A data analysis approach for locomotor behavioral responses in developmentally exposed zebrafish

Area of Science:

• Toxicology
• Neuroscience
• Developmental Biology

Background:

• The larval zebrafish locomotor response light/dark (LMR L/D) assay is a valuable tool for assessing developmental neurotoxicity (DNT).
• However, a lack of standardized data analysis has hindered cross-laboratory comparisons and data integration.
• This limits the assay's full potential in DNT hazard identification.

Purpose of the Study:

• To develop and validate a standardized concentration-response modeling workflow for the LMR L/D assay.
• To improve the analysis of behavioral endpoints in developing zebrafish exposed to chemicals.
• To enhance data transferability and reproducibility in DNT research.

Main Methods:

• A concentration-response modeling workflow was proposed, incorporating 13 behavioral endpoints.
• Data from 61 chemicals previously tested in the LMR L/D assay were re-analyzed.
• Box-Cox transformation was used for data normalization; bidirectional curve-fitting and biphasic models were applied.

Main Results:

• The workflow successfully identified chemical-induced changes in zebrafish behavior.
• Commonly studied endpoints were most active, but less common ones detected activity for ten chemicals.
• Bidirectional and biphasic models proved informative, especially for low-concentration effects.

Conclusions:

• The standardized workflow enhances the utility of the LMR L/D assay for DNT hazard assessment.
• Incorporating less common endpoints and advanced modeling increases sensitivity to chemical effects.
• This work supports global efforts to standardize DNT testing and improve data integration.