Literature DB >> 34388459

Computational modeling of nasal nitric oxide flux from the paranasal sinuses: Validation against human experiment.

Barak M Spector1, Dennis J Shusterman2, Andrew N Goldberg3, Edward M Weaver4, Alexander A Farag1, Bradley A Otto1, Kai Zhao5.   

Abstract

BACKGROUND: Nitric oxide (NO) is important in respiratory physiology and airway defense. Although the paranasal sinuses are the major source of nasal NO, transport dynamics between the sinuses and nasal cavities are poorly understood.
METHODS: Exhaled nasal NO tracings were measured in two non-asthmatic subjects (one with allergic rhinitis, one without) using NO analyzer connected via face mask. We subsequently performed computational fluid dynamics NO emission simulations based on individual CT scans and compared to the experimental data.
RESULTS: Simulated exhaled NO tracings match well with experimental data (r > 0.84, p < 0.01) for both subjects, with measured peaks reaching 319.6 ppb in one subject (allergic-rhinitis), and 196.9 ppb in the other. The CFD simulation accurately captured the peak differences, even though the initial sinus NO concentration for both cases was set to the same 9000 ppb based on literature value. Further, the CFD simulation suggests that ethmoid sinuses contributed the most (>67%, other sinuses combined <33%) to total nasal NO emission in both cases and that diffusion contributes more than convective transport. By turning off diffusion (setting NO diffusivity to ~0), the NO emission peaks for both cases were reduced by >70%.
CONCLUSION: Historically, nasal NO emissions were thought to be contributed mostly by the maxillary sinuses (the largest sinuses) and active air movement (convection). Here, we showed that the ethmoid sinuses and diffusive transport dominate the process. These findings may have a substantial impact on our view of nasal NO emission mechanisms and sinus physiopathology in general.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Diffusion; Nitric oxide; Nose; Paranasal sinuses

Mesh:

Substances:

Year:  2021        PMID: 34388459      PMCID: PMC8440472          DOI: 10.1016/j.compbiomed.2021.104723

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   6.698


  39 in total

1.  Dynamic assessment of paranasal sinus ventilation using xenon-enhanced computed tomography.

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Journal:  Ann Otol Rhinol Laryngol       Date:  1998-01       Impact factor: 1.547

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Authors:  Peter F Bove; Albert van der Vliet
Journal:  Free Radic Biol Med       Date:  2006-05-26       Impact factor: 7.376

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Authors:  V E Laubach; E G Shesely; O Smithies; P A Sherman
Journal:  Proc Natl Acad Sci U S A       Date:  1995-11-07       Impact factor: 11.205

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Journal:  N Engl J Med       Date:  1993-02-11       Impact factor: 91.245

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Authors:  T Runer; A Cervin; S Lindberg; R Uddman
Journal:  Otolaryngol Head Neck Surg       Date:  1998-09       Impact factor: 3.497

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  1 in total

1.  Use of computational fluid dynamics (CFD) to model observed nasal nitric oxide levels in human subjects.

Authors:  Dennis J Shusterman; Barak M Spector; Andrew N Goldberg; Edward M Weaver; Bradley A Otto; Kai Zhao
Journal:  Int Forum Allergy Rhinol       Date:  2021-12-18       Impact factor: 5.426

  1 in total

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