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

April 10, 2026 updated by: Christopher Carlsten, University of British Columbia
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.

Study Overview

Detailed Description

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.

Study Type

Interventional

Enrollment (Estimated)

24

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

  • Name: PJ (Parteek) Johal, BCS
  • Phone Number: 604-875-5132
  • Email: p.johal@ubc.ca

Study Contact Backup

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Description

Inclusion Criteria:

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

Exclusion Criteria:

  1. Current smoker (within six months before screening; potential to confound exposure effects).
  2. 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.
  3. Any comorbidities or other concerns identified by the study physician which may impact study participation.
  4. For participants of child-bearing potential: Current pregnancy, or plans to become pregnant during study enrolment.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Prevention
  • Allocation: Randomized
  • Interventional Model: Crossover Assignment
  • Masking: Triple

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Arm A) Three repeated exposures to a low air pollution concentration
Three consecutive days with a 2-hour woodsmoke exposure at 35 µg/m3 of PM2.5 each day.
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.
Experimental: Arm B) Three repeated exposures to a moderate air pollution concentration
Three consecutive days with a 2-hour woodsmoke exposure at 105 µg/m3 of PM2.5 each day.
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.
Experimental: Arm C) Single exposure to a higher air pollution concentration
Two consecutive days of 2-hour filtered air exposures, followed by 1 day with a 2-hour woodsmoke exposure at 315 µg/m3 of PM2.5.
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.
Exposures to HEPA filtered air, as a control.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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).
Comparison of the different arms over the span of 4 months.
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.
Comparison of the different arms over the span of 4 months.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
Comparison of the different arms over the span of 4 months.
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.
Comparison of the different arms over the span of 4 months.
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.
Comparison of the different arms over the span of 4 months.
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).
Comparison of the different arms over the span of 4 months.
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.
Comparison of the different arms over the span of 4 months.
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.
Comparison of the different arms over the span of 4 months.
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).
Comparison of the different arms over the span of 4 months.
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.
Comparison of the different arms over the span of 4 months.
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.
Comparison of the different arms over the span of 4 months.
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.
Comparison of the different arms over the span of 4 months.

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
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.
Comparison of the different arms over the span of 4 months.
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.
Comparison of the different arms over the span of 4 months.
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.
Comparison of the different arms over the span of 4 months.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Chris Carlsten, MD, MPH, University of British Columbia

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

April 1, 2026

Primary Completion (Estimated)

August 31, 2029

Study Completion (Estimated)

August 31, 2030

Study Registration Dates

First Submitted

April 3, 2026

First Submitted That Met QC Criteria

April 10, 2026

First Posted (Actual)

April 17, 2026

Study Record Updates

Last Update Posted (Actual)

April 17, 2026

Last Update Submitted That Met QC Criteria

April 10, 2026

Last Verified

April 1, 2026

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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