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Children's Environmental Health Proceedings of a Workshop (2023) / Chapter Skim
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Pages 42-50

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From page 42...
... . • Key points from the breakout session discussions were: o New toxicology methods, or alternative animal models, offer much promise.
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From page 43...
... Patel and his colleagues were able to link all the twin data with what they call the "environmental exposome warehouse," a database of air pollu tion, weather, and census social deprivation index data. Patel shared discoveries that his team has made with biobank data.
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From page 44...
... BREAKOUT SESSIONS Participants formed three breakout groups: alternative animal ­models, cumulative risk assessment, and biomarkers of exposure. Participants in each group answered the following: • What are opportunities and barriers?
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From page 45...
... Another barrier is the need to establish human relevancy for different alternative animal models. Often toxicity testing is too focused on single chemical interactions, and the doses are too high to be relevant to human exposure.
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From page 46...
... Many scientists and health agencies have recognized the importance of cumulative risk assessment, and the science is available to allow risk assessment across chemical classes, various classes of social determinants of health, and broad groups of nutrients, Birnbaum described. New options in TSCA also may allow for evaluating chemical categories.
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From page 47...
... One avenue to explore cumulative risks is that big data could be mined for potential interactions such as gene–environment interactions or those between different chemical exposures, social determinants, diet, and stress. Health system data, such as that from Kaiser or Geisinger, could be leveraged more often to evaluate environmental impacts on human health.
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From page 48...
... First is that to leverage all the data to discover and confirm associations, exposures, outcomes, and symptoms must be coded consistently. Further, technological advances, including machine learning and other data processing techniques, can 6 This section is based on a presentation by Marie Fortin, associate director of toxicology, Jazz Pharmaceuticals.
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From page 49...
... The working group also discussed that the EPA could continue advancing the field with broader agnostic biomarker approaches to investigate disease clusters. International collaborators may have large disease r­ egistries and cohorts, which could help the EPA advance exposure science, but although some cohorts and registries may be more homogenous than the United States, Fortin added that the EPA could educate decision makers on the value and power of the new data processing and analytic techniques (such as multi­variate analysis, machine learning)
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Key Terms

  • alternative animal
  • animal models
  • cumulative risk
  • biobank data
  • toxicity testing

  • chemical exposures
  • child health
  • environmental exposures
  • columbia center
  • risk score

  • birnbaum described
  • social determinants
  • biologically active
  • breakout sessions
  • big data

  • machine learning
  • adjustment factor
  • pregnant women
  • cell differentiation
  • protect children

  • using alternative
  • environmental exposure
  • data processing
  • exposomics data
  • potential solutions

  • marie fortin
  • patel shared
  • biological samples
  • establish human
  • cumulative risks


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