account exposure concentrations predictions cannot

The gap

Supporting evidence — 3 representative gaps

• Integrating multi-omics, EWAS, and reverse network toxicology to explore environmental pollutant risks in erectile dysfunction (2026) · doi

  Pollutant screening was based solely on in silico predictions from the CTD database and cannot account for the combined effects of exposure mixtures or inter-individual variability in real-world settings. Future research should adopt exposomic approaches by utilizing measured pollutant concentrations in human biosamples to validate associations between benzo[a]pyrene, bisphenol F, tetrabromobisphenol A, and chlorpyrifos exposure in more realistic environmental settings.

  Keywords: exposomic approaches pollutant mixtures CTD database biosamples benzo[a]pyrene bisphenol F tetrabromobisphenol A chlorpyrifos
• Computational Toxicology of Environmental Microplastics: In-Silico Prediction of Emerging Hepatotoxic Risks through Molecular Docking and ADMET Profiling (2026) · doi

  Binding energy alone does not account for exposure duration, intracellular concentrations, metabolic compensation, or tissue-level adaptive responses, making it difficult to convert docking-derived binding affinities into significant in vivo toxicity results.

  Keywords: binding energy alone account exposure duration intracellular concentrations metabolic compensation tissue level adaptive responses making
• Toward healthy air quality under CMIP6 scenarios: insights into the compliance with the new WHO guidelines in China (2026) · doi

  The exposure-response coefficients do not account for possible non-linearities at very low or very high pollution concentrations.

  Keywords: exposure response coefficients account possible linearities high pollution concentrations