Advances in quantifying non-apical outcome risk of exposure to chemical mixtures of air pollutants via a common molecular target
Abstract
Air pollution is a complex mixture composed of chemicals differentially distributed across space. Its impact on apical outcomes such as cardiovascular and respiratory diseases is well documented. Increased public health protection and elucidation of biological mechanisms of toxicity can potentially be learned from integrating non-apical outcomes from toxicological data such as gene regulation, enzymatic activity, or cell signaling with real-world air pollution exposure data. Recent work from Eccles et al. (In Review) demonstrated a proof-of-concept framework for geospatially resolved biological target-based risk assessment of chemical mixtures based on the chemical perturbations of a common molecular target. The work leveraged modeled ambient chemical exposures in air from the USA-wide National Air Toxics Assessment and chemical hazard data from the bioactivity of curated high-throughput screening assays to identify regions where exposure to chemical mixtures may perturb the same biological target - CYP1A1 mRNA transcription upregulation. Here, we will discuss the recent advances in quantifying non-apical outcome risk of air pollutant chemical mixtures via common molecular targets including the geospatial data needs to facilitate improved connections between high-throughput toxicological data and geospatially resolved air pollution exposure data. Lastly, we will discuss how this framework can aid air pollution risk assessment methods and draw stronger connections between chemical exposures and biological effects using adverse outcome pathways.
- Publication:
-
AGU Fall Meeting Abstracts
- Pub Date:
- December 2022
- Bibcode:
- 2022AGUFMGH42C0670M