Probabilistic Reference and 10% Effect Concentrations for Characterizing Inhalation Non-cancer and Developmental/Reproductive Effects for 2,160 Substances.

Environ Sci Technol

Quantitative Sustainability Assessment, Department of Environmental and Resource Engineering, Technical University of Denmark, Bygningstorvet 115, Kgs., Lyngby 2800, Denmark.

Published: May 2024

AI Article Synopsis

  • Chemicals assessment frameworks depend on regulatory toxicity values (like reference concentrations) derived from dose-response assessments, but there are only about 200 chemicals with these values for inhalation exposure.
  • To fill this gap, researchers developed a method to estimate surrogate inhalation toxicity values by using existing inhalation data from the U.S. EPA and adjusting it to human-equivalent concentrations, resulting in a suitable surrogate for regulatory values.
  • This approach generated toxicity values for 2,160 substances, including those with non-cancer and reproductive/developmental toxicity effects, ultimately enhancing the capacity for inhalation risk and impact assessments.

Article Abstract

Chemicals assessment and management frameworks rely on regulatory toxicity values, which are based on points of departure (POD) identified following rigorous dose-response assessments. Yet, regulatory PODs and toxicity values for inhalation exposure (, reference concentrations [RfCs]) are available for only ∼200 chemicals. To address this gap, we applied a workflow to determine surrogate inhalation route PODs and corresponding toxicity values, where regulatory assessments are lacking. We curated and selected inhalation data from the U.S. EPA's ToxValDB and adjusted reported effect values to chronic human equivalent benchmark concentrations (BMC) following the WHO/IPCS framework. Using ToxValDB chemicals with existing PODs associated with regulatory toxicity values, we found that the 25th %-ile of a chemical's BMC distribution () could serve as a suitable surrogate for regulatory PODs (Q ≥ 0.76, RSE ≤ 0.82 log units). We applied this approach to derive for 2,095 substances with general non-cancer toxicity effects and 638 substances with reproductive/developmental toxicity effects, yielding a total coverage of 2,160 substances. From these , we derived probabilistic RfCs and human population effect concentrations. With this work, we have expanded the number of chemicals with toxicity values available, thereby enabling a much broader coverage for inhalation risk and impact assessment.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11097392PMC
http://dx.doi.org/10.1021/acs.est.4c00207DOI Listing

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