Multiscale Modeling Identifies Cardiovascular Risks from Common Chemical Exposures
Researchers applied a computational toxicology workflow to assess 859 chemicals — including pesticides, flame retardants, and personal care product ingredients — for cardiovascular risk, identifying 17 substances where estimated human exposure exceeded in vitro-derived bioactive doses by more than 100-fold. The study combined high-throughput screening data from over 300 assays with physiologically based pharmacokinetic (PBPK) modeling to translate lab findings into human-relevant exposure estimates. The findings support a shift toward animal-free risk assessment methods and provide a scalable framework for identifying cardiotoxic chemicals at the population level.
A preprint study posted to bioRxiv describes an integrative, multiscale computational framework designed to identify chemicals posing cardiovascular risks at real-world human exposure levels. The researchers assessed 859 substances — spanning pharmaceuticals, pesticides, herbicides, flame retardants, industrial byproducts, and personal care product ingredients — using data from more than 300 high-throughput screening assays targeting cardiovascular-relevant molecular pathways, including endothelial cell signaling and nuclear hormone receptors. Physiologically based pharmacokinetic (PBPK) models were used to convert in vitro bioactive concentrations into human equivalent administered doses (EADs), which were then compared against real-world human exposure estimates and animal-derived toxicological benchmarks. Notably, in vitro cardiovascular assays proved more risk-protective than animal studies for 96.4% of the chemicals evaluated, suggesting that cell-based screening may be a more sensitive tool for detecting human cardiovascular hazard. Seventeen chemicals showed a bioactivity exposure ratio (BER) more than two orders of magnitude below safety thresholds, indicating that estimated human exposures exceed bioactive doses by over 100-fold. Geospatial analysis was also incorporated to assess population-level risk distribution. The authors argue the framework supports evidence-based regulatory decision-making and aligns with growing momentum to replace or reduce animal testing in toxicology.
What's missing
As a preprint, this study has not yet undergone peer review, and its findings should be interpreted with caution. The study does not identify which specific 17 high-concern chemicals were flagged, limiting immediate public health actionability. Key limitations include reliance on modeled rather than measured human exposure data, uncertainty in PBPK model parameters across diverse chemical classes, and the inherent challenge of extrapolating in vitro bioactivity to in vivo cardiovascular disease outcomes. The study does not establish causation between chemical exposure and clinical cardiovascular events, and the geospatial risk analysis methodology is not detailed in the abstract.
What different sources said
- bioRxivCenter
Multiscale Modeling Identifies Cardiovascular Risk from Common Chemical Exposures
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