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NCT Number: NCT06841913

Woodsmoke Exposure, Influenza Infection, and Nasal Immunity

This study will investigate the effects of woodsmoke (WS) exposure on human nasal mucosal immune responses to viral infection. The study tests the hypotheses that WS exposure modifies biomarkers of nasal mucosal immune function, increases in Live Attenuated Influenza Virus (LAIV) -induced nasal symptoms, and reduces mucosal antibody production.

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Key information

Age range

18 year–49 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Phase 4

Primary location

Mary Ellen Jones

Chapel Hill, North Carolina, 27599, United States

Location status: Recruiting

About this study

This study will investigate the effects of woodsmoke (WS) exposure on human nasal mucosal immune responses to viral infection. The study tests the hypotheses that WS exposure modifies biomarkers of nasal mucosal immune function, increases LAIV-induced nasal symptoms, and reduces mucosal antibody production. Healthy volunteers will be randomized for a 2-hr exposure to WS or placebo (filtered air) and then inoculated with either live attenuated influenza virus (LAIV) or placebo. Nasal mucosal samples, symptoms, and peripheral blood will be collected on days 1,2,3,7, and 21 post-exposure/LAIV and assessed for a) mucosal antiviral responses using targeted and non-targeted analysis of the secretome and tissue-level gene expression; b) symptoms, virus quantity, differential cell count, and virus-specific antibody levels; and c) biomarker signatures associated with infection outcomes using computational modeling tools.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • Normal lung function,
  • oxygen saturation of >94%,
  • normal blood pressure,
  • no respiratory symptoms on history, no abnormalities on exam, normal pulmonary function testing,
  • 18-49 Years of age.

Exclusion criteria

  • A history of significant chronic illnesses (to include diabetes, autoimmune diseases, immunodeficiency state, known ischemic heart disease, chronic respiratory diseases such as chronic obstructive pulmonary disease or asthma, hypertension)
  • Positive pregnancy test within 48 hours of the time of challenge
  • Use of any inhaled substance (for medical or recreational purposes).
  • Nonsmokers must have been abstinent from smoking for the prior 12 months, having not smoked more than 1 pack over the course of the previous year.
  • History of allergy to eggs
  • Acute, non-chronic, medical conditions, including (but not limited to) pneumonia or bronchitis requiring antibiotics, febrile illnesses, flu-like symptoms must be totally resolved symptomatically for 3 weeks
  • Unspecified illnesses, which in the judgment of the investigator increase the risk associated with the experimental LAIV infection, will be a basis for exclusion.
  • Expected exposure of subject to immunocompromised individuals (who can be infected by LAIV) for the 3 weeks following LAIV inoculation.
  • Use of immunosuppressive drugs within the past 6 months.
  • Previous Woodsmoke exposure <3 weeks, which is considered to an appropriate washout period

Treatment and study plan

LAIV nasal vaccine is chosen as a model viral infection

Biological

Inoculation with LAIV

Other names: Live Attenuated Influenza Vaccine, Flumist

wood smoke

Other

Wood smoke exposure concentrations at 500 ug/m3 for two hours.

Placebo for LAIV nasal vaccine is chosen as a model viral infection

Biological

Placebo for LAIV inoculation. Nasal administration of normal saline.

Placebo for Wood Smoke (clean Air Exposure)

Other

Clean Air Exposure for 2 hours

Primary outcomes

  1. Nasal Mucosal secretome (AUC)

    Time frame: Day 0 to Day 7

    Analysis of the nasal mucosal secretome (secreted factors identified as responsive to WS and/or LAIV). Area under the curve (AUC) will be calculated for each proteomic profile. Descriptive statistics (means and standard deviations) will be computed for outcomes of interest (AUCs), assuming normal distribution as in previous studies.

  2. Gene Expression (AUC)

    Time frame: Day 0 to Day 7

    Tissue-level gene expression (genes identified as responsive to WS and/or LAIV) and assessed for: tissue-level gene expression and untargeted metabolomic and proteomic profiles. Area under the curve (AUC) will be calculated for each gene profile. Descriptive statistics (means and standard deviations) will be computed for outcomes of interest (AUCs), assuming normal distribution as in previous studies.

  3. Virus Quantity (AUC)

    Time frame: Day 0 to Day 7

    Virus quantity in nasal secretions

  4. Nasal Neutrophils (AUC)

    Time frame: Day 0 to Day 7

    nasal secretion

  5. Nasal Viral Antibodies (AUC)

    Time frame: Day 0 to Day 7

    virus-specific antibody levels in nasal secretions

  6. Blood Viral Antibodies (AUC)

    Time frame: Day 0 to Day 7

    virus-specific antibody levels in blood

Secondary outcomes

  1. Peak Tissue gene expression

    Time frame: Day 0 to Day 21

    Peak value of Tissue-level gene expression (genes identified as responsive to WS and/or LAIV)

  2. Peak nasal secretome

    Time frame: Day 0 to Day 21

    Peak Analysis value of the nasal mucosal secretome (secreted factors identified as responsive to WS and/or LAIV)

  3. Peak Nasal Virus quantity

    Time frame: Day 0 to day 21

    Peak value of Virus quantity in nasal secretions

  4. Peak nasal neutrophils

    Time frame: Day 0 to Day 21

    Peak value of nasal neutrophils

  5. Peak Nasal virus anti-bodies

    Time frame: Day 0 to Day 21

    Peak value of virus-specific antibody levels in nasal secretions

  6. Peak blood virus anti-bodies

    Time frame: Day 0 to Day 21

    Peak value of virus-specific antibody levels in blood

  7. Peak Day of Tissue Gene Expression

    Time frame: Day 0 to Day 21

    Peak Day of Tissue-level gene expression (genes identified as responsive to WS and/or LAIV)

  8. Peak Day of nasal secretome

    Time frame: Day 0 to Day 21

    Peak Analysis Day of the nasal mucosal secretome (secreted factors identified as responsive to WS and/or LAIV)

  9. Peak Day of Nasal Virus quantity

    Time frame: Day 0 to day 21

    Peak Day of Virus quantity in nasal secretions

  10. Peak Day of nasal neutrophils

    Time frame: Day 0 to Day 21

    Peak Day of nasal secretion

  11. Peak Day of Nasal virus anti-bodies

    Time frame: Day 0 to Day 21

    Peak day of virus-specific antibody levels in nasal secretions

  12. Peak Day of blood virus anti-bodies

    Time frame: Day 0 to Day 21

    Peak Day of virus-specific antibody levels in blood

  13. Peak Symptom score

    Time frame: Day 0-21

    Flu symptom questionnaire. A score from 0-18 will be recorded. Zero being symptom free and 18 the most symptomatic.

  14. Peak day of symptom score

    Time frame: Day 0-21

    Flu symptom questionnaire. A score from 0-18 will be recorded. Zero being symptom free and 18 the most symptomatic. The day in which there is the highest score will be recorded.

Study contacts

Contact information is provided by the study sponsor or research team.

Carole Robinette, MS

CONTACT

[email protected]

919 966-5638

Chris Brooks

CONTACT

[email protected]

Sponsors and collaborators

Lead sponsor

University of North Carolina, Chapel Hill

Other

Collaborators

  • National Institute of Environmental Health Sciences (NIEHS)
  • National Institutes of Health (NIH)

Registry information

Official study title

The Effects of Woodsmoke Exposure on Nasal Immune Responses to Influenza Infection in Normal Human Volunteers

Acronym: SmokeyFlu

Important dates

Study start
2025
Primary completion
2028
Study completion
2028
First posted
Feb 24, 2025
Registry last updated
Apr 30, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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