Literature DB >> 19459775

Dosimetry of nasal uptake of water-soluble and reactive gases: a first study of interhuman variability.

Guilherme J M Garcia1, Jeffry D Schroeter, Rebecca A Segal, John Stanek, Gary L Foureman, Julia S Kimbell.   

Abstract

Certain inhaled chemicals, such as reactive, water-soluble gases, are readily absorbed by the nasal mucosa upon inhalation and may cause damage to the nasal epithelium. Comparisons of the spatial distribution of nasal lesions in laboratory animals exposed to formaldehyde with gas uptake rates predicted by computational models reveal that lesions usually occur in regions of the susceptible epithelium where gas absorption is highest. Since the uptake patterns are influenced by air currents in the nose, interindividual variability in nasal anatomy and ventilation rates due to age, body size, and gender will affect the patterns of gas absorption in humans, potentially putting some age groups at higher risk when exposed to toxic gases. In this study, interhuman variability in the nasal dosimetry of reactive, water-soluble gases was investigated by means of computational fluid dynamics (CFD) models in 5 adults and 2 children, aged 7 and 8 years old. Airflow patterns were investigated for allometrically scaled inhalation rates corresponding to resting breathing. The spatial distribution of uptake at the airway walls was predicted to be nonuniform, with most of the gas being absorbed in the anterior portion of the nasal passages. Under the conditions of these simulations, interhuman variability in dose to the whole nose (mass per time per nasal surface area) due to differences in anatomy and ventilation was predicted to be 1.6-fold among the 7 individuals studied. Children and adults displayed very similar patterns of nasal gas uptake; no significant differences were noted between the two age groups.

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Year:  2009        PMID: 19459775     DOI: 10.1080/08958370802320186

Source DB:  PubMed          Journal:  Inhal Toxicol        ISSN: 0895-8378            Impact factor:   2.724


  39 in total

1.  Identifying an indoor air exposure limit for formaldehyde considering both irritation and cancer hazards.

Authors:  Robert Golden
Journal:  Crit Rev Toxicol       Date:  2011-06-02       Impact factor: 5.635

2.  Computed nasal resistance compared with patient-reported symptoms in surgically treated nasal airway passages: a preliminary report.

Authors:  Julia S Kimbell; Guilherme J M Garcia; Dennis O Frank; Daniel E Cannon; Sachin S Pawar; John S Rhee
Journal:  Am J Rhinol Allergy       Date:  2012 May-Jun       Impact factor: 2.467

3.  Estimates of nasal airflow at the nasal cycle mid-point improve the correlation between objective and subjective measures of nasal patency.

Authors:  Courtney Gaberino; John S Rhee; Guilherme J M Garcia
Journal:  Respir Physiol Neurobiol       Date:  2017-01-09       Impact factor: 1.931

4.  Normative ranges of nasal airflow variables in healthy adults.

Authors:  Azadeh A T Borojeni; Guilherme J M Garcia; Masoud Gh Moghaddam; Dennis O Frank-Ito; Julia S Kimbell; Purushottam W Laud; Lisa J Koenig; John S Rhee
Journal:  Int J Comput Assist Radiol Surg       Date:  2019-07-02       Impact factor: 2.924

5.  Virtual septoplasty: a method to predict surgical outcomes for patients with nasal airway obstruction.

Authors:  Masoud Gh Moghaddam; Guilherme J M Garcia; Dennis O Frank-Ito; Julia S Kimbell; John S Rhee
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-02-20       Impact factor: 2.924

6.  Sex bias in rhinology research.

Authors:  Elizabeth D Stephenson; Zainab Farzal; Adam M Zanation; Brent A Senior
Journal:  Int Forum Allergy Rhinol       Date:  2018-07-20       Impact factor: 3.858

7.  On computational fluid dynamics models for sinonasal drug transport: Relevance of nozzle subtraction and nasal vestibular dilation.

Authors:  Saikat Basu; Dennis O Frank-Ito; Julia S Kimbell
Journal:  Int J Numer Method Biomed Eng       Date:  2018-01-18       Impact factor: 2.747

8.  Creation of an idealized nasopharynx geometry for accurate computational fluid dynamics simulations of nasal airflow in patient-specific models lacking the nasopharynx anatomy.

Authors:  Azadeh A T Borojeni; Dennis O Frank-Ito; Julia S Kimbell; John S Rhee; Guilherme J M Garcia
Journal:  Int J Numer Method Biomed Eng       Date:  2016-09-21       Impact factor: 2.747

9.  Uncertainties in biologically-based modeling of formaldehyde-induced respiratory cancer risk: identification of key issues.

Authors:  Ravi P Subramaniam; Chao Chen; Kenny S Crump; Danielle Devoney; John F Fox; Christopher J Portier; Paul M Schlosser; Chad M Thompson; Paul White
Journal:  Risk Anal       Date:  2008-06-28       Impact factor: 4.000

Review 10.  Cancer effects of formaldehyde: a proposal for an indoor air guideline value.

Authors:  Gunnar Damgård Nielsen; Peder Wolkoff
Journal:  Arch Toxicol       Date:  2010-05-14       Impact factor: 5.153

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