PMID- 30365389 OWN - NLM STAT- MEDLINE DCOM- 20190823 LR - 20190823 IS - 1528-7394 (Print) IS - 0098-4108 (Linking) VI - 81 IP - 20 DP - 2018 TI - Reverse dosimetry modeling of toluene exposure concentrations based on biomonitoring levels from the Canadian health measures survey. PG - 1066-1082 LID - 10.1080/15287394.2018.1534174 [doi] AB - Biomonitoring might provide useful estimates of population exposure to environmental chemicals. However, data uncertainties stemming from interindividual variability are common in large population biomonitoring surveys. Physiologically based pharmacokinetic (PBPK) models might be used to account for age- and gender-related variability in internal dose. The objective of this study was to reconstruct air concentrations consistent with blood toluene measures reported in the third Canadian Health Measures Survey using reverse dosimetry PBPK modeling techniques. Population distributions of model's physiological parameters were described based upon age, weight, and size for four subpopulations (12-19, 20-39, 40-59, and 60-79 years old). Monte Carlo simulations applied to PBPK modeling allowed converting the distributions of venous blood measures of toluene obtained from CHMS into related air levels. Based upon blood levels observed at the 50(th), 90(th) and 95(th) percentiles, corresponding air toluene concentrations were estimated for teenagers aged 12-19 years as being, respectively, 0.009, 0.04 and 0.06 ppm. Similarly, values were computed for adults aged 20-39 years (0.007, 0.036, and 0.06 ppm), 40-59 years (0.007, 0.036 and 0.06 ppm) and 60-79 years (0.006, 0.022 and 0.04 ppm). These estimations are well below Health Canada's maximum recommended chronic air guidelines for toluene. In conclusion, PBPK modeling and reverse dosimetry may be combined to help interpret biomonitoring data for chemical exposure in large population surveys and estimate the associated toxicological health risk. FAU - Tohon, Honesty AU - Tohon H AD - a Department of Environmental and Occupational Health , ESPUM, IRSPUM, Universite de Montreal , Montreal , (Qc.) , Canada. FAU - Nong, Andy AU - Nong A AD - b Exposure and Biomonitoring Division , Environmental Health Sciences and Research Bureau, Health Canada , Ottawa , ON , Canada. FAU - Moreau, Marjory AU - Moreau M AD - b Exposure and Biomonitoring Division , Environmental Health Sciences and Research Bureau, Health Canada , Ottawa , ON , Canada. FAU - Valcke, Mathieu AU - Valcke M AD - a Department of Environmental and Occupational Health , ESPUM, IRSPUM, Universite de Montreal , Montreal , (Qc.) , Canada. AD - c Direction de la sante environnementale et de la toxicologie , Institut national de sante publique du Quebec , Montreal , Quebec , Canada. FAU - Haddad, Sami AU - Haddad S AUID- ORCID: 0000-0001-8906-9693 AD - a Department of Environmental and Occupational Health , ESPUM, IRSPUM, Universite de Montreal , Montreal , (Qc.) , Canada. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20181026 PL - England TA - J Toxicol Environ Health A JT - Journal of toxicology and environmental health. Part A JID - 100960995 RN - 0 (Environmental Pollutants) RN - 3FPU23BG52 (Toluene) MH - Adolescent MH - Adult MH - Aged MH - Canada MH - Environmental Monitoring/*methods MH - Environmental Pollutants/*pharmacokinetics MH - Health Surveys MH - Humans MH - Middle Aged MH - Models, Biological MH - Monte Carlo Method MH - Toluene/*pharmacokinetics MH - Young Adult OTO - NOTNLM OT - Biomonitoring OT - CHMS OT - PBPK modeling OT - Reverse Dosimetry OT - Toluene EDAT- 2018/10/27 06:00 MHDA- 2019/08/24 06:00 CRDT- 2018/10/27 06:00 PHST- 2018/10/27 06:00 [pubmed] PHST- 2019/08/24 06:00 [medline] PHST- 2018/10/27 06:00 [entrez] AID - 10.1080/15287394.2018.1534174 [doi] PST - ppublish SO - J Toxicol Environ Health A. 2018;81(20):1066-1082. doi: 10.1080/15287394.2018.1534174. Epub 2018 Oct 26.