PMID- 30024383 OWN - NLM STAT- MEDLINE DCOM- 20190329 LR - 20190329 IS - 1552-9924 (Electronic) IS - 0091-6765 (Print) IS - 0091-6765 (Linking) VI - 126 IP - 7 DP - 2018 Jul TI - Evaluation of a Physiologically Based Pharmacokinetic (PBPK) Model for Inorganic Arsenic Exposure Using Data from Two Diverse Human Populations. PG - 077004 LID - 10.1289/EHP3096 [doi] LID - 077004 AB - BACKGROUND: Multiple epidemiological studies exist for some of the well-studied health endpoints associated with inorganic arsenic (iAs) exposure; however, results are usually expressed in terms of different exposure/dose metrics. Physiologically based pharmacokinetic (PBPK) models may be used to obtain a common exposure metric for application in dose-response meta-analysis. OBJECTIVE: A previously published PBPK model for inorganic arsenic (iAs) was evaluated using data sets for arsenic-exposed populations from Bangladesh and the United States. METHODS: The first data set was provided by the Health Effects of Arsenic Longitudinal Study cohort in Bangladesh. The second data set was provided by a study conducted in Churchill County, Nevada, USA. The PBPK model consisted of submodels describing the absorption, distribution, metabolism and excretion (ADME) of iAs and its metabolites monomethylarsenic (MMA) and dimethylarsenic (DMA) acids. The model was used to estimate total arsenic levels in urine in response to oral ingestion of iAs. To compare predictions of the PBPK model against observations, urinary arsenic concentration and creatinine-adjusted urinary arsenic concentration were simulated. As part of the evaluation, both water and dietary intakes of arsenic were estimated and used to generate the associated urine concentrations of the chemical in exposed populations. RESULTS: When arsenic intake from water alone was considered, the results of the PBPK model underpredicted urinary arsenic concentrations for individuals with low levels of arsenic in drinking water and slightly overpredicted urinary arsenic concentrations in individuals with higher levels of arsenic in drinking water. When population-specific estimates of dietary intakes of iAs were included in exposures, the predictive value of the PBPK model was markedly improved, particularly at lower levels of arsenic intake. CONCLUSIONS: Evaluations of this PBPK model illustrate its adequacy and usefulness for oral exposure reconstructions in human health risk assessment, particularly in individuals who are exposed to relatively low levels of arsenic in water or food. https://doi.org/10.1289/EHP3096. FAU - El-Masri, Hisham A AU - El-Masri HA AD - National Health and Environmental Effects Research Laboratory, Office of Research and Development (ORD), U.S. Environmental Protection Agency (EPA), Durham, North Carolina, USA. FAU - Hong, Tao AU - Hong T AD - ICF International, Inc., Durham, North Carolina, USA. FAU - Henning, Cara AU - Henning C AD - ICF International, Inc., Durham, North Carolina, USA. FAU - Mendez, William Jr AU - Mendez W Jr AD - ICF International Inc., Fairfax, Virginia, USA. FAU - Hudgens, Edward E AU - Hudgens EE AD - National Health and Environmental Effects Research Laboratory, Office of Research and Development (ORD), U.S. Environmental Protection Agency (EPA), Durham, North Carolina, USA. FAU - Thomas, David J AU - Thomas DJ AD - National Health and Environmental Effects Research Laboratory, Office of Research and Development (ORD), U.S. Environmental Protection Agency (EPA), Durham, North Carolina, USA. FAU - Lee, Janice S AU - Lee JS AD - National Center for Environmental Assessment, ORD, EPA, Durham, North Carolina, USA. LA - eng GR - P42 ES010349/ES/NIEHS NIH HHS/United States GR - R24 ES028532/ES/NIEHS NIH HHS/United States PT - Journal Article DEP - 20180716 PL - United States TA - Environ Health Perspect JT - Environmental health perspectives JID - 0330411 RN - 0 (Arsenicals) RN - 0 (Drinking Water) RN - 0 (Water Pollutants, Chemical) RN - N712M78A8G (Arsenic) SB - IM EIN - Environ Health Perspect. 2018 Sep;126(9):99002. PMID: 30392381 MH - Adult MH - Aged MH - Arsenic/*pharmacokinetics/urine MH - Arsenicals/*pharmacokinetics/urine MH - Bangladesh MH - Drinking Water/analysis MH - Environmental Exposure/*analysis MH - Female MH - Food Contamination/analysis MH - Humans MH - Longitudinal Studies MH - Male MH - Middle Aged MH - Models, Theoretical MH - Nevada MH - Risk Assessment MH - Water Pollutants, Chemical/*pharmacokinetics/urine MH - Young Adult PMC - PMC6108830 EDAT- 2018/07/20 06:00 MHDA- 2019/03/30 06:00 PMCR- 2018/07/16 CRDT- 2018/07/20 06:00 PHST- 2017/11/13 00:00 [received] PHST- 2018/05/24 00:00 [revised] PHST- 2018/06/08 00:00 [accepted] PHST- 2018/07/20 06:00 [entrez] PHST- 2018/07/20 06:00 [pubmed] PHST- 2019/03/30 06:00 [medline] PHST- 2018/07/16 00:00 [pmc-release] AID - EHP3096 [pii] AID - 10.1289/EHP3096 [doi] PST - epublish SO - Environ Health Perspect. 2018 Jul 16;126(7):077004. doi: 10.1289/EHP3096. eCollection 2018 Jul.