Evaluation and modeling of the impact of coexposures to VOC mixtures on urinary biomarkers. (11th May 2016)

• Record Type: Journal Article
• Authors: Marchand, Axelle; Aranda-Rodriguez, Rocio; Tardif, Robert; Nong, Andy; Haddad, Sami
• Is Part Of: Inhalation toxicology. Volume 28:Number 6(2016)
• Page Start: 260
• Page End: 273
• Publication Date: 2016-05-11
• Subjects: mixtures -- PBPK modeling -- urinary biomarkers -- VOC; Pulmonary toxicology -- Animal models -- Periodicals; Pulmonary toxicology -- Periodicals; Air -- Pollution -- Health aspects -- Periodicals; 616.200471
• DOI: 10.3109/08958378.2016.1162232
• Languages: English
• ISSNs: 0895-8378

Abstract

Abstract: Context : Urinary biomarkers are widely used among biomonitoring studies because of their ease of collection and nonintrusiveness. Chloroform and TEX (i.e., toluene, ethylbenzene, and m-xylene) are chemicals that are often found together because of common use. Although interactions occurring among TEX are well-known, no information exists on possible kinetic interactions between these chemicals and chloroform at the level of parent compound or urinary biomarkers. Objective : The objective of this study was therefore to study the possible interactions between these compounds in human volunteers with special emphasis on the potential impact on urinary biomarkers. Materials and methods : Five male volunteers were exposed by inhalation for 6 h to single, binary, and quaternary mixtures that included chloroform. Exhaled air and blood samples were collected and analyzed for parent compound concentrations. Urinary biomarkers (o-cresol, mandelic, and m-methylhippuric acids) were quantified in urine samples. Published PBPK model for chloroform was used, and a Vmax of 3.4 mg/h/kg was optimized to provide a better fit with blood data. Adapted PBPK models from our previous study were used for parent compounds and urinary biomarkers for TEX. Results : Binary exposures with chloroform resulted in no significant interactions. Experimental data for quaternary mixture exposures were well predicted by PBPK models using published description of competitive inhibition among TEX components. However, no significant interactions were observed at levels used in this study. Conclusion : PBPK models for urinary biomarkers proved to be a good tool in quantifying exposure to VOC.