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Quantifying the interactions among metal mixtures in toxicodynamic process with generalized linear model.

Jianfeng Feng1, Yongfei Gao2, Yijun Ji1

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Metal mixture toxicity prediction is complex due to interactions. This study shows that metal mixture interactions are time-dependent during toxicodynamic processes, impacting toxicity predictions.

Keywords:
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Area of Science:

  • Environmental toxicology
  • Ecotoxicology
  • Chemical risk assessment

Background:

  • Predicting chemical mixture toxicity is challenging due to complex interactions (additive, antagonistic, synergistic).
  • Metal mixtures exhibit dominant antagonistic and synergistic interactions, potentially linked to exposure concentrations.
  • The time-dependency of metal mixture interaction types during toxicodynamic (TD) processes remains poorly understood due to limited models and data.

Purpose of the Study:

  • To investigate the time-dependent nature of metal mixture interactions during toxicodynamic processes.
  • To evaluate the utility of the generalized linear model (GLM) for analyzing metal mixture toxicity and interaction types.
  • To assess the combined toxicities of binary metal mixtures (Cu-Zn, Cu-Cd, Cd-Pb, Ni-Co) across different exposure times.

Main Methods:

  • Utilized the generalized linear model (GLM) to analyze binary metal mixture toxicities in zebrafish larvae (Danio rerio) and earthworms (Oligochaeta Enchytraeus crypticus).
  • Applied GLM to identify and quantify interaction types, comparing them with traditional concentration addition (CA) and independent action (IA) models.
  • Examined metal mixture toxicity and interaction types at different time points during the toxicodynamic (TD) process.

Main Results:

  • Metal mixture interactions (Cu-Zn, Cu-Cd, Cd-Pb, Ni-Co) were found to be time-dependent during the TD process.
  • Interactive coefficients significantly changed across different exposure times (p<0.05), confirming the temporal influence on interaction types.
  • The generalized linear model (GLM) effectively quantified these time-dependent interactions.

Conclusions:

  • Metal mixture toxicity is influenced by time-dependent interactions during toxicodynamic processes.
  • Accurate prediction of metal mixture toxicology requires consideration of joint actions and their temporal dynamics.
  • The generalized linear model (GLM) offers a valuable approach for analyzing and predicting metal mixture toxicity, serving as an alternative or complement to existing models like BLM.