Nasal sinus disease is one of the most common medical conditions in the US, affecting an estimated 13% of adults, or more than 29 million people. Nasal obstruction and smell loss are two of the major symptoms of the disease; however, the field currently lacks a clear, objective understanding to the mechanisms causing these symptoms, which limits effective disease management. For example, patients' complaints of nasal obstruction correlate poorly or inconsistently with objective measurements of actual physical obstruction. Olfactory loss has been widely believed to be induced in part by airflow blockage; however, no tool has been able to quantify or predict such a mechanism. We propose to develop and validate a novel objective diagnostic tool for nasal obstructive symptoms, based on two hypotheses (a) that perception of nasal obstruction (lack of patency) is due to lack of nasal cooling caused by physical nasal conditions, and/or inadequate sensory feedback, and (b) that insufficient conduction of air/odorant flow specifically to the olfactory region contributes to olfactory losses. To test these hypotheses and pursue a clinical tool, we will conduct a study and focus on three aims.
In Aim 1, we will use individualized computational fluid dynamics (CFD) nasal models based on patient CT scans to assess insufficient mucosal cooling due to existing airway abnormalities, and determine if this correlates with patient symptom ratings. We will further perturb patients' nasal airway temporarily with a nasal dilator and decongestant and test whether our approach can predict perceptual symptom changes.
In Aim 2, we will broadly assess the trigeminal cool sensitivity of patients with the symptom of nasal obstruction, and determine whether abnormal trigeminal cool sensitivity (including the TRPM8 pathway) contributes to symptoms. TRPM8 is a major component of the cool afferent pathway that is also activated chemically, which offers a unique dual investigatory tool and potentially broadens our understanding of chemosensory functions in nasal inflammatory disease.
In Aim 3, we will specifically target nasal polyp patients with olfactory losses, track their treatment progress, and determine if the CFD-predicted air transport and odorant sorption rate to the olfactory region correlate with olfactory function losses and recovery. The outcomes from this research may validate how to combine one or several measurements into an effective clinical tool to differentiate the causal factors leading to a patient's conductive symptoms, to potentially identify the site that most affects the symptom, and to guide move effective treatment or surgery in the future.

Public Health Relevance

Some 29.3 million people (13% of adults) in the US suffer from nasal sinus disease. Nasal obstruction and smell loss are two of the major symptoms of the disease that are crucial to disease management. Currently, we lack clinical tools to objectively evaluate the obstructive mechanisms contributing to these symptoms. The proposed study aims to develop and validate such an objective tool by combining novel computational models with sensory testing techniques.

Agency
National Institute of Health (NIH)
Institute
National Institute on Deafness and Other Communication Disorders (NIDCD)
Type
Research Project (R01)
Project #
7R01DC013626-02
Application #
9118609
Study Section
Somatosensory and Chemosensory Systems Study Section (SCS)
Program Officer
Sullivan, Susan L
Project Start
2014-12-01
Project End
2018-11-30
Budget Start
2015-09-25
Budget End
2015-11-30
Support Year
2
Fiscal Year
2015
Total Cost
Indirect Cost
Name
Ohio State University
Department
Otolaryngology
Type
Schools of Medicine
DUNS #
832127323
City
Columbus
State
OH
Country
United States
Zip Code
43210
Li, Chengyu; Farag, Alexander A; Maza, Guillermo et al. (2018) Investigation of the abnormal nasal aerodynamics and trigeminal functions among empty nose syndrome patients. Int Forum Allergy Rhinol 8:444-452
Eichaker, Lauren; Li, Chengyu; King, Nakesha et al. (2018) Quantification of tissue-engineered trachea performance with computational fluid dynamics. Laryngoscope 128:E272-E279
Patel, Tirth R; Li, Chengyu; Krebs, Jillian et al. (2018) Modeling congenital nasal pyriform aperture stenosis using computational fluid dynamics. Int J Pediatr Otorhinolaryngol 109:180-184
Lee, Thomas S; Goyal, Parul; Li, Chengyu et al. (2018) Computational Fluid Dynamics to Evaluate the Effectiveness of Inferior Turbinate Reduction Techniques to Improve Nasal Airflow. JAMA Facial Plast Surg 20:263-270
Maza, Guillermo; Li, Chengyu; Krebs, Jillian P et al. (2018) Computational fluid dynamics after endoscopic endonasal skull base surgery-possible empty nose syndrome in the context of middle turbinate resection. Int Forum Allergy Rhinol :
Li, Chengyu; Jiang, Jianbo; Kim, Kanghyun et al. (2018) Nasal Structural and Aerodynamic Features That May Benefit Normal Olfactory Sensitivity. Chem Senses 43:229-237
Li, Chengyu; Dong, Haibo; Zhao, Kai (2018) A balance between aerodynamic and olfactory performance during flight in Drosophila. Nat Commun 9:3215
Craig, John R; Palmer, James N; Zhao, Kai (2017) Computational fluid dynamic modeling of nose-to-ceiling head positioning for sphenoid sinus irrigation. Int Forum Allergy Rhinol 7:474-479
Li, Chengyu; Jiang, Jianbo; Dong, Haibo et al. (2017) Computational modeling and validation of human nasal airflow under various breathing conditions. J Biomech 64:59-68
Li, Chengyu; Farag, Alexander A; Leach, James et al. (2017) Computational fluid dynamics and trigeminal sensory examinations of empty nose syndrome patients. Laryngoscope 127:E176-E184

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