Literature DB >> 24385418

Effects of endogenous formaldehyde in nasal tissues on inhaled formaldehyde dosimetry predictions in the rat, monkey, and human nasal passages.

Jeffry D Schroeter1, Jerry Campbell, Julia S Kimbell, Rory B Conolly, Harvey J Clewell, Melvin E Andersen.   

Abstract

Formaldehyde is a nasal carcinogen in rodents at high doses and is an endogenous compound that is present in all living cells. Due to its high solubility and reactivity, quantitative risk estimates for inhaled formaldehyde have relied on internal dose estimates in the upper respiratory tract. Dosimetry calculations are complicated by the presence of endogenous formaldehyde concentrations in the respiratory mucosa. Anatomically accurate computational fluid dynamics (CFD) models of the rat, monkey, and human nasal passages were used to simulate uptake of inhaled formaldehyde. An epithelial structure was implemented in the nasal CFD models to estimate formaldehyde absorption from air:tissue partitioning, species-specific metabolism, first-order clearance, DNA binding, and endogenous formaldehyde production. At an exposure concentration of 1 ppm, predicted formaldehyde nasal uptake was 99.4, 86.5, and 85.3% in the rat, monkey, and human, respectively. Endogenous formaldehyde in nasal tissues did not significantly affect wall mass flux or nasal uptake predictions at exposure concentrations > 500 ppb; however, reduced nasal uptake was predicted at lower exposure concentrations. At an exposure concentration of 1 ppb, predicted nasal uptake was 17.5 and 42.8% in the rat and monkey; net desorption of formaldehyde was predicted in the human model. The nonlinear behavior of formaldehyde nasal absorption will affect the dose-response analysis and subsequent risk estimates at low exposure concentrations. Updated surface area partitioning of nonsquamous epithelium and average flux values in regions where DNA-protein cross-links and cell proliferation rates were measured in rats and monkeys are reported for use in formaldehyde risk models of carcinogenesis.

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Keywords:  computational fluid dynamics; endogenous; formaldehyde; nasal; pharmacokinetics

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Year:  2014        PMID: 24385418     DOI: 10.1093/toxsci/kft333

Source DB:  PubMed          Journal:  Toxicol Sci        ISSN: 1096-0929            Impact factor:   4.849


  5 in total

Review 1.  Mode of action-based risk assessment of genotoxic carcinogens.

Authors:  Andrea Hartwig; Michael Arand; Bernd Epe; Sabine Guth; Gunnar Jahnke; Alfonso Lampen; Hans-Jörg Martus; Bernhard Monien; Ivonne M C M Rietjens; Simone Schmitz-Spanke; Gerlinde Schriever-Schwemmer; Pablo Steinberg; Gerhard Eisenbrand
Journal:  Arch Toxicol       Date:  2020-06-15       Impact factor: 5.153

2.  Comparison of realistic and idealized breathing patterns in computational models of airflow and vapor dosimetry in the rodent upper respiratory tract.

Authors:  Sean M Colby; Senthil Kabilan; Richard E Jacob; Andrew P Kuprat; Daniel R Einstein; Richard A Corley
Journal:  Inhal Toxicol       Date:  2016       Impact factor: 2.724

3.  Reduction of Endogenous Melatonin Accelerates Cognitive Decline in Mice in a Simulated Occupational Formaldehyde Exposure Environment.

Authors:  Yufei Mei; Chunli Duan; Xiaoxiao Li; Yun Zhao; Fenghua Cao; Shuai Shang; Shumao Ding; Xiangpei Yue; Ge Gao; Hui Yang; Luxi Shen; Xueyan Feng; Jianping Jia; Zhiqian Tong; Xu Yang
Journal:  Int J Environ Res Public Health       Date:  2016-02-29       Impact factor: 3.390

Review 4.  Re-evaluation of the WHO (2010) formaldehyde indoor air quality guideline for cancer risk assessment.

Authors:  Gunnar Damgård Nielsen; Søren Thor Larsen; Peder Wolkoff
Journal:  Arch Toxicol       Date:  2016-05-21       Impact factor: 5.153

5.  New Approach Methodology for Assessing Inhalation Risks of a Contact Respiratory Cytotoxicant: Computational Fluid Dynamics-Based Aerosol Dosimetry Modeling for Cross-Species and In Vitro Comparisons.

Authors:  Richard A Corley; Andrew P Kuprat; Sarah R Suffield; Senthil Kabilan; Paul M Hinderliter; Kevin Yugulis; Tharacad S Ramanarayanan
Journal:  Toxicol Sci       Date:  2021-08-03       Impact factor: 4.849

  5 in total

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