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NCT Number: NCT07536178

Lungs on Fire: Wildfire Smoke, Incident Diseases, Susceptible Populations, and Community Values in Canada

Wildfire smoke (WFS) is the leading climate-related risk in Canada and the main source of harmful air pollution. While short-term breathing problems caused by smoke are well known, there is limited knowledge on how repeated exposure contributes to long-term lung disease. This study is a controlled human exposure to varying concentrations of WFS in a safe setting. By comparing the effects of different concentrations, this research will improve understanding of health impacts, identify who may be most vulnerable to exposures, and explore biological changes that could lead to chronic illness.

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Key information

About this study

PURPOSE: To use responses to controlled human exposures to woodsmoke, as a model of wildfire smoke (WFS), to quantify risk of, and add biological plausibility to, the supposition that WFS-related particulate matter with a diameter of 2.5 micrometers or less (PM2.5) contributes to the development of neurological and chronic lung diseases.

Study Exposure Arms:

Arm A: 3 consecutive days with 2h woodsmoke exposures at 35 µg/m3 of PM2.5 Arm B: 3 consecutive days with 2h woodsmoke exposures at 105 µg/m3 of PM2.5 Arm C: 2 consecutive days of Filtered Air (FA), followed by 1 day with a 2h woodsmoke exposure at 315 µg/m3 of PM2.5

HYPOTHESIS, JUSTIFICATIONS, AND OBJECTIVES Aim 1A: Enhance plausibility for, and quantify risk of, WFS contributions to chronic lung disease.

Hypothesis 1A: The investigators will determine mechanisms that plausibly link WFS exposure to the development of chronic disease, by connecting WFS exposures to lung function decline, asthma, chronic obstructive pulmonary disease (COPD), or lung cancer.

To assess the plausibility of linking WFS exposure to Chronic Lung Diseases such as asthma, COPD, and lung cancer.

To evaluate the biological impacts of WFS on the airways.

  • Specifically, what are the effects of exposure concentration, intensity, and time on inflammatory and immunomodulatory responses to WFS exposure?
  • Several biological pathways may link WFS exposures with the development of chronic respiratory diseases such as asthma, COPD, and lung cancer. These include effects of oxidative stress and inflammation on epithelial barrier integrity, which may facilitate contact with immune cells, allergen sensitization, increased infection susceptibility, and tissue remodelling that impairs lung function. Epigenetics, notably DNA methylation (DNAm), is another potential mechanism linking WFS to chronic disease, and the airway microbiome may also contribute through several pathways. However, WFS differs from general urban and traffic-related air pollution (TRAP), so effects of TRAP exposure demonstrated to date cannot be assumed to apply to WFS.

Aim 1B: Use a controlled human exposure study to identify, across different intensities of WFS exposure:

1.1 Neurocognitive changes relevant to the development of chronic neurological diseases 1.2 Temporal patterns of onset and resolution in relevant circulating neuro-inflammatory markers 1.3 Sex, age, and genetics as effect-modifying susceptibility factors for the above phenomena

Hypothesis 1B: The investigators will demonstrate disturbances in the brain default mode network (DMN), and intensity-dependent increases in circulating neuro-inflammatory markers, particularly in older individuals and those with genotypes conferring deficient anti-oxidant metabolism or those conferring risk of dementia.

RESEARCH DESIGN A randomized, double-blinded, crossover-controlled human exposure study.

STATISTICAL ANALYSIS Data will be analysed in R using generalized and linear mixed-effects models. Models will run with exposure as a fixed effect and participant ID as a random effect.

Who can participate

Healthy volunteers accepted: Yes

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

Inclusion criteria

  • Healthy Adults between the ages of 19 to 80 (12 of each biological sex assigned at birth).

Exclusion criteria

  • Current smoker (within six months before screening; potential to confound exposure effects).
  • History or current diagnosis of any respiratory conditions (including, but not limited to asthma or chronic obstructive pulmonary disease (COPD), asthma/COPD overlap) or other medical conditions that the study physician determines may impact participant safety.
  • Any comorbidities or other concerns identified by the study physician which may impact study participation.
  • For participants of child-bearing potential: Current pregnancy, or plans to become pregnant during study enrolment.

Treatment and study plan

Woodsmoke (Lodgepole Pine) exposure

Other

Woodsmoke will be freshly generated using a furnace tube burning dried, ground lodgepole pine (Pinus contorta) to achieve the nominal PM2.5 (particulate matter with an aerodynamic diameter of less than or equal to 2.5 micrometres) concentrations specified for each study arm.

Filtered Air Exposure

Other

Exposures to HEPA filtered air, as a control.

