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Assessment of Cross-Chemical Predictibility for Changes in Serum Clinical Bioindicators and EEG Produced by Pesticides with Different Modes of Action
Citation:
Freeborn, D., Kathy Mcdaniel, V. C. Moser, AND D. Herr. Assessment of Cross-Chemical Predictibility for Changes in Serum Clinical Bioindicators and EEG Produced by Pesticides with Different Modes of Action. Society of Toxicology (SOT) Annual Meeting, San Diego, CA, March 22 - 27, 2015.
Impact/Purpose:
This abstract will be presented at the Society of Toxicology (SOT) Annual Meeting, March 22-27-2015, San Diego, CA
Description:
Electroencephalography (EEG) is often used as an apical measure of multiple types of central nervous system (CNS) changes, while biomarkers in blood may serve as predictors for adverse outcomes. Correlation between these two measures would suggest that certain changes in biomarkers may be related to altered CNS function. Changes in brain cytokine levels have been reported to alter neuronal function and peripheral cytokines may alter peripheral nervous system function, which could in turn alter EEG activity. The EEG of awake Long-Evans rats was recorded after exposure to pesticides with different modes of action (permethrin, deltamethrin, fipronil, imidacloprid, carbaryl, triadimefon) at the time of maximum behavioral change. Animals were sacrificed after EEG testing and serum and plasma samples collected and processed by Myriad RBM using Rodent MAP• and RAT Metabolic MAP• assays as well as a Meso Scale Discovery• (MSD) 7plex ultra-sensitive assay, for blood levels of cytokines, hormones, and other biologically active proteins. For a given chemical, some biomarkers had significant within-subject correlations with EEG changes. Out of about 80 biomarkers that were monitored, 27 were altered by one or more pesticides, and of these, 22 were significantly correlated with alterations in EEG parameters. However, there were not consistent changes in the biomarkers that were associated with unique alteration(s) in the EEG parameter (s) reducing confidence in an association or causal relationship. These data do not demonstrate cross-chemical predictability for changes in serum clinical bioindicators and EEG. This is an abstract of a proposed presentation and does not necessarily reflect EPA policy.