title: Modeling and predicting immunological effects of chemical stressors: characterization of a quantitative biomarker for immunological changes caused by atrazine and ethanol.
abstract: Previous studies demonstrate that the effects of one chemical stressor on selected immunological parameters can be predicted on the basis of the area under the corticosterone concentration vs. time curve. However, it is not clear if this is applicable to other chemical stressors. The present study was conducted to determine if the stress-induced immunological effects of atrazine and ethanol could be predicted, and if it is feasible to use one immunological parameter as a biomarker of stress to predict the quantity of changes expected in other immunological parameters. The area under the corticosterone concentration-versus-time curve (AUC) was measured in mice treated with ethanol (EtOH, 4, 5, 6, or 7 g/kg by oral gavage) or atrazine (ATZ, 100, 200, or 300 mg/kg, ip). The effects of the same dosages of these chemicals on thymus and spleen cellularity, lymphocyte subpopulations in the thymus and spleen, expression of MHC class II protein on splenocytes, antibody responses to keyhole limpet hemocyanin, and natural killer-cell activity were determined. Models were derived describing the relationship between corticosterone AUC and immunological changes induced by these chemicals. The results for these chemical stressors were more similar to results obtained from mice subjected to restraint stress than from mice treated with exogenous corticosterone. Some effects were greater than predicted on the basis of the stress response alone, indicating other mechanisms of immunotoxicity. One of the parameters (MHC class II expression) was evaluated as a predictive biomarker for stress-related immunosuppression, and the results suggest it could be suitable for that purpose.
authors.affiliation: Department of Cellular Biology and Anatomy, Louisiana State University Health Sciences Center, Shreveport, Louisiana 71130, USA. spruet@lsumc.edu
authors.forename: Stephen B
authors.initials: SB
authors.lastname: Pruett
authors.forename: Ruping
authors.initials: R
authors.lastname: Fan
authors.forename: Qiang
authors.initials: Q
authors.lastname: Zheng
authors.forename: L Peyton
authors.initials: LP
authors.lastname: Myers
authors.forename: Pamela
authors.initials: P
authors.lastname: Hebert
mesh_terms: D000284:Administration, Oral; D000818:Animals; D019540:Area Under Curve; D001280:Atrazine / Q000008:administration & dosage / Q000633:toxicity*; D015415:Biomarkers; D003345:Corticosterone / Q000378:metabolism; D004305:Dose-Response Relationship, Drug; D000431:Ethanol / Q000008:administration & dosage / Q000633:toxicity*; D005260:Female; D006540:Herbicides / Q000008:administration & dosage / Q000633:toxicity*; D000949:Histocompatibility Antigens Class II / Q000378:metabolism; D007107:Immune System / Q000187:drug effects* / Q000502:physiology; D007274:Injections, Intraperitoneal; D008297:Male; D051379:Mice; D008809:Mice, Inbred C3H; D008810:Mice, Inbred C57BL; D008954:Models, Biological; D011237:Predictive Value of Tests; D013154:Spleen / Q000187:drug effects / Q000378:metabolism / Q000473:pathology; D013312:Stress, Physiological / Q000139:chemically induced* / Q000276:immunology; D013950:Thymus Gland / Q000187:drug effects / Q000378:metabolism / Q000473:pathology
chemical_list: D015415:Biomarkers; D006540:Herbicides; D000949:Histocompatibility Antigens Class II; D000431:Ethanol; D001280:Atrazine; D003345:Corticosterone