Primary outcomes

  1. Effects of PM2.5 exposures and concentration on exhaled nitric oxide.

    Time frame: Comparison of the different arms over the span of 4 months.

    Measurement of fractional exhaled nitric oxide (FeNO).

  2. Effects of PM2.5 exposures and concentration on Cambridge Neuropsychological Test Automated Battery (CANTAB)

    Time frame: Comparison of the different arms over the span of 4 months.

    Computational testing using CANTAB to determine e.g. 5-choice reaction time and percent correct all delays.

Secondary outcomes

  1. Effects of PM2.5 exposures and concentration on sputum cell numbers.

    Time frame: Comparison of the different arms over the span of 4 months.

    Differentially count sputum cells.

  2. Effects of PM2.5 exposures and concentration on brain functional connectivity.

    Time frame: Comparison of the different arms over the span of 4 months.

    Resting-state functional MRI (rs-fMRI) will assess functional connectivity within the default mode network (DMN) using a seed-based approach. Preprocessing will follow established neuroimaging methods. Functional connectivity will be determined as temporal correlations between blood-oxygen-level-dependent (BOLD) signal time series from a posterior cingulate cortex seed and DMN regions, using group-level statistical models.

  3. Effects of PM2.5 exposures and concentration on oxidative stress.

    Time frame: Comparison of the different arms over the span of 4 months.

    Assessment of oxidative stress using H2DCFDA.

  4. Effects of PM2.5 exposures and concentration on lung inflammatory markers.

    Time frame: Comparison of the different arms over the span of 4 months.

    An inflammation matrix will be generated, including data from RNA and protein inflammatory markers (e.g. interleukins (IL)-1ß, 4, 5, 6, 8, 9, 13, 17, 25 and 33, IFN., CSF1, TSLP, CC16/SCGB1A1 and c-reactive protein).

  5. Effects of PM2.5 exposures and concentration on lung imaging.

    Time frame: Comparison of the different arms over the span of 4 months.

    The lungs will be imaged with hyperpolarized 129Xe gas to measure ventilation defect percent, membrane-to-gas ratio and red blood cell-to-gas ratio. These measures will be standardized and averaged to generate a single composite lung function imaging score per participant.

  6. Effects of PM2.5 exposures and concentration on circulating brain-derived biomarkers of neuroinflammation.

    Time frame: Comparison of the different arms over the span of 4 months.

    Analysis of circulating brain-derived biomarkers of neuroinflammation using the NULISAseq CNS Diesease Panel 120.

  7. Effects of PM2.5 exposures and concentration on neutrophil extracellular traps (NETs).

    Time frame: Comparison of the different arms over the span of 4 months.

    Analysis of counts of neutrophil extracellular traps (NETs).

  8. Effects of PM2.5 exposures and concentration on host defence proteins.

    Time frame: Comparison of the different arms over the span of 4 months.

    Host defense peptides matrix, from e.g. alpha defensin-1, S100A7 and cystatin-SA.

  9. Effects of PM2.5 exposures and concentration on DNA methylation.

    Time frame: Comparison of the different arms over the span of 4 months.

    Measurement of DNA methylation after exposures and determination of epigenetic age.

  10. Effects of PM2.5 exposures and concentration on glia-derived extracellular vesicles.

    Time frame: Comparison of the different arms over the span of 4 months.

    Glia-derived extracellular vesicles will be measured in circulating blood using nanoflow cytometry-based direct labelling.

Other outcomes

  1. Effects of PM2.5 exposures and concentration on breath volatile organic compounds.

    Time frame: Comparison of the different arms over the span of 4 months.

    Collection and analysis of breath volatiles using ReCIVA technology.

  2. Effects of PM2.5 exposures and concentration on airway microbial taxon abundance.

    Time frame: Comparison of the different arms over the span of 4 months.

    The airway microbiome will be characterized using sequencing. Differential abundance analysis will quantify changes in the relative abundance of individual airway microbial taxa across exposure conditions.

  3. Effects of PM2.5 exposures and concentration on symptoms.

    Time frame: Comparison of the different arms over the span of 4 months.

    Symptoms and Perception questionnaires (e.g. https://particleandfibretoxicology.biomedcentral.com/articles/10.1186/s12989-022-00506-6#Sec15) will be completed.

Study contacts

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

Agnes Yuen, BSc

CONTACT

[email protected]

604-875-4111 ext. 66455

PJ (Parteek) Johal, BCS

CONTACT

[email protected]

604-875-5132

Sponsors and collaborators

Lead sponsor

University of British Columbia

Other

Registry information

Acronym: LoF

Important dates

Study start
2026
Primary completion
2029
Study completion
2030
First posted
Apr 17, 2026
Registry last updated
Apr 17, 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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