application by stakeholders. Combining exposure estimates derived using this framework with toxicity data for different end points and toxicokinetic mechanisms will accelerate chemical risk prioritization, advance effective chemical management decisions, and protect public health.

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Building a European exposure science strategy

Cited by 22 publications

References 39 publications

Theoretical Background of Occupational-Exposure Models—Report of an Expert Workshop of the ISES Europe Working Group “Exposure Models”

Theoretical Background of Occupational-Exposure Models—Report of an Expert Workshop of the ISES Europe Working Group “Exposure Models”

Catalyzing Knowledge-Driven Discovery in Environmental Health Sciences through a Community-Driven Harmonized Language

Assessing Human Exposure to SVOCs in Materials, Products, and Articles: A Modular Mechanistic Framework

